A Dataset for the Detection of Dehumanizing Language
Paul Engelmann Peter Brunsgaard Trolle Christian Hardmeier
Dehumanization is a mental process that enables the exclusion and ill
treatment of a group of people. In this paper, we present two data sets of
dehumanizing text, a large, automatically collected corpus and a smaller,
manually annotated data set. Both data sets include a combination of political
discourse and dialogue from movie subtitles. Our methods give us a broad and
varied amount of dehumanization data to work with, enabling further exploratory
analysis and automatic classification of dehumanization patterns. Both data
sets will be publicly released.