Hi, welcome to wiki mania 2022 the session on writing women into wiki history experiences and that's practices I'm Andrew Lee and we will be talking about The efforts in the past year to increase the representation of women in wiki media projects Through three different types of efforts one is through a glam institution at the Smithsonian one is through the wiki women in red initiative and one is with wiki Donna and affiliate that works in Italian So first one handed off to epi kipselis from the Smithsonian Hello, everyone. I am really pleased to be able to share this with you despite the technical problems we had I Am the digital strategist for the upcoming Smithsonian American Women's History Museum This effort started off as the American women's history initiative But in about a decade we're gonna have a building for people to come to as well But we have a virtual museum to build right now and some of the really critical issues that i'm facing are finding women across our 21 museums our interdisciplinary libraries and our archives one of the First reports that we received when congress approved for this initiative to move forward Examined us k-12 education standards and there is a woman problem there This report went into detail examining state standards across the u.s. And found that because of the way we framed history Women's stories are completely absent We focus on wars We focus on politics and guess what women haven't been there for many years Even though they have been there and they have been contributing. They're just not in the official record so This is really critical for women of color White women are there But right now in these state standards. There are zero women from asian pacific islander identity backgrounds There are reasons real reasons And there are people in our sector who are really trying hard to address this But we don't have the resources to enhance our data. We just don't So the smithsonian was founded in 1846 What was notable to be collected has changed drastically throughout that history We've also had no Female leader of the smithsonian in its entire history. We have the first african-american man Lonnie bunch who's leading our organization and doing an incredible job But when there are women at the head of organizations They do the work and align the priorities with trying to make Conditions better for women who work in the institution to have the say and what is prioritized The smithsonian collections in and of themselves are not structured to find women out of our 55 million collection items, which I think is the latest number, but don't quote me on that You know, we can't digitize everything. It's it's an endless task and nor can we create data for everything We're actually kind of behind because that's a hard part of digitization And and finally, um, we don't have metadata standards for gender They just don't exist. However, these are being modeled elsewhere and linked open data and we can start to do that through wiki data Let's do that So i'm just going to tell you overall my mission I'm in the office of digital transformation now is to transform An old institution to be more digitally relevant My stated mandate is to be in every classroom and household to help people navigate all the challenges we're facing, which we're Contributing to the technical issues we have today The american women's history initiative mission Is that in order to create a more just and equitable american society? Where the role of women in history is well known, accurate, acknowledged and empowering for citizens And this is a hard hard task to do in an old institution Of which there are many old cultural institutions in the world So some of the work we're going to be doing is to try and bring together the efforts of the cultural sector And i'm so thrilled. There are other people doing this incredible work rosie and camellia And that andrew lee and kelly doil are helping us at the smithsonian to do this Great. Thanks. That'd be a great team setting there As sefi said kelly doil is the open Knowledge coordinator at the smithsonian and has worked with the wiki community for many years I am the wiki meeting at large at the smithsonian and during the time that we've been working We have been very lucky to work with efforts such as those done by rosie stevenson goodnight That you'll hear about later about moving the needle to actually Going from 15 to 19 roughly on the number of women's biographies in english Wikipedia On our side, we've been trying to contribute digital assets and Edit the thons and the expertise of curators and researchers at the smithsonian to increase this number So since 2019 we've added more than 480 000 words about american women to the collections on wikipedia through edit the thons and other efforts And the images that the american women's history initiative has helped upload and contribute to the wiki media projects especially commons has more than 25 million views and what i think is more astonishing is That we now have a summer internship where we have dedicated wiki interns at the smithsonian and we train them This has been kind of a dream of ours is to actually train interns at the beginning of the summer on wikipedia editing wiki data commons all these things are having very productive wiki contributions throughout the summer So we've been very successful in that and even the interns that are not wiki specific We're giving basic wiki training to to appreciate um how Uh wikipedia helps further the mission of the smithsonian in disseminating digital content And these are just a sample of the images that we have with uploaded to commons and have put into the ecosystem of the wiki media projects there And then finally one of the things that we are working hard on is creating lists to Help identify gaps in the coverage of women scientists, especially through a project called the funk list And this is something that epi's been Instrumental in helping us further in creating a specific staff position for working with these women scientists lists So if i hand it over to camellia, uh talk about some of the efforts that you have in italian language Amelia Yes, thank you. Thank you, andrew So i'm uh i'm camellia bowman. I'm the co-founder of the affiliate wiki donor user group And on uh august 4 in 2016. I created the project wiki donor in italian wikipedia Which was was almost a need Because in that moment the female biographies was were at 14 percent of all biographies So we started by creating creating the female biographies being active during the discussions on the deleting procedures And talking about creation of women categories by profession we work We are working almost Most of all on wikipedia Where we wrote about women lgbt plus communities different able personalities uh para-athletes imagine people and communities And uh, we are also organized in the Extracurricular project in schools and courses for professors We are also the local organizer of campaigns intervention campaigns like atom feminism wiki gap wiki last for chlorocea woman and the other but also We Indiated new campaigns like inter wiki woman collaboration, which is a Recuring event since wiki media 2017 in montreal that runs this these days because it's Started during the wiki mania. It's and is connected to wiki mania. So please Join the the campaign We also ideated wiki love fashion wiki love sports and wiki woman in climate change We are also active in wiki quote wiki books camels wiki data and Open street map in wiki books. We started a series called Profility don't know which means women profiles from some part of italy and And we are collaborating rule with school for All of those biographies That are notable but only locally. So it cannot be written in wiki media Uh, we always wrote female biographies in wiki quote, but we are With the collaboration of wiki woman in red for the she said campaign we increased Impressively the amount of articles written in wiki quote. We arrived the last year to near thousands of articles New articles or increased in two months, which was the best result of this campaign We gave a Good waterfall support. I can say By illustrating the times we are living in We We helped to Upload and release with creative commons licenses Uh, many featured Covid images in commons and Three of them were on the top five of The picture of the year in 2020 We are organizing the urban tracings On the footsteps of notable female personalities and we started a collaboration with the cosmopolitan group, which is the fame female mappers on Open streets map to map to be other centers that are fighting the female genital mutilation in africa Uh, what I want to say that we are present in all the social Channel platforms from facebook twitter instagram youtube interest Telegram slug even tiktok and twitch Which Hoping to increase the interest because this is one of the problems. We would have participation Is one of the problems maybe Many of our the communities have so being present and do the things Thank you Great. Thank you so much. Uh, rosie thought maybe you could talk to us about women in red Oh, thanks so very much for that Andrew and camelia and effie So I'd like to say a big welcome to the people who are listening to our presentation And I would like to introduce you if you don't know about us a community called women in red I'm one of the co-founders of that Women in red is a community of editors of all genders We live around the world and we focus on reducing systemic representation bias in the wiki movement Women in red was established in 2015 seven years ago At wikimania mexico city So for us, this is our anniversary. It's a holiday Our community strives to increase the representation of women on wikipedia and elsewhere And this includes new women's biographies But also articles about women's works Such as the paintings they painted the sculptures they sculpted the schools they founded the conferences they convened This also includes new articles about women's issues Think things like women's health women's suffrage and so forth What led us to Establishing this community is that we read an academic paper published in december 2014 That was the first time that we saw a statistic and that was this that in october 2014 Based on the db pedia dump Only 15.53 percent Of english wikipedia's biographies were about women Not impressive But now thanks to the efforts of the global community as of august 2022 The percentage is up to 19.3 percent What that means roughly is that out of the 1,897,000 plus biographies on english wikipedia About 366,000 of them are about women Since we began our work around the world more than 189,000 new articles Have been created by people just like you and me and your next door neighbor and my next door neighbor I've been talking about english wikipedia, but women in red exist in 31 other language wikipedia's Each with the same mission Each carrying its own statistics or metrics on how it evaluates its improving of the women's representation on wikipedia We coordinate our work on our talk page Where more than 27,000 General forum comments have been made by more than a thousand unique editors. Maybe you On wiki the women in red main page has had more than 18,000 page views in the last 30 days alone Our talk page has had more than 3,000 page views in the last 30 days alone Women in red is a harassment free zone on wikipedia and you're welcome to drop by and chat about women's representation on wikipedia Women in red facilitates about five events each month Each event is at least a month long, but some last a few months and others for a year or even longer Most of our events are online and without a partner institution It's people participating anywhere and everywhere in the world Day or night Women in climate pride women women in stem women in the ancient world women in sports black history month women Indigenous women and so forth We have events that someone somewhere would like to participate in And again, we hope that that might be you We do enjoy working with partner institutions. Our current collaboration with care international is a big hit Content gender gap goes beyond quantity of articles But also to the systemic asymmetry in the way that three dimensions of analysis Favor one gender over the other that would be metadata language and network structure In this regard women in red offers a series of essays aimed at editors who are new to writing about women's representation Our essays are based on our experience and also learnings from the research conducted by others But how do we know who's missing from wikipedia? Every community has its own practices and when we work with a partner The partner helps by providing more and more new names Women who are notable but missing At women in red we capture those names by creating what we call red lists These are lists of red linked women meaning they don't have an article on wikipedia We have more than 800 of these lists Some are generated by bot using wikidata Others are crowdsourced Others come from biographical dictionaries or based on authority control numbers or from websites such as those websites that focus on award winners Women in red is also a wikimedia commons community Every year our members upload Thousands of images of women There are signatures There are marks There are works to wikimedia commons and then these images can be added to wikipedia articles This is a significant part of our work and to some extent different people focus on uploading images versus writing wikipedia articles In 2022 our members have uploaded to wikimedia commons more than 6,000 images regarding women and their works Just like different people like to edit wikipedia or upload images to wikimedia commons or Do wikidata work some women in red people prefer focusing on promotion of our work And by that I mean mostly social media Our heaviest use platform is twitter where we've made more than 29,000 tweets And have more than 11,000 followers I think some people are reading wikipedia Just by scanning our tweets about the biographies we've created and then maybe clicking a link or two. Maybe Women in red also has a significant presence on pinterest as well as instagram and facebook So far we're not on tiktok or snapchat And at some point we probably will because that's how some people are accessing information There's also a case for accessing content via virtual assistants like siri and alexa So what we're trying to do is reach people in the places where they want to hang out In order for them to learn more about women in wikipedia Did you know that 24 percent of wikipedia readers identify as women according to wikimedia foundation research Care type or characterizing wikipedia research behavior demographics and wikipedia use cases This is based on a 2019 study on english wikipedia Where 70 percent of the respondents were under the age of 30 and 76 percent of the readers identified as men Few women readers few women editors Not so much representation of women in the content on wikipedia Where do we go from here? We need you We need you to come and join us in this work And with that we say thank you Thank you to all of you for viewing this and learning a little bit more about the work We're doing writing women into wiki history Experiences and best practices We've covered a lot. Hope you've learned something feel free to reach out to any of us to learn a little bit more Thank you so much again for your time Thank you rosie and thank you everyone We have a few minutes for some discussion around the content and looks like we have some very similar themes Chameleon, maybe I can ask you first what you said to move from you started with 14 roughly for women's biographies in wikidane, right? What did you imagine we could make it to where we are now like and also for rosie when we get to you When from 15 percent to 19 percent What is your reflection on on where we are now and what we have to do? So and we started with 14 percent we are now Around 16 and 5 percent something like this which seems not so so Not so much because it's only two percent of Moving but if you think in italy and wikipedia one million Eight thousand articles and I don't know really specifically how how many biographies There are a lot if you think of wiki wiki for women in red They moved five points But wikipedia in english has eight millions articles eight millions and much more so Rosie talked about Three thousand and something biographies Written during these years Which is a lot Which is a lot of thinking that we usually have let's say Two ten people who participated in our events Or if we we are doing the contest and we We can I don't know Gauge of the people let's say maximum 20 30 People during the new event. It's a lot of of work behind is not easy. So it's not so It's not a few as you can be seen from Right, that's a great point. And how about you rosie when you see the 19 percent number in 2022 Looking back up to the beginnings of the project. What are your thoughts? I'm grateful to see that we've done what we wanted to do which is Move the needle You know when we started out, we never set a goal. We never said 20 percent 25 33 49 50 51 There is no end goal The goal is just to improve upon the numbers that we started with Which first number we ever saw was something like for 14.5 15.5 percent And we knew that there were more notable women Than that we knew that that there could be an increase if we just devote ourselves to it You know, this is we're not the first kind of start this kind of work preceding women in red there were other wiki projects with women wiki project women scientists wiki project women artists wiki project women writers wiki project women's history these all preceded us, but they all had very Finite scopes that focused on artists or scientists or writers women in red Focuses on any woman of any time period anywhere in the world if she's notable. She's missing this article Let's write it in any language It should feel comfortable writing in which means we also do a lot of translations in all different languages English to Italian Italian to English and so forth so I think we've accomplished what we set out to do which was improvement But the job isn't done. We can improve more So Looking forward to how this conversation will go at next wikomania When hopefully there will be even more articles that we can talk about And some way these projects are connected with wiki mania because also wiki donna started a month after wiki me wiki mania because I saw your talk during wiki mania in ezinolario, so wiki mania give starting points to these kind of projects Yeah, I think it definitely shows the value of these face-to-face meetups to to spark these types of things fb. What are your thoughts? I I just uh, you know, I'm noting the commonality in our shared experiences. I was inspired by wiki women in red. I started um Working with the wiki media dc chapter and i'm lucky because in the u.s We don't have a lot of localized chapters, but they approached the smithsonian Library of congress national archives, so the big u.s ones to to try and get us to work with them and You know, I jumped on board because I I knew that we're public institutions that need to Share our resources. They are for the public good of the united states So that's why we adopted smithsonian open access, but when I released smithsonian open access right before the pandemic I knew the vast gaps in representation for people from american indian communities For people from black american communities For latino american and women's history. These are two new museums latino american and american women history And we have 55 million collections and we can't find the women so I work at the largest museum and education complex which has relatively better resources Than other institutions Now that doesn't mean that we have the resources currently to do that, but I think we can make a compelling funding case For starting to figure out the infrastructure that we need to share our things more at scale And that is exactly why we brought andrew for smithsonian open access and Why I need partners like the ones in the room because it's not a smithsonian only problem We've got to work across so many data sets to pull out women We also have to address the tools that sideline women We use artificial intelligence and data science at the smithsonian To describe collections because we don't have the manpower or the woman power Actually, it's more women power in this case. We have more women doing this work. That's less paid than a lot of other roles So How do we help them? How do we help them keep up with the backlog? But also do the work they really are skilled at to develop these standards That would help these communities be more seen in our cultural heritage These are people's memories People need to see themselves In cultural heritage if we don't do that we're causing harm. That's all I have to say Yeah, that's a great point at the end and something that I think we we sense but maybe we only got numbers about recently as we saw that The readership of wikipedia also has a gender imbalance, right rosie and that was kind of astonishing at least to me We kind of assume that oh everyone uses wikipedia and we all kind of find it useful We need to increase the number of women's biographies or participation when you start to look at the readership numbers It's also askew much more male than than female and that's worrying because that means that we're not finding content that's resonating with women perhaps in wikipedia as well What are your thoughts on that rosie when you saw that that readership number? I was surprised. I have to say I was surprised. I thought that that number would be balanced Um, we just goes to show that if you if you If you don't have access to this kind of information, you really don't know But once you do you should share that should let people know the only question I really have about that though is that you know our women accessing wikipedia in different ways and by that I mean just like I said, you know if you if you write on On a social media platform, let's say twitter or instagram You you you put a photo of a woman and you put a little bit about a wikipedia article Does that count? I think it does because I'm one who's very inclusive. Does that mean you're reading wikipedia? You're reading about a woman who's on wikipedia if you only read a little short blurb about her on twitter or instagram um, or You know, we've got people who are making um TikTok videos about some of our wikipedia pages all different kinds of pages and All of that in my opinion counts. You're just accessing wikipedia in a different kind of way And maybe you don't have the whole story, but maybe you come back later and pull a link Um, I don't have all the answers to that. I don't think anyone does but I think it's worth exploring And I think it's worth learning a little bit more If you how about if you use seri or alexa and you ask a question and it replies with an answer directly from wikipedia Is that a different that's a different form of consumption than reading but does it count? I think so Right right and it's it's interesting We we have this session called writing women into wiki history But we're also talking about a whole range of other things as you said with interests with images with wiki data And voice assistants. So maybe next year's session will be about the broad range of impact Beyond just writing because we're just getting started with this impact. Camelia one last Yeah, even for me, it's surprising because what I see around me. It's a lot of interest A lot of interest for women biographies and People ask me and say me look this article is missing this biography is missing in italy and we have in english We have in french, but we have not in italyan or even They they said look is this article is not well written as on the lead section is written that Was the wife of some man is not Is not Notable because she's that the the wife of that man So a lot of times I I go to change this This first of this leading the section and right now we have a discussion on italyan wikipedia about this Man We which started the discussion said it's time to finish this this way to to write female biographies which was Which was great because Let's remember what rosie said that we are not addressing the women. We are addressing everybody because women history is not Only about history of women. It's about the history of the world. So it's something that It's up to us and it's important for all I just want to add one quick thing because you reminded me of something camellia Why are more women not writing on wikipedia? my guess Because I've had a child a young child and your knife kids the same age during the pandemic I don't have Enough time to do this in more evenings because guess what? All the stuff that's been waiting during the day is there so It's not easy as women to do this. We don't have the side time because unfortunately Um, we're still Holding a lot of the household duties So we can make these faces very friendly and I so appreciate all the work that all of us do for that Like real hard work to do that But women don't have the time You know, that's studied and research. There are stats on this. So that's part of the issue. It's systemic We certainly can make it easier for people and we're going to keep trying to do that Great. Well, thanks so much for the rich conversation And we hope folks will get involved and take a look at wiki women in red wiki dana and the efforts that we have out there so thanks again for listening and Feel free to get in touch with any of us. Take care Hello, hello. Welcome to my session on ninai and ufiro tools to generate abstract wikipedia like text using wiki data items and lexemes My name is mohair mooreshed. I go by user mohair 256 on wiki I'm a graduate student in electrical and computer engineering at the university of illinois And i'm an administrator on wiki data and the mingali wiki source In the last couple of years since the abstract wikipedia and wiki functions projects were announced I've been interested in getting the scographical data ready for text generation purposes Some of you may have seen me at previous events discussing matters which have some relation to that Well today I want to discuss the sorts of tasks and planning that I have found necessary To get your language to the point where text can be generated for it Starting with work on wiki data items and lexemes then on to abstract constructors and concrete renders And finally putting these all together before we do so. However, it may be worth briefly overviewing wiki data items and lexemes So what are wiki data items? In short, wiki data items are essentially structured multilingual linked and machine readable pages about different concepts All sorts of stuff from people and places to things and ideas alike can have wiki data items Information about these concepts is stored in the form of individual statements Which basically represent individual facts that we can separately add qualifications and citations to The items themselves also have human readable names reef descriptions and possible alternate names that can be translated into your language And many of them also link out to various other wiki media projects It's possible to get information out of all of these items using the wiki data query service And there are any number of outside projects that use wiki data's data every day No matter what language you do speak it's important that wiki data items be modeled consistently well So that we can get information out of it properly Now what are lexemes? Whereas items represent different language independent concepts lexemes represent words and other linguistic units used in a single language From nouns and verbs to entire phrases and everything in between Each lexeme includes not only information about the language it is a part of and its grammatical category Whether it's an adjective an adverb or something else It also has individual forms listed for those words which change depending on how and where they are used And individual senses representing different meanings that a lexeme might signify when used Lexemes forms and senses all have statements just like items so that information about words phrases and their parts can be similarly qualified and sourced The senses on a lexeme in particular and the statements on those senses which link out to items and other senses Are critical for ensuring that abstract Wikipedia can discuss different concepts in appropriate ways This brings us now to the abstract Wikipedia In general its aim is to make information accessible in more languages by essentially putting article information into an abstract language independent machine readable form Sort of like a wiki data item with the potential to represent more complex ideas And then having software turn this abstract information into text in any given language Both the information and the text generation software is still meant to be provided and maintained by a community In the case of the software possibly hosted in the wiki functions project But ultimately the idea is to ensure that anyone in any language can work on the abstract article information While those interested in text generation in their own language can separately work on aspects related to it Now there are two types of objects that are important for the rest of this presentation Besides items and lexemes of course constructors and renderers So what is a constructor? Well a constructor represents an abstract unit of meaning This unit can be an entire sentence with multiple parts to be filled in a type of phrase with a single slot Or a singleton for some concept that modifies other constructors The machine readable articles of abstract Wikipedia are ultimately planned to consist of constructors used in different ways These constructors may also reside in wiki functions It is possible that one constructor may be made to correspond to an entire sentence of an article But the kinds of constructors that will be needed is best left a community decision once the project itself launches Nothing stops us however from attempting to model potential constructors to handle different types of information In advance of the launch of the project. So what are renderers then? Well renderers on the other hand take the constructors in an abstract article Transform the filled in parts into pieces of text and put those pieces of text together into coherent parts In general for a constructor to be turned into text in a given language A renderer for that constructor language pair needs to exist These are ideally functions posted in the wiki functions project that can be called on when needed by the abstract Wikipedia Most of these will likely involve exploring relationships among wiki data items and lexemes To find the right lexemes to use and perhaps configure them so that they fit naturally in the overall result Like constructors the renderers that will be needed are best provided by a language community Though nothing stops us from attempting to provide some of these now So you've heard about wiki data. You've heard about abstract Wikipedia. What are ninai and udiron? Well ninai and udiron are names that I have given to the two parts of a text generation system That I have been intermittently working on since last august Ninai is able to take a custom representation of constructors and search for the right wiki data items and lexemes for different concepts And udiron provides functionality to build up sentences piece by piece Using the lexemes it retrieves from wiki data I began writing these then because I wanted to make discussions of abstract wikipedia much less nebulous and much more Concrete than they were before my hope was that having some sort of wiki data powered text generation system out there No matter how much influx it was would not only as a proof of concept To motivate people to improve lexemes and items for their own languages But also would enrich the kinds of ideas that might be entertained when people talk about the asset on launch project Of course, whether I have succeeded in this change in discussion tone remains to be seen The software itself is currently written in python, but this is because of course wiki functions in the abstract Wikipedia do not exist yet Aside from this python is one of the languages that a function in wiki functions can be written in And the structure in ninai and udiron is intended to make transplanting it to wiki functions as easy as possible Respecting the technical limitations that have been brought up when it comes to that platform There's still a lot to be done and the source code is out there for those who want to try using and expanding Most of the work I have done with ninai and udiron concerns Bengali, german and swedish With a few digressions into other languages But the rest of this presentation involves going through the process for adding support to ninai and udiron for a single new language This single new language will be dakmani I do want to emphasize a few things before we begin First of all the steps needed for each language are most likely going to differ considerably between languages The decisions made for dakmani support may not necessarily work for ikbo or hausa or chi or indeed any other language Second of all while it is possible to model things one way early on just to get something working As i'm doing right now It is important to refine the model soon enough to ensure that it can handle whatever new linguistic features and details need to be handled later Third of all it is entirely likely that the resources i'm using for this demonstration Inadequately describes certain features of dakmani and so modeling decisions that I as a non-speaker have made with them May well need to be undone or adjusted by dakmani speakers or others better acquainted with this language than myself With these disclaimers out of the way, let's begin We should first start by considering precisely what statements we want to make with this system In the interest of time and to ensure that this demonstration doesn't get bogged down in much detail Let's just make some simple assertions about the kinds of things different people and animals consume Someone drinking water a speaker eating a yam sheep drinking a lot of water and a monkey eating a banana When turning these into abstract sentences, it is important to be able to break down their components and identify the relationships between them Consider the sentence about monkeys and bananas the sentence is at its core about eating with someone doing the eating and something being eaten Usually these two participants by themselves are not saying anything about themselves when they are uttered alone They can however be linked by an action through action to say something about both of them One can argue that applying the action of eating to the two participants yields a meaningful statement about them at a given point in time In a way, it's almost like to eat is a function in this case a constructor Which takes two participants and produces a statement In nenai the actual activity to eat is bled out into its own input to a more general constructor action Alongside the two participants for reasons which will become clear later We can transform the other three sentences to use constructors in a very similar way Some of their components can themselves be broken down and reanalyzed into function like formulations In the sheep water sentence the relationship between much and water can be considered applying a general attribute to a noun Hence the attribution constructor And the position in space of the sheep is in closer proximity to the speaker hence the proximal constructor Remember how wiki functions can host various things to be used by abstract wikipedia? This formulation of constructors as functions taking arguments is precisely inspired by the kinds of objects wiki functions is designed to hold Now if you are planning to generate exactly these sentences in your own language You most likely will not need to repeat the process. I just went through it is entirely possible that the abstract representations of the Relationships I described would be the result if I started with other languages What follows however is important for every language to do possibly separately This is where wiki data comes into play First thing we need to do is create lexemes for the words in those sentences Or rather we should check first whether these lexemes already exist Searching for them by going to the search bar and prefixing l colon to the lexemes we have in mind And then expanding or fixing the ones that do exist if it's necessary to do so Remember we need to create only those lexemes which are actually missing For the purposes of this demonstration, however, we will pretend that none of the lexemes we need exist So we should create them all let's begin with the monkey banana sentence We will need at least three lexemes here the two nouns for monkey and banana and the one verb for to eat In each case we can go to create a new lexeme by clicking create a new lexeme in the sidebar There we need to specify the word in question The language of that word that body in all three cases and the lexical category of each word Noun or verb as the case may be Once we have specified each of these things we can move on to adding some critical parts of these lexemes The most important of these critical parts are those that tell people what each word can mean These are the senses without senses and without an external source that might provide any meanings a lexeme is effectively meaningless Without senses and without an external source that might provide any meanings a lexeme is effectively meaningless Let's add some to the lexeme we made We can add a sense by clicking add sense and filling in a description in at least one language We know that this one means monkey in english And we might say that it means monkey in each of these other languages A dakbani speaker rather than just repeat the word should come by and an explanation in dakbani of what a monkey is to this sense We can do the same thing with these other lexemes Once we have added meanings to these lexemes We should add at least one form to each of these lexemes While the lemma is important for identifying a word in many languages the lemma is not directly used in a sense Some transformation of it is used in said In dakbani, this is true nouns which have both a singular and plural form Which lend themselves to classification And it is also true of verbs, but both of these discussions are a bit too long for this demonstration For now, we can add the base form of the verb as a form by clicking add form Filling in the base form and then saving it on nouns We can click add form fill in the singular form and add a grammatical feature singular to that form Then we can do likewise with the plural form We've added a lot of information to each of these lexemes But the power of text generation is only really realized once they are connected to other things on wiki data Or rather when their senses are connected to other such things This way for a given concept if we start with a wiki data item for that concept Or a wiki data lexeme in another language for that same concept We can follow a property trail all the way back to any other languages lexemes for that concept There are a lot of properties for this, but there are two in particular that will be useful for us The first of these specifies for a particular lexeme sense an associated item for this sense It links a meaning of a lexeme typically a noun to the wiki data item corresponding to that meaning To add this to the sense on monkey we click on add statement under the sense in question And then type item for this sense in the box that appears Or p5137 which is the property id for that property We can then search for the wiki data item for monkey click it and then save the statement We now have our first link between this thugbani lexeme and another entity on wiki data Since other lexemes in other languages with the meaning monkey can have exactly this type of link This means there is now a link between this thugbani lexeme and those other language lexemes Let's do the same for banana and then the do the same for to eat Note that for to eat which is a verb and not a noun We use a slightly different property predicate for but the logic is pretty similar to item for this sense So treating it separately will not be necessary here The second of these properties is useful when there is a not yet a wiki data item corresponding to a particular meaning So that item for this sense is not applicable If there are multiple senses across languages with that meaning It may be more feasible to just specify that one of those senses is a translation of the other While we don't have to use it for any of these lexemes given that there are already items for monkey to eat and banana Let's try linking to eat to the igbo lexeme sense with that same meaning For this we copy the lexeme sense id from that lexeme Add a translation statement and paste that id into the box that appears Once we do the reverse operation on the igbo lexeme We have now established a link between those two No wiki data items required If there is an appropriate wiki data item you can link to you do not need to add translation I cannot emphasize that enough On the verb to eat there is one more property that you will need to add And more on this property is shown in the link below But we don't can move along to the actual act of forming sentences with renderers Before going further into it however, it is important to discuss briefly how we are forming sentences In short we consider sentences as formed through attaching their words together in a structured fashion Forming a sort of tree with a root at one word in this case sleep and branches to other words Namely the other words in the sentence There is a project called universal dependencies Which is attempted to make trees like the one you see here for sentences in more than a hundred languages Using the same types of connections and as consistent a fashion as possible With respect to the dugbani sentences, we can observe a few things about how they are structured For example in this diagram of the sheep water sentence We see that the subject of the sentence namely the sheep Proceeds the verb namely drink in this sentence It therefore is important that when a subject needs to be connected to a verb We must attach it to the left of that verb This can be specified as a method in Udiron by calling a function that takes a subject and a verb and performs exactly this attachment Because lots of other languages link subjects and verbs in the same way There was already a separate function made specifically to do that that could be called upon So we didn't need to re-specify everything ourselves Just a brief reminder before going on when you look at this code sample wiki functions doesn't exist yet Otherwise it would be possible to turn each of these functions and variable names into id's and thus make the entire source code Translatable while Nina and Udiron are set up to be as easily transplantable to wiki functions as possible The lack of source code translatability is just one thing I could not address A similar sort of function can be written to deal with each of the other structural relationships in this sentence Objects of a sentence like water here Following the verb in the sentence can be handled with an almost exactly the same sort of function that was used to deal With the subject verb relationship in this case the object needs to be attached to the right of the verb Adjective noun relationships also use similar handling as it does the demonstrative noun relationship The handling of the suffix that appears with the verb in this sentence Is that similar but also a bit different because the function in question Which is called whenever a verb must be marked for the imperfective aspect Can be written to always use that suffix rather than require a provided suffix For reasons which I hope will be a bit clearer when we go into the parts of this system That actually interface with the meanings of words These are the renters If we return to the original abstract sentences and here I've fleshed out the sheep water sentence in sort of the way that Nina expects it There are two types of objects within them that need to be handled the basic entities and the constructors With respect to the basic entities Nina Unitedly has functionality given an item like these four or a lexeme sense to search through wicked data properties to find a lexeme in a particular target language We just don't have to do anything special here Remember the item for this sense property and the translation property Here is precisely why they are so important This then leads to the constructors each of which will have a corresponding renderer By the time we need to render a constructor We can assume that their inputs have separately been processed either into words or into sequences of words The main activity of the renderers for dakbani will be to invoke one of the functions mentioned in the previous section The ones that attach things to verbs or to nouns The renderers for attribution and proximal in dakbani are in fact as simple as that The action renderer however given the potential generality of the action constructor Actually is split into multiple sub renderers one handle subjects like the sheep One handles objects like the water and one handles inflections like the habitual inflection These sub renderers for dakbani luckily are just as simple as the other renderers It's actually possible to add custom functions that must be run at different points in the rendering process For example, many constructors in different languages have functions that add end punctuation such as periods after rendering If the constructor in question is the outermost We can do the same with the action constructor, which is here the outermost in dakbani We can now try rendering our abstract sentences Because nina and uderan are currently written in python We need to start a python session first. Then we need to import a bunch of stuff Then we need to type out one of our abstract sentences Then we need to call a method renderer on that sentence specifying that we want to render it into dakbani And voila You have now seen the basics of how abstract Wikipedia like text generation can work with nina and uderan There may have seemed like lots of aspects were presented at first But just the functionality shown allows for the production of a whole lot of sentences just like the ones I showed I'll admit that some things were discussed rather quickly or had gone past But I believe that the rest you have seen is nevertheless reflective of the most important steps to take It took lots of repetitions and trial and error in designing this system And by the way, nina and uderan are still living continually developing pieces of software that I frequently consider expansions and revisions to But I believe that this whole process is to ensure that the system which may well power the abstract Wikipedia Remains both flexible and powerful for all languages I hope from this demonstration you recognize some ways that you can help right now to make text generation in your language possible Here is a recap of some of the most important things First of all create lexemes the words that you use in your language right now Will definitely need lexemes if they're going to be used in a text generation system like this one Make sure to search for them before you create them if they already exist try to add more information to them Including and especially senses A form or two might be nice Link lexemes senses to items If getting the right word is key then you need to be able to arrive at it from other possible entities on wikidata Since wikidata items are language neutral entities linking lexemes senses to wikidata items via item for the sense or predicate for Or devinim of as the case may be Is perhaps the simplest way to ensure that the right lexemes sense can be found Link lexemes senses to other lexemes Of course not all lexemes senses have corresponding items and that's okay We have properties like synonym or translation or antonym or hyperonym or pertainin Probably something else. I haven't heard of to ensure that these senses can still be found when starting from other lexemes Think about how you put sentences together Whatever you put a sentence together no matter how simple or complex There are usually some rules as to how parts of this are done Try to formulate these rules They could be entirely informal or they could be based on linguistic expertise and research Whatever the case see how much you can capture in a sort of functional form Think about how you express meanings Similarly when you come up with words to indicate a particular concept There may be a number of different possibilities to arrive at equivalent expressions Or there may be a specific manner used all the time in your language for that concept See if you can also come up with some methods for these And with that, thank you so much for watching You can find me both on wiki and on a variety of platforms If you have questions about wiki database text generation in general and Nina and Udiro in particular Enjoy the rest of wikimania Hi Nat, I think there was a confusion with links there, but we're in the right place now Okay, so now we can start Yes, I'm just going to message production just to let them know that we're all good How are you doing? Okay, thank you Good, give me two seconds Okay, ready when you are if you want to start talking and then they'll admit people and start joining the room Yeah, yeah, by that I can already start talking for Yes, go for it Okay So welcome everyone to the panel Image credits in wikipedia can be better I'm going to introduce my shortly introduce the four speakers who are going to take part in panel and then Every speaker would introduce a bit more if they want about themselves So we are going to talk with Isaac Who started the whole conversation on facebook Thanks to which we do have this session Asaf Bartol a long-time wikipedia Dominic who is going to talk about his work also related to this issue problem with image crediting and I am a Ukrainian wikipedia and also an illustrator on the Ukrainian wikipedia and I also share the concerns and I The outline of the Panel is we are going to present slides. We are going to talk about Issues that we see problems and also possible solutions and Talk about pilot project and it can be started as a result of this talk and also we are going to take questions or Discussion points if anyone of the audience would like to add something Is that I'm going to keep floor to Isaac Thank you very much So Providing additional context Uh On the fact that this old discussion actually started from a wikipedia weekly facebook page And i'm really very excited to join this conversation today But let me start by saying that most re-users of images from wikipedia believe it's safe And they do not have to worry about any risk of criminal liability or legal jeopardy But in the rick sense images on wikipedia are really free and safe for re-users Yes, it is free and safe Provided the re-user can comply with the licensing, you know conditions of the image But imagine a scenario in which an academic or A company for instance Re-use an image from wikipedia And credit seams to wikipedia because they found the image of wikipedia And a week later receive a letter from a lawyer that they have infringed on the copyrights of the image they use from wikipedia The acrobatic or company was told the image belongs to In edirium photographer called bio company oam And has the academic or company to pay damages and legal fee So this is the kind of risk we are probably subjecting re-users of images in wikipedia as to So let's look at Our current practice In the current practice on how We provide Informations for re-users So our current practice provide the licensing information on external website mostly wikipedia commons With insertions of a clickable links to the original file that contains all the relevant information And our current practice also assumes that re-users will click on the invisible links to find the image license The question is is our current practice really effortful enough for our re-users Do they have sufficient information? I need to is this current practice sufficient enough for our users to satisfy the licensee requirement of images they use on wikipedia This is alfago from production one second. So we just provide that link and you know, tell them to Provide information, you know, uh, that they must click on link to find those information. So we just you know put that invisible link there But that comes with these old problems So we need to look at the common problems that are you know associated with the current practice One of them is mis-attributions by re-users or no attributions at all Because most of the time when these re-users uses contents from wikipedia They just credit it to wikipedia a team Isaac Isaac Isaac. Can you hear us Isaac? Sometimes they don't even provide at the bush what can't hear Isaac. Can you please? And by extension these poultry users at risk of criminal liability All right, I put him into The waiting room, um, and we are actually starting now Hey puddle, can you ask Mikael to come in? Sorry, there was a discrepancy here. We are getting started now to have you join So we start only now from the beginning. Yes, and then I'll add okay one second. I'll let you know when Apologies Okay, hello. Can you hear me? It looks like um This system locked me out One second. We are putting Isaac, we are still not ready. Can you hear us because you were not able to hear before so I don't know. I'm not sure if I can continue If you can hear me Yes, we can hear you. Can you hear us? Can you hear us because you were unable to hear before? Okay, we Thank you very much. Uh, now how is Yes, we need we need uh, can you hear us? Can you hear me? Yes Yes, we need to start from the beginning. Sorry. Wow Yeah, we tried to call you but you didn't hear us for some reason Okay, so good to go. Yes. Thank you so Feels a bit like a So thank you very much. Uh I'll start I'll start again and I'll tell you when to you can again. Okay. Yeah Sorry, everyone in the room. Sorry. Uh, you'll have to Do the being from the beginning again So, uh, welcome everyone to the session image credits in wikipedia. Can we do better? We want to talk a bit about our own practices of attributing not attributing mentioning using media images in wikipedia articles and this panel Going to have four speakers. That's isek Asa Bartov and Dominic and myself We all come from different wikipedia's different projects and we also have different backgrounds but this panel The the topic of this panel is relevant for all of us It all of the idea of this talk started with the post by isek in Facebook and wikipedia weekly and We are going to talk about our practices and about problems and possible ways to Resolve them and also ways to join a pilot project if anyone from the audience is interested in And also we are going to have a session with q&a. You can also definitely post your questions in the chat Um, but we are going to take them along the way if you see them and they fit or maybe later when we have the q&a session So with that i'm going to give the floor to isek Thank you very much nuts. Um, i'm happy to be here and thanks for providing the additional context that this conversation Started on wikipedia weekly on on facebook So, um, I would like to say that most re-users of Images from wikipedia strongly believe it's safe and they do not have to worry about any risk of criminal liability or Geopathy for using any of those contents from wikipedia But images on wikipedia are actually free and safe for users The answer is yes. It is free and safe Provided the re-users can comply With the licensing conditions of the image and one of the most important and key requirement is that the copyright order which is The photographer in the case of photograph must be credited but imagine a scenario in which a business company or Or an academic institutions reuse an image from wikipedia And credit the image to wikipedia simply because they found the image on wikipedia And a few days later receive a letter from a lawyer That they have infringed on the copyright of the image they reuse from wikipedia And the lawyer claiming the image belongs to one hyza or latin day from nendure in nendurean photograph and not wikipedia and demands, you know, the The academic institutions or the company to pay for damages and the legacy So this is probably a classic example Of risk we are putting or subjecting the re-users of images from wikipedia as to That they don't get to report reported on the media does not mean they don't happen Some of these things happens almost all the time But is our current practice Is our current practice, you know Really helpful enough for our users to satisfy this legal requirement Let's review our current practice Let's uh, you know, uh put it like this Our current practice actually provide the licensing information on the external website Usually with media commons And insert almost invisible Clickable links to the original files containing all relevant information These same practices assume That re-users will click on the invisible link to find the image license and every other informations pertaining to that image The question is, is this current practice Sufficient enough? Is it effort enough? Is it enough to guide re-users on how to reuse content from wikipedia? It is not entirely bad to Present it this way Well, it also comes with its own problems. So let's look at some of the problems that has to stated with This sort of guide guides So one of the common problem is mis attributions by re-users or no attributions at all So mis attribution in the sense that many people will reuse content from wikipedia We almost, you know, credit that content to wikipedia itself Or provide no attributions at all because they would definitely not see All the copyright order is right from the page And by extension this puts these re-users at risk of criminal liability or legal jeopardy And this has a serious implications on a project on its credibility reliability And sorry, on its credibility and reliability of information on wikipedia But why should we even care about crediting copyright order in wikipedia? Why should it matter? Why should we spend, you know, volunteer time trying to provide credit? First of all, it's a legal requirement that we must satisfy and we must strive As much as possible to satisfy that legal requirement. There is no excuse That volunteer's time will be wasted is not a valid reason to circumvent that requirement So why should we care? One, it minimizes or even maybe Significantly reduces mis attributions Which means if you make the credit line as clear and visible as possible People will hardly misattribute this to wikipedia People will hardly or almost not be able to not provide credit lines They will, you know, see the copyright order and whatever it is And they will be able to provide appropriate credit And this way we protect copyright orders Works from misuse And this gives them, you know, confidence in our project and, you know, gives them the The impression that we are reliable and we can actually protect their interests and, you know, immediately resort in them adding more content releasing more content for use Then it also protects users from criminal liability or legal body after use. I mean Remember the scenario I I printed. I mean, you can imagine if I have to receive a letter from a lawyer that violated the copyright because I misattributed Not my fault because I don't have, you know, a sound knowledge of how copyright works And I believe the content of wikipedia has been released on that free license And I get that kind of, you know, letter It could, you know, change my orientations, my thought, my belief About wikipedia's reliability and credibility So all of that encompasses our serious implications on our project So I'm saying in the next sense that it shows that When we, when we, you know, care about all of this The picture we paint out there is that wikipedia can be trusted It's credible and, you know, can be considered reliable As a good source of information So how or what should we do better to improve our current practices? How should we go about it? Who are the people that should be involved? Are there, is there any steps that should be taken as an emergency intervention? What do we do with the ones that have been, you know, Probably drawn wrongly in the past? So all of this is central to the discussion we have today So I'm going to hand over to my colleague, Nats, to take it away from me Nats, over to you Thank you, thank you Isaac So I just wanted to remind about Requirements of the license, the most common license that we use now for media That we must give appropriate credit And one may argue that given this invisible link Where we suspect, expect people to somehow guess and know That all the information about the author is going to be provided on another website Or sometimes not, if you're talking about non-media Is, I would argue, not the appropriate credit to the authors So even if we, even though creative comments Explicitly say that our practice is legal But there are real issues with that that Isaac Referred to a bit We actually do not advertise, we lose a way to advertise Relicences, even though we argue, our project arguably rely on them We do not clearly mark non-free media In guiding people inside the articles Even can just take screenshots and be unaware That the pictures inside the articles Have different kind of licenses possible And authors Also, we ourselves do not set a good example Given credit that we use And we expect others to do that When we do not give the appropriate credit ourselves So the English Wikipedia has already discussed this in the past And their argument not to include image credits Because they are relevant to this discussion And you can find this link For example, one of the arguments was There is no need to clutter articles to this information Credit is already provided for the majority of images By linking them to the file description page Which includes authorship, licensing and more And that partially is true But again, we go back to this link being invisible And not clear Whereas we do clutter articles with templates Explaining to people that this or that text fragment Was taken from this or that source Even if that source is under a free license Or even in public domain And then it begs the question Why don't we have something like an information For the reader included in the article as a template That images used in this article are in public domain Or published under free license Or non-free media for use Useful educational purposes And this information you can get from the file description pages See if you click on each file themselves in the article Or maybe we should have them at least in the terms below Because other projects are not exclusive And the terms do mention that text is available There is no mentioning about the images used So we do not expect people to understand about the text fragments We do not expect people to just believe That the information is taken under free license or everything But we do expect people to somehow click on an invisible link And also believe that we are cluttering the text As articles If we just give a citation or mentioning Or explanation about the images So warning in the terms seems to be warranted Taking into account that we do that for the text But also we do mention about the text in the article itself Not only in the terms So it seems a proper citation, attribution For every image used also can be warranted We can easily have an article with 400 footnotes About every parcel of text information used And we would have all those sources We would have also general sources But we just want people to understand and read more Further reading And we still, with all of that, are going to have a template About text included being from a source under free license Or in public domain Because we do not expect people just to guess that And also we are going to have that mentioned on every page In terms used So we also already know that media helps articles And articles help promote media What I mean by that is that media files used in the article Do help reader to understand the article better Illustrations for particular portions of the article Articles Wikipedia are viewed by more people And they are going to be reused more And some media outlets are going to use those pictures In the prominently featured in the articles more If they want to illustrate some points So one of the other arguments The English Wikipedia has in that discussion Was maintaining this in article credits Would be a significant maintenance burden on other editors But there are ways to have it automated Let's talk about that And with this I'm going to give floor to Dominic To give us a bit of a background information And practical ways to automate this information Being shown in the articles based on his work Dominic Great, thanks so much And thanks for inviting me You can go to the next slide First I just want to talk a little bit about how I came to this issue So over the last two years I've been working with the Digital Public Library of America Which is the National Cultural Heritage Aggregator in the United States And since we launched our program in 2020 We've uploaded about 3 million files to Wikimedia Commons From over 200 individual contributing institutions Becoming the largest contributor to Wikimedia Commons Next slide And that's that you can find our category there on Commons We're doing this essentially just to provide our member Institutions a simple activity That they can easily be trained to perform Putting their images into Wikipedia articles For which the outcome can be easily measurable So this is an example of an image from the Indiana State Library in the United States That was uploaded by DPLA and as in a Wikipedia article In one case a single institution staff member Working to add images to over 100 articles Over the course of a few months generated 45 million page views for their institution Which is a huge impact Next slide In addition to the uploads themselves We actually contribute metadata in the form of structured data on Commons now So this is just showing what our uploads actually look like in practice So for every image we add about 10 or more Structured data statements to our uploads And you know we can do that because we have all the institutions descriptive metadata That's what we're using to do our uploads So we're uploading statements or we're adding Sorry We're adding statements like title creator copyright description All those sorts of things And this also has allowed us to regularly sync and update the metadata for all of our past uploads Whenever the institution makes changes to their data So it's not just a static snapshot of the uploads that as they looked like when we did them Next slide So just briefly, I just wanted to say that the success of our program at DPLA is really based on these two philosophies First we need to get institutions on board with participating and that means Tasks that busy professionals can perform successfully with minimal new skills necessary So if the cost to get involved is too high, they won't be interested And part of buy-in is that cultural institutions Want to know that we're going to be responsible stewards of their information And that means accurately reflecting the metadata that they invested their own expertise and intellectual labor in As well as actually attributing their institution for the work that they've done and the objects that they hold in their collection that we're uploading and displaying on Wikipedia The second part here is you know, once we have institutions that are interested in contributing to Wikimedia projects We want to make sure that they're actually successful and impactful in their participation And that's why we designed the program that we did with Where we've solved the problem centrally of doing bulk upload so the institutions don't have to figure that out And it's also built around these this idea of a small discrete easily trainable task of adding an image to an article Using visual editor and Tools on commons like crop tool I can train someone to do a task of adding an image to an article not writing articles on Wikipedia in a few minutes Next slide So so i'm coming to this With a goal of both improving the integrity of the data in Wikipedia, but also improving the usability of our image workflow for editors And I think with some of these with this proposal that we can do both of those things Next slide So I want to just talk a little bit about the landscape on English Wikipedia Here's I'm not going to be able to go over everything in detail, but here's a few links to some existing Proposals like Nat mentioned this is in The perennial proposals section in English Wikipedia, but just to show what what is the actual kind of most relevant policy This is the manual of style on the English Wikipedia which explicitly says Not to credit the image author or copyright holder in the article Unless relevant whatever that means it's unclear So next slide this contrasts pretty sharply with what especially cultural institutions and academic institutions are used to this is just Uh Taken from a book off my bookshelf, you know, this is what you would typically find in an academic work Where the The image itself that's a historical image is considered, you know informational content just like the text and is Sighted in the text as such Next slide so Next slide please Uh, so I can't go through all of these. I just wanted to give a few links, uh, or that people can look up um Oh, sorry if you can go back one um Just to give people a few seconds if they want to look this up, um But there's a few different, um Sorry, can you go back one slide now? there's a, uh A few different, uh places we have mock-ups on the wiki Um, that's fine. This time This is I might regret this but this is the one article I'm aware of in English Wikipedia that has an image citation in the form of a footnote, uh, so if you want to look at it live this It's also the the top link here that charles robinson, uh, rockwood uh, so hopefully nobody comes along and and removes that but, um This is if you would like to see a live demo, um, this is already possible in wikipedia to to accomplish this by using Uh, the the existing, um, ref tag and you can create ref Use the group Function to to group references. Uh, so as long as you use the citation inside of a caption in an uh an image right now and, um added a separate group for images There's nothing stopping anyone from from technically from doing this. Um, so Uh next slide, please This is just the the screenshot of that um So this is just showing, uh An article with an image the citation. There's a or the footnote there which goes to the the references section and There's a separate, uh group within the references section for images um Next slide, please What I want to also show is what we've been working on a dp la and what's been, uh, essentially enabled by the fact that we've added Structure data to all of our images and hopefully Would be increasingly possible through more adoption of structured data for all images in wikipedia commons um, this Uh, this is something that's possible right now only on commons in amaka um, but what what I created is this template you can go look at it live this template embed dp la on wikipedia commons um, but It's coded in such a way that as long as the template has only the file the name of the file as a parameter um, all of the the data for a caption Uh using, you know citation type information can be generated automatically all of these things that are in the caption in the screenshot here are uh Already in the structured data of the image the title the creator the institution it comes from um, you know the This is just a hypothetical, um Citation format it could be it could be formatted however you like but the idea here is that a user uh, could just by including the the uh image Um, have all the the data that they need necessary for a caption or citation Uh, just auto populated in the same way the user expects to be able to do that You know from When they're adding a citation in the text and just provide it's an ispm or something and then all the rest is auto populated um Next slide So we have some issues To make that technical part happen. Um, first is that that's not actually possible right now to do within English wikipedia for example Because structured data on commons is not Uh, can't be um pulled into other projects, uh Right now using, um, you know lua in the same way that wiki data Uh data can be pulled into other projects. So what we would expect to see someday is Um, that one structured data on commons Those statements can can travel to other wikis Then we could build templates like this that allow us to do that Right now. It's just a mock-up on on commons. Um, although What we could do is something like building a a gadget that Pulls it in in the same way that cytoid does and it's just static text rather than being dynamically generated from the wikipedia commons data Um, there would still be need to be some infrastructure built from that. Um, the other thing that would be Of course the most important part of it is actually support from the wikipedia community um, and uh so that if people started to just Start adding these willy-nilly that they wouldn't be getting reverted Um, but that's I think part of why we want to have these community discussions about it. Um So that that's it for me Oh, and also, yeah, if you're interested in learning a little more about the dpla projects and what we're working on with Structure data on commons Here's some links to our grants and thank you to the wikipedia foundation for funding them Thank you. Dominic. Sorry muted So overall, uh, what can be Done about this We can change how we do it after all it is our own practice So i'm here also going to give you a few uh mock-ups demos It's in ukrainian But you would be able to see that there is a picture in the first article Where we are prominently saying that this picture is A picture by and then the name of the author and also a license Or in a gallery it can also look like that and for some for some pictures It's really important for some articles to include not just like you know a lot of pictures But pictures that have meaning for the article may The outer experience or inner Appearance of the object and it's important then not only to have the picture included Randomly but have it included because it illustrates some points It can be also done through a list of illustrations Which I also showed like the upper one A list of illustrations used in the article It can also be done through references, uh, which was mentioned also in the chat And also it can be mentioned We is a tiny Visible link for photo credits Near pictures Like I mean if you don't want to go into that we can also think about that like including photo credits Which would link to the original file and I would Argue that that might be useful for some people because Some of the pictures on comments do not have actually one author somebody can you know change crop Do something and then only the file itself can show you all the contributors to the file So another argument in the same Wikipedia English Wikipedia discussion was that people can spam articles with you know including a lot of Images or their own images in attempt to use Wikipedia for free advertisement But Wikipedia is not an indiscriminate collection of information And editors need to include only those images that matter anyway This proposal does not change that and if anything it goes it makes people go an extra mile To prove that this specific media is needed So with that I'm going to pass the floor to asaf Thank you What I'd like to add to the previous speakers is to to re-emphasize the point That there are at least two separate issues here In our current practice and that is the missing license type And the missing attribution These are at least ostensibly separate issues and they are in principle separately solvable we could for example Add the license type the explicit mention of the license type While still side stepping all the issues related to the usernames Right for example one one argument that has been raised and was not mentioned here today yet Was that some people might have offensive usernames The mention of which in article may be distracting or offensive So for example Even though that the offensive username issue is also in principle solvable we can Completely sidestep it and still at least solve the problem of mentioning an individual piece of media's license license type So so i'm pointing out that these are in principle separately solvable And and like I said the offensive username argument for example is also solvable right we could Decide to have a just a media credits link under each image In other words making the link explicit rather than implicit on the image And and still hide the username or we could determine that there is some acceptable username policy right and either rename non-compliant usernames or include only acceptable usernames on page and hide unacceptable usernames Inside the link I'm just bringing it up as a sketch of an answer to make the point that we could solve this any number of ways I think the goal of this talk in this panel Is to convince people who are yet to be convinced that there is a problem And that to to encourage people to commit to solving it if we are Convinced of this and if we are committed to solving it we can go ahead and brainstorm the actual solutions Um, but what I'd like to Move the conversation forward to is This as has been mentioned this has been a perennial proposal It has been discussed in the past and we tend to discuss ourselves into exhaustion Seeking consensus and that's why this is a perennial proposal But I I suggest to you that we could cut through this exhaustion By running a well-designed experiment next slide please and I suggest to you that Yes, so so an experiment could actually help us get the evidence that For example, one of the claims is that this missing attribution is causing re-users To not properly attribute images and That would be easier to prove if we actually conduct some experiment and show that providing proper attribution Does in fact help re-users attribute So such an experiment can really help Determine whether and how much of a problem this is next slide please and I suggest to you that an experiment would help us make progress before The end times when we managed to convince absolutely everybody on all wikipedia's that this change can happen We could design an experiment and i'm not Pretending that we have already designed it work needs to be done to create a good valid experiment to test the hypothesis that changing our image-crediting Practices would be a good change and we could for example identify some limited scope Maybe a particular wiki project on a large wiki or maybe a small wiki or maybe just a set of articles On which we experiment We may even have natural experiments in such articles or pages where there's already been this Mockup, I don't know if it's a large enough sample or not But the point is we could create a sample and a control group of course And then implement explicit attribution and explicit licensing on those articles And then measure Several things we could measure the awareness of the licensing terms among the people reading the articles We could do that with a little invitation at the top of the articles To to fill out a form or a survey or something um And we can also try and measure the reuse of those images in the wild using an image search To to try and find out whether Those images in the in the sample group are in fact better attributed than images from the control group Again, this is just a sketch of an experiment and I think we would benefit from having you know professional researchers Co-design the experiment But my point is an experiment could help us break through the cycle of Is it a problem? Is it not a problem? Is there a solution to every edge case or not? An experiment can help us move forward and I'd like to encourage those of you who agree That this is a problem to join us in thinking about how to move forward with an experiment next slide So if you're interested in Thinking about it with us, please mention your interest in the talk page of our wikimania talk And we will get in touch with you and see how you can help with your community with your wiki project wherever you are Maybe you can help with mock-ups. Maybe you can help with translation And we will try and report about this Um Probably next year. Maybe next wikimania if we're able to actually run some kind of experiment Thank you Asaf So we have actually started later. So we don't have a chance now to Have a session. I've saved the chat and things that you discussed here So we would be able to follow up with you if we can find you if you can put your names in the Either pod we would be able to find you even if your real name does not correspond with your username and Also put here useful links at least links that are relatable to this Discussion and of course there would be a link to this presentation from our submission and from the either pod And I wanted to to say thank you in our full languages To for your time and for your Interesting ideas and the discussion points that you mentioned in the chat. Thank you And thank you to the speakers And the support team My name is joelle. I'm the lead event strategist here at the wikimedia foundation And this is the session the future of wikimania Let me just share my screen really quickly with y'all Everyone can see my screen Yes, wonderful. All right Welcome to this session Let me just introduce The topic here And remind everyone why we're here wikimania first of all is completely movement led And foundation supported. This is an event that has grown To what it is right now And so we want to empower communities over the whole world to be able to host wikimania While being supported fully by the foundation In case you didn't know in the past There has been a bidding system Where communities locations and world countries were able to place a bid This would then get reviewed by the wikimania steering committee And recommendation would then be made to host wikimania in any given location Especially in a post-covid world This bidding system is in need of a bit of a refresh We want to be able to Holistically look at risk That are associated with mass convenings like wikimania Especially since we're going back to in-person convenings after three years And we want to support communities with their locations of choice meaning We want to be able for our global and diverse community to make informed decisions Based off of data Where it's all where it's safe for a community to convene Wikimania is also a mass event So it's really important for us to have Different strategies in place different tactics in place to be able to look at locations holistically Of course the end goal here is to have an equitable regional rotation Of where wikimania is hosted anywhere in the world And for this I just want to highlight really quickly The work we have done with the whole ec app region So ec app the east south east asia and pacific region Where we've been working with With them really since 2019 Then we know 2020 got cancelled But we continued working with ec app all the way to to now and we'll continue to working with the ec app community as In case you've missed it the next location in next year will be singapore We've worked with the communities There to be able to as I said before assess risk holistically determine What are the countries that the communities want to host wikimania in and then Be able to look at the factors That would make it a safe convening for For our global and diverse communities We don't want to Overburden communities as has happened in the past That's why we won't I also want to remind everyone in the room that the foundation is here To support communities in order to host this mass convening So that's it for my bit. I'm going to introduce the moderator for our battle discussion today uh, winnie cabinti Winnie was part of the 2021 core organizing team for the very first virtual wikimania And currently is um the senior movement communication specialist for the african region Over to you winnie Thank you. Joelle and welcome and welcome back again everybody to This session where we get to have a conversation on what the future of wikimania looks like I don't know about you, but i'm really excited. I feel so thrilled to see that in 2023 We are going to be convening once again in person In singapore and as one of the members from singapore mentioned earlier during the announcement It's going to be one of the hottest wikimania. So I'm sure we are all looking forward to that So with me in studio that sounds good to see I have a seasoned um panel of three And i'm going to introduce them So first we have ana Ana was a member of the 2021 wikimania co-organizing team Also a seasoned wikimadian We have nangara nangara is a member of the wikimania steering committee And we have linda who is serving as a risk manager at the wikimedia foundation And what we are going to be having today as joelle has just introduced We are going to kick start a conversation that is going to help us solve two puzzles around the future of wikimania post at the covet pandemic and the puzzle one is If wikimania is going back to an in-person format We definitely need a way to determine and plan ahead for the next three years How are we going to continue To develop a plan around the regional rotation How are we going to be identifying this region? Bearing in mind the risk assessment that joelle just brought in and we're going to also be delving deeper into that risk assessment And now it's it's disrupting how regional regions were identified in past wikimania And puzzle two We're going to also be discussing It's one thing to come up with a region and regions are At broad they are big, but then how again we also narrow down to the specific country that will eventually host wikimania So this is a conversation that we want to have in this particular discussion As joelle has mentioned wikimania remains A movement led event with the support of the foundation And so we would like to have this discussion really as as engaging as possible So feel free to add your thoughts in the comments and in the etherpad The link will be shared on the chat. We want to hear all your sentiments around this conversation And once we also conclude this this session We are going to carry on with the same conversation in the networking space. So please join that space as well So to kick us off. I would like to invite Nangara to just weigh in on the first puzzle of you know, how how what are What are his thoughts on the regional rotation of wikimania moving forward over to you Nangara Thanks Feeney um It's an interesting question how we rotate through the week regions in an equitable way um, I think early on we had a process that um set a european city a north american city and then somewhere else across the globe and While that was great in the early years. I personally think it's not a sustainable way to build the community or to work in an equitable way across the community um I think the big thing that I really enjoyed about that early process was the bidding process um, I know i'm drifting into the second part of the puzzle here, but stretching out into Three years part of the bidding process gave us a two-year lead Into a wikimania which meant that the teams were able to build And do a lot of things I saw firsthand how that was working with 2020 And I also experienced how difficult it was to bring the first online wikimania in 2021 and how we had such a short lead in time um And that's a challenge that we need to face And along with it's challenge of how we bring these two elements together So I would love to hear what everybody's thoughts is now that they've experienced a couple of online wikimanias and for those that were fortunate enough beforehand to have Experienced in-person wikimanias Thanks, Winnie Thank you And I would also like to switch gears a bit and go to Linda Linda if you could also weigh in and share your thoughts. I also know that uh, you know the 20 21 wikimania in 2022 We also have quite a number of newcomers who are joining wikimania for the first time And to also make this conversation as inclusive as possible for them It will also be good to you know, set the scene for them to just understand How the past has been Why it's important for us to have this conversation Presently um as we look into the future. How does the risk? How was the risk assessment dynamic? Changed all this conversation about uh, the hosting of wikimania and how does The risk assessment that was done in the asia region. How does that change or rather? How does that make this in this conversation so important at this particular time? Thanks, Winnie I was very excited to um be asked to support the community by creating the risk assessment matrix And the community picked nine countries in the region And I built a risk assessment for them around uh criteria such as human rights lgbtq rights visas And so I I helped them assess Which countries they would like to choose and do the narrowing? So from the nine countries and and gongar will talk more about the actual process, but We were able to look objectively at what criteria would make a good First choice country and what criteria would make a good backup country And the advantage of looking out in time Allows us to have the most runway possible to mitigate any risks And I think it's it's interesting and important to distinguish two different kinds of risks The risk assessment matrix only looked at big picture risks so When we select a country such as Singapore That allows the community that is organizing in Singapore To now look at what we would call secondary manageable risks such as Do we have the ability to have? food items that are appropriate for uh different uh Different preferences and cultures and religions Do we have The ability to ensure we can accommodate all level of In-person Meetings that that accommodate people of different strengths So so that that narrowing just to get to the country Is is where I was honored to contribute And um, I'd really love to pass it back over to ngara to talk about what ecf Did with the information I'll I'll end by simply saying that I'm very much excited about using this process to support getting three years out A window that we can begin the planning and have a very robust event for you know every every um every year by getting all of the runway Possible to ensure that we can bring an event on on successfully Thanks Hi everybody, um, no, I wanted to to Relate to some questions that I'm reading on on the chat. Um about what I also consider one of the elephants in the room here um, that is that um this hybrid format or Having had to already to um virtual wikimanias Has opened up new opportunities. Uh for also for the community. Winnie has just said that um virtual wikimanias has held newcomers to to Participate right or be a more inclusive events Um, but also I think that the pandemic has changed the community somehow And there are a lot of community members or we are more committed to the planet right as a community We are more committed Um to planet to so traveling is not going to be an option for many people And how do we keep ensuring that people wants to participate or are able to participate? And how we are going to be adapt to this situation in the future. So I think this is also um A question that we have to um to Yeah to address or or at least I wanted to to put it here because um, I'm reading it a lot in the chat so Now I pass it to linda or to nangara I'll just I'll just mention that you you brought up a great Point and one of the things that we assess in in the risk assessment Is the strength of the the wi-fi The internet backbone Because to continue to do hybrid events which is more inclusive And enables people to travel or join From wherever they choose to in the world It it means that the internet backbone and our ability to connect Becomes very critical as well. So I think That's going forward a really great Perspective to keep in mind for assessing What are good good and better choices Back over to you Gideon Yeah, okay, I'll wind back a little bit with linda's question about how we came to singapore um We spent a lot of time talking with the community We identified countries within the ecf region that were accessible had communities And Had the facilities necessary to actually host An event as big as a wick of mania could be And they included the online You know how good with internet connections Do we have venues all of those things? We discussed we came down as a community to nine countries to choose from And then from there we took I had another discussion with linda online and we decided that From those nine countries and then this risk assessment we identified To possibly the third country That we could look at as viable destinations And then we then went back to the community and How to discussion on meta and let everyone express their opinion as to Which of the two most viable countries We were going to go to and The decision was singapore so And it wasn't a pure vote it was Based on the numbers But also on the arguments people were putting forward Information coming from community members in those countries As to how engage they want to be in the process Winnie Thank you. And nangara I also want to acknowledge The comments that are coming in On the chart and I know this And I know there's a lot of concern around Um Whether by going back to an in-person wiki mania. We are totally doing a way with um, you know hybrid version or other The opportunity for people to meet virtually Absolutely not and i'm also very aware that this is a conversation that the wiki mania steering committee Is already having definitely the future of wiki mania cannot be the same and that's why we are having this conversation so Just because people are going to an in-person wiki mania doesn't mean that we will always meet in person and that's all So that's why we are having this conversation To see how that future looks like and what we would like to see more so feel free to Add in your your sentiments And now maybe we can even give the audience the opportunity to ask any questions That you might have or rather even share Any recommendations that you might have so feel free to Even raise your hand and you'll be given an opportunity to speak Just acknowledging some of the comments we've seen in the chat Uh where mic peels is it sounds like the lessons from last few years are being lost Why do we even have an in-person single location event? I think that was just addressed by winnie or We have to have an in-person event that can be hybrid and enable access for those who can't travel Again, that's also been addressed Andrew lee who is also part of the wiki mania steering committee says His opinion even though he's on the steering committee equitable stuff to determine Ultimately, it has to make sense as a hub city for logistics and that includes visas cost sustainability, etc Then the elephant in the room of sustainability being Raised how can we justify climate costs of these big events? Which are almost always exclusionary to some with comedians depending on where they are held Mike is saying Oh, we are addressed that Uh, but it's also saying that lots of other events have found the same thing online is much easier for people who access Particularly if they can't afford Uh travel and is also suggesting maybe we should fork wiki mania Forking meaning having one that's in person for those that like that and when that's a hundred percent online Or for those that can't travel. I think that's Been addressed with the hybrid Uh comment just now Uh Again, I would like to invite anyone from the audience to Raise your hand Unmute if you kind of like want to share and contribute here If not, please drop it in the chat Sorry Joel can I just Jump in on Mike's question about hybrid. I think it's One of the things we need to work on Um, I think both platforms We have used have had their own unique issues And they've had their own unique successes. So Um, I think over time we will be able to develop that a lot better There's still a lot of value in the personal connections that being in the same room able to Chat to someone passing in a hallway That we haven't resolved with the online. Um, I think that's one of the values of being in person uh, and Well hub is great and Um, we need to be careful how we determine that because There are a lot of places which are Physically isolated There is no way for you to get to an in-person event without getting in an aeroplane in some kind You know, um, not everywhere has interconnecting Rail links that you can get in them You know a couple of hours later you're Yeah in another country For some people Flight is the only option Singapore we have some rail links if you're coming from Thailand Malaysia you can come down by rail Indonesia there are ferry links, but for everyone else It's basically don't have to be a fly in so Yes, how carbon footprint is going to be an issue and we need to find ways To do it better and perhaps there's the opportunity to mirror it with a second or third sitting and um Literally be around the clock so that Singapore hands off to somewhere else And somewhere else hands off to a third city and then it's Hand it back to Singapore when it goes live so that we can get Both the in-person experiences and connections as well as those um Reach out to those that can't get 20 of them Thank you, Nangara. Um, and I also do want us to You know lose sight of the two puzzles that we still need to be solving around How do we identify? The regions that will host future wikimanias and how do we narrow down to the specific country So if we if someone has any thoughts around that we will be happy to hear that Even as we acknowledge them The suggestions to ensure that future wikimanias are hybrid events I think that Lisa addressed that pretty well. I think that the work that has been done regarding um, or with this risk assessment, um, it's a A huge change. This is something that didn't happen before and I think it's it's a good practice um beyond those criteria that linda linda Share with us before um, I would also suggest for example to analyze the quality of health care, for example in a country, I mean, uh That's um, does it have a good private or private or public health care, right the system to to That will take care of us if something happens if any problem arise or Again, I think economy is uh because I'm reading also the chat is also a huge issue, right? I mean wikimanias is almost a privilege for a lot of volunteers But also when being in wikimanias even me being a privileged person that can go to wikimanias sometimes cities are super expensive for a lot of us like um, I don't know going for To have a dinner outside the the facilities or the venue sometimes is super super expensive for us. So also paying attention to that For me, it's also important And um, of course how attractive it is. I mean again the pandemic has changed us a lot as a community and and Dedicating our holidays free time to go to wikimanias at least um, again, it should be like Attractive for for for the community. I mean the community wants Really needs to to want to go to to to that place And there are other criteria that I feel super important when narrowing um, the countries or or the region for example That is already already said like human rights, right? It's it's a country that respects human rights or the the level of connectivity um Or the community how much community is in place for example is the committee big enough to lead a an event of these characteristics and not burn out because I I mean I've been in the in the movement for the last years nine years almost and I've heard a lot of stories of committees Also getting very very tired after Organizing an event of these characteristics. So, um, and also how to get there beyond the visa That the country has an international airport and allow us The volunteers to arrive in an easy way and not Stoping over hundreds of airports around the world Also, this is something that I will take into account. So Um, again big changes from the from the past I think that having a risk assessment is super important and I'm happy to see it But I will come I mean probably listen those better than me But I will complete it with this other criteria that From a community perspective are also important Thank you, Anna for those great insights. I want to acknowledge a comment. I've seen on the chat From Rebecca and she talks about Someone let me get that Yeah, she talks about, you know, I would like to advocate if you have to go back to in person Why not go back to the italian model? Where we came and brought an infrastructure role or other benefits to the local community Rebecca, um Would you like to verbalize that comment and just comment further on it? So that uh anyone who is watching this and has no idea what that model is can can can can we can be on the same page Can do probably can you hear me? Yes, Rebecca. Can go ahead Fantastic, probably best that you don't see me uh on a sunday sunday afternoon while Ireland is experiencing a heat wave Um, which would make most people here laugh at the temperatures that we're experiencing. Um I suppose for me, um, and I didn't attend. Um, I've ever attended two wikimanias one which was london Which was exceptionally large and one which was mexico, which was that bit smaller Theor after so I didn't actually attend the italian um wikimania, but the fundamental idea behind it which was to bring it to a rural area and actually as part of I suppose somewhat taking the playbook of the olympics, which of course Um, it doesn't actually necessarily always play out But the idea that you bring wikimania to an area that necessarily doesn't have the infrastructure That isn't known for you know being an overly connected Area and the idea is that by bringing it to there you are investing in the infrastructure of that place um, so I know I saw comment from lean wyatt who's in Um, senile area at the moment and his his phone automatically connected to the wi-fi because it's still there Um, you know, I don't know if a lot of the wikimanias can say that they brought that sort of lasting legacy To the host country or the host place um in the way that it happened There and also just as an attendee While you might travel in my case for the first time to mexico. I saw relatively little mexico outside of a rather high-end Hotel which is probably not indicative of the actual country um And while yes in person is fantastic. I would just like to reiterate that not all people Um flourish in person A lot of people find crowds and be in a hotel with strangers and especially When you have to share a room with a stranger somebody that you perhaps have never met before Has been kind of common in wikimanias and conferences in the past that can be incredibly difficult Uh for people with for a range of reasons. Um, so I think the puzzle won the fact that by default we're saying that in person is a good thing And that's what we should aspire to I'd like to know what's the concrete rationale behind that Um before we take that as the the de facto jumping off point Thank you, rebecca I understand that uh, you know, this conversation is also getting very Um active on the etherpad and as I mentioned earlier because we also don't have much time on this session We will carry on the conversation in the networking space But for now one of the other things that I would like us also before we run out of time to discuss is um Once we have a region for the next wikimanias like when they when we have any if or let me just say if We have an in person wikimanias because um, I don't want it to look like they are also concerns on the chart Like if it's decided you're going to have in person So yes once a region has been identified For a potential in person wikimanias How again do we narrow down on the countries? Do we still go back to the bidding system and ask countries in that region to bid to host? How do we see this playing out in the event that there's an in person wikimanias? My great panelists feel free to weigh in on that And anyone else from the audience as well I've got to say I've done a few bids never been successful, but I've always found it an interesting challenge And a learning experience to put one together um I know it draws a lot of resources out of the community Puts a lot of pressure on people early on to Find and get answers. I like the way we went about 2023 which was we decided on the region between the community we selected the country's most capable of hosting the event and then we went The foundation will win the primarily went with the whole series of questions It was health care. It was human rights. It was legal systems. It was accessibility visas All of those things Were part of that matrix to make up To help us make that final decision of which countries and then we took it back to the community again to decide to decide their final choice and I think that process works well um for the next 24 25 I think is probably a good process to hold on to while we work with integrating hybrid and second and third party locations um, and then from 26 onwards we look more at how We can keep restructuring and addressing the issues um, the I still fully addressed and that is the climate issues The fact that we can't get to a lot of places easily um, that there are isolated communities and We don't want to go back into that repetition of Everyone having to go back to the same type of place at the time So So just to jump in very quickly because I know we've only got a couple of minutes left of the session. I think um the uh rotation policy that we came up with Was based on the tension between the communities at the time And that's why we ended up with a once in north europe You know, whatever south europe once in north america once not in either of those two And at the time we got a huge amount of complaints from people in north america and europe Of why were we wasting all this time going to communities that had very small numbers of members of the community Part of the purpose of wikimania is to reach out to new people and bring them in the door and An online conference is very good at getting raw numbers of people but it's um, not necessarily very good at building that empathy between people and so Wikimania at its best has always been a hybrid event right right from 2005 We were streaming that wasn't much of a feedback loop and that's that varied But it's always been a hybrid event and we should uh aim to do better and keep keep the hybrid model That involves as many people around the world as possible Yes, I mean Sorry, um to that um I think that nobody uh at least in my particular case i'm not I mean, I see the the benefits of uh a face-to-face meeting. I think that we really need to to meet um because in the wikimedia movement meeting means As I was reading in the chat, right? I mean reaching I don't know building new partnerships. I mean understanding what the the other community members are doing around the world so for me that's super important, but um We need to to make us the hybrid model or the virtual part of the conference as good as the the face-to-face part of the conference. I mean the Yeah, the level should be the same like like the quality of the conference should be the Should be the same or least also make sure that the people who decide not to go or Decide to stay at home and and prefers to follow wikimedia in a virtual way Also enjoys the conference um as much as possible Yes, definitely, we've got to work on the hybrid process make sure we have those feedback loops Like we've got here now everyone Able to discuss whether they're in the room Sitting in Europe or sitting in Africa or Sitting over here in Australia. It doesn't really matter where people are Um that feedback loop is important those personal connections as I said the Chance meetings the discussions in hallways Even the random chance of sitting at a conference with seven rooms running Um, I'll go back to my experience in washington in 2012 um I had blank afternoon and walked into a Discussion and from there. I was had a new project idea And concept to work with and that was the wiki town. So That was 2012 2014. I brought it Back to wikimedia to share my experiences and to encourage more people to use it. So there is feedback loops within the in-person event that are Equally is important. So I think we need to try and gain as many loops and as much feedback as we can Great. Thank you. Um, this is getting exciting. There's a lot of feedback coming in Please let's all meet in the networking space to carry on and I do acknowledge there's a lot of you know Comments to have to ensure that we have a hybrid event and not necessarily Just an in-person event so inclusivity remains key in the future of wikimedia and yeah, we we we continue to To be open to conversations around innovating for wikimedia to make it as inclusive and as accessible as possible Thank you very much for your great insights. Please carry on on the etherpad and let's meet in the networking space Thank you very much Welcome to wikimedia 2022 And welcome to esinolario and welcome back to esinolario We are in front of the museum de le grigne one of the venue of wikimedia 2016 but also the venue of this festival edition Today what we wanted to do is to show you how esinolario changed in the last six years But also allow you to visit our museum where you can you where you will find the new Museum design focused on wikimedia and also the legacy of this event So a lot of things changed in esinolario in the last six years six years for wikimedia we created and we installed Spaces that allowed the conference to take place in a little mountain village. So the museum was reorganized We moved from the old museum the All the collection to the new museum. This is the building The room that you can see in the back was closed for the event, but also we changed a lot of other venues Clotilde which is here in the garden Was transformed was improved for safety for equipment. The primary school had better access for wheelchairs the sport hall Was created a safety exit for the sport hall to allow an increased number of participants to use the space And the old museum become a space for association in esinolario the connectivity was improved for wikimedia 2016 and people are surprised to come back here in esinolario and to find that the wi-fi and the password still work So all the venues that are used for public interest are still nicely connected And we can use the internet and facilitate the work online of all participants Another aspect that was improved. Thanks to wikimedia Is also the participation and the mapping of the village So on open street map you can find an extremely detailed um number of information about the territory You can find on wikipedia on the wikimedia project on wikidata Lots of information about the venue and also esinolario had promoted the involvement of the entire region In improving knowledge about heritage online So wikimedia 2016 was a incredible chance to boost and to evolve a community in improving Spaces connectivity the capacity of the village to be Contemporary and to be linked to technology and to wikipedia which obviously represents Chair knowledge and knowledge for all The museum of the greener is almost a hundred years old, but it doesn't look like it It owes a lot to wikimedia, of course But not only because even before the event We decided to publish all the books with open license. That is for example CC by SA and books such as the newborn or previous studies about the territory wikimedia was a great event for esino it was quite extraordinary and it is recalled with pleasure The museum has decided to have a section about wikimania, just like we have one about the fossils or the Celts Because it is now part of the history of the village It left a great legacy We have learned the importance of new languages and of technology And the pupils of the village have learned to contribute to wikidia, which is quite a good start Esino lario seems to be highly isolated actually in the middle of nowhere And when wikipadians came in 2016 some of them complained and said that the journey was quite long What they should know is that if they had come about a hundred years ago They would have been invited to sit on this ledge and would have been taken to esino with a couple of mules Soon after the event, the whole installation of the museum was renewed All the captions were changed Made more friendly even though highly scientific This was tailored to the young and the old To the experts and the curious ones In 2017, just a year after wikimania We decided to organize Storytelling for children that is a series of tablets on which every child can choose a character For example, in this case, we have Erika the wikipadian who takes the kids through all the Sections of the museum and makes them discover the story of the area with games and quizzes This is a way to develop their curiosity and also their independence In 2018 we decided to complete the section about the 1000 and more caves of the greener But that screen you can see actually shows the geological areas Everything about the formation of the mountains and allows you to visit the inside of one of the caves of the area It also shows the sea creatures that inhabited the area about 250 million years ago Which leads us to the section of the fossils, which is one of the important collections of the museum Voluntary research carried out by university students has been Encouraged to and has produced studies such as iron inesino at the time of the Celts Which confirmed the local production of all the weapons on display Visitors want to touch the items. It is not always possible therefore we have asked to produce copies of the former weapons in this case it is an iron sword with its shield Some more technology and arts in this case The tree of the community which we call the talking tree tells the story of life in the past through the voices of the elders of the village who talked about life in the past the roads the woods The work they had to do and all this Is to keep the memory of life in the past The museum has a new project which is called in and out in the heart of the greener Actually, it aims at bringing the museum into the greener into the mountain And the mountain into the museum If you come next year, you will have the pleasure of seeing the new project Okay, the asino salute the asinolario and thank you for tutto Ciao! Welcome back to asinolario We are right now in the museum with some of the participants We had some some wikipedia joining us for this event And also we had the pleasure of using the chance of wikimania online To invite people to remember The event in asinolario It was a pleasure for the community in asinolario It was a great adventure wikimania in 2016 As we show you the entire village transform itself to host the event It was complex, but it was also a great legacy It was an opportunity to bring technology bring the world to a small mountain village And also to make sure that The museum will inherit this legacy Make sure that what we do also in the future take advantage of this edit pattern We already know in in our communities online I think change is a muscle We need to keep Change in exercise So we need to make sure that We don't lose what we change in the past So the fact of having this chance of coming back to asinolario And recall the event Making sure that Also All the Changes have been recorded And that we keep the memory going and that we keep the community also linked to the international community I think is very important and we would like to keep it going in the future wikimania is an event is our community event, but it's also An opportunity in many other ways All the infrastructure change that were made in asinolario were actually financed by local brands and by volunteer work It was an opportunity the fact of gaining this visibility But it was also an effort that the community did To take advantage of it And I really hope that this is a legacy that all wikimania in the future can take So not only hosting a beautiful event Not only hosting interesting conferences and exchanges and meetings and opportunities for us to work together But also making sure that what we bring to communities to countries is something that can remain with us So i'm very glad that we had this opportunity to Recall this adventure to bring it back to asinolario this year again to have also the pleasure to gather So thanks for this opportunity and we will meet soon Next year for another wikimania Welcome to the session on the wikiford human rights 2022 campaign. I'm alex stenson. I'm hiding behind the slides I'm a lead program strategist at the wikimedia foundation And we're going to be talking about how we've been using the wikiford human rights campaign to experiment on the movement strategy Topics for impact organizing focus Most of the presentation is going to be from this year's partner in crime ruby dementia brown Who was our senior organizing fellow? As part of this year's campaign and she did a really wonderful job being lajard and soul of the community Organizing for this campaign and really making it work. Um, so i'm so proud to have her presenting here today Um, we're gonna this is the rough outline of what we're going to talk about We're going to talk about what we learned and that's ruby Is going to focus on and then we have some voices from different communities that participate in the campaign And we want to give them space to kind of reflect on their experience And then i'm going to give some updates on what we'll be doing for topics through impact organizing and other training activities throughout the year So without me talking too much I want to hand you over to ruby who's like i said done a wonderful uh around the work Uh this year to make it happen Okay, thank you so much alex. Um As alex said my name is ruby dameshy brown I'm from Ghana and I was the fellow for the wikiford human rights campaign this year And i must say that it's been a wonderful experience I'm here to talk to you about what the campaign is about What we achieve and then my business experience then we have other panels to share their Um experience as well. So what is the wikiford human rights campaign all about? Um, I think we're pretty moved to the usm yet. What is the wikiford human rights campaign all about? so What we aim to achieve with this campaign is to be able to Document stories and content to make sure that everyone everywhere have access to neutral fatigues um current information about our right to a healthy environment especially in this day and age where environmental issues Um have gained that much significant attention and this campaign was uh as a result of a partnership between the wikimedia foundation and the united nations Human rights council. We also had support from unicef and then the un environmental program So what were some of the topics that we focused on this year? So the topics that was our focus this year was the triple planetary crisis And in that we're talking about climate change. We're talking about pollution. We're talking about biodiversity rocks and these were some of the stories and and and things that we wanted people to document and then write articles about and also um Advocate because it's not only about writing articles But to also create that kind of awareness bring people's attention to these kind of topics, especially um in our movement where we're talking about topic of impact So what did we add team in this year's campaign? What were the results? It's intriguing that we had we saw that increased participation this year, especially from the global south We had communities embrace this campaign and did wonderful activities We're so excited. We're so proud of everyone who participated and supported the campaign um, we had more than 700 participants um Participated one way or the other from different continents and we are talking about Across five continents in the world, which is so amazing. And when we talk about contribution We had more than five thousand four thousand articles being created. There was so much articles that were created We just had to we didn't even know how to calculate it, but We we we can say that we had more than four thousand articles this year around the topics And then we also saw More than 40 community events and these events you run from webinars. It is a tons workshops photo walks Dlamas and it's exciting to see people come together to talk about environment to document stories about our environment and we're so proud of our Local and regional organizers who also supported us took the message to the grassroots Because we wanted to get to the grassroots level and so we Worked with local Regional organizers willing to give you confidence to get the message to the people and the grassroots Next slide Next slide So what exactly did I learn and this is what uh, I'm going to share with you I learned so much this campaign was really really Enlightening next slide please This new campaign was really really enlightening For me personally, I learned so much. I gained a lot of skills it increased my connection But I want to share a story that really Intrigued me about what I I learned from this campaign So when I got the role as a fellow for the wiki for human rights, it then dawned on me like Oh my god, I'm not even an expert in the environment. What am I like? How am I going to do with this? but this opportunity being a fellow and Going and handling or coordinating this campaign has helped me understand that we don't have to be And expect in an environmental topic to be able to Um participate in this campaign. You don't have to be it's about how you connect it to your story How you connect it to your field of interest because whether or not we like it Our environment is where we leave and if our environment is not thriving well It's affect whatever that you're doing Irrespective of what your interest is it's going to it's going to affect you So how do you connect that story to how do you connect the environmental topic to the to your own story or to your Personal interest and I personally I was interested more in women women empowerment and all that so I've many being organized in campaigns in different areas and especially I love to work on women topics and all that but when I came To be a fellow at the wiki media foundation organizing the wiki for human right I began to read stories Honestly, I've not really paid much attention to the environmental field But when I began to read stories, I realized how connected our environment is to women And so I began to connect the story for instance if you come to our part of the world whenever there's drought and um There's no water women suffer a lot and that's where I began to see the reality of the thing when I began to connect environment where I am and and Things that happen around women women suffer a lot because women are seen as people who take care of people who need to um get Food and so if there's no water who has to get the water Of course you the women have to get the water and so you see women travel far Just so that they get water and then for that activity time is lost. It impacts their health Because these are the issues that we're talking and they are a lot more They are a lot more stories that we can explore So like I said, it's about how you connect The environmental story to your own story and that's how you begin to appreciate The gap that we are talking about because One they're they're a lot of gap. You might think that oh, this is for environmentalists or this is for an expecting Some kind of abstract things that you don't understand. No just connected to your story and then you're good to go And then I also realized that This has a great potential to draw the youth especially Bringing that kind of system ability and partnership Into the movement We are in a day and age where environment has become. I mean our environment is in crisis and everyone is talking about it Everyone is trying to find solutions to solve our environmental issue and the youth are embracing these topics so much And so this is a very great opportunity to sort of connect to partners Connect to the youth to bring them in to help them understand that this is also a space where they can also Try to bridge the knowledge gap because these are youth who are interested in environmental issues already They're interested in sustainability issues already. So how do they direct that passion Into wikipedia projects? How did they direct that passion? In bridging the knowledge gap and this is what we are talking about and one of such partnerships that I personally witness in my country Ghana is when local organizers Have this wiki wiki green conference where they've brought a lot of people in the tech space a lot of organizations like internet Governors internet society Dairy foundation and so on and so for the whole lot of organization and that attracted a lot of youth to attend this conference And maybe amaze this was the first time they even actually Learned that they could contribute to wikipedia and and you'd be you you might think that people already know about wikipedia And so they know that they're supposed to contribute. No, not everyone know that so this was a very great opportunity Bringing people who already have that passion And trying to help them appreciate that they can direct some of that passion into bridging this knowledge gap because knowledge is power If you're able to empower these youth to document in local language To help many more people to even understand what we are talking about and and also another partnership that Helped us to break Build capacity and build skills was the climate change editor tone which we organized with open foundation in West Africa and climate also