<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Framing the Syrian Refugee Crisis: A Comparative Analysis of Arabic and English News Sources."
Abstract:"The mass exodus of millions of Syrians from their country due to worsening war conditions has become a serious global humanitarian crisis. As the number of displaced refugees rises, so does the number of those living in inhuman conditions. This content analysis examines how popular news discourses shape the geopolitics of the Syrian refugee crisis. We use framing theory to explore the main frames that emerged in a comparison of 10 Arabic news sources with seven English news sources in their coverage of the crisis. Based on a systematic random sample, 278 Arabic news stories and 210 English news stories were selected for further analysis. Qualitative data analysis software was used to code and analyze the content of news stories at the article and sentence levels. Four main frames emerged from the analysis: border, institutional, victim, and war frames. Although the border frame was popular across all news sources, English sources were more likely than Arabic sources to use the victim frame and less likely to use the war frame. Implications as well as directions for future research are discussed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

Framing the Syrian Refugee Crisis: A Comparative Analysis of Arabic and English News Sources
The mass exodus of millions of Syrians from their country due to worsening war conditions has become a serious global humanitarian crisis. As the number of displaced refugees rises, so does the number of those living in inhuman conditions. This content analysis examines how popular news discourses shape the geopolitics of the Syrian refugee crisis. We use framing theory to explore the main frames that emerged in a comparison of 10 Arabic news sources with seven English news sources in their coverage of the crisis. Based on a systematic random sample, 278 Arabic news stories and 210 English news stories were selected for further analysis. Qualitative data analysis software was used to code and analyze the content of news stories at the article and sentence levels. Four main frames emerged from the analysis: border, institutional, victim, and war frames. Although the border frame was popular across all news sources, English sources were more likely than Arabic sources to use the victim frame and less likely to use the war frame. Implications as well as directions for future research are discussed.