A Dataset for the Detection of Dehumanizing Language

Fuente: arXiv
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Auteurs principaux: Engelmann, Paul, Trolle, Peter Brunsgaard, Hardmeier, Christian
Format: Preprint
Publié: 2024
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author Engelmann, Paul
Trolle, Peter Brunsgaard
Hardmeier, Christian
author_facet Engelmann, Paul
Trolle, Peter Brunsgaard
Hardmeier, Christian
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_08764
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Dataset for the Detection of Dehumanizing Language
Engelmann, Paul
Trolle, Peter Brunsgaard
Hardmeier, Christian
Computation and Language
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.
title A Dataset for the Detection of Dehumanizing Language
topic Computation and Language
url https://arxiv.org/abs/2402.08764