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arXiv · 2402.08764

A Dataset for the Detection of Dehumanizing Language

Paul Engelmann·Peter Brunsgaard Trolle·Christian Hardmeier
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Abstract

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.

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Paul Engelmann, Peter Brunsgaard Trolle, Christian Hardmeier. 2024-02-13. A Dataset for the Detection of Dehumanizing Language. https://arxiv.org/abs/2402.08764

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