Paper ID: 2402.08764

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.

Submitted: Feb 13, 2024