A Dataset for the Detection of Dehumanizing Language

Peter Brunsgaard Trolle, Christian Hardmeier, Paul Engelmann

Research output: Other contributionResearch

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
Original languageEnglish
Publication date2024
Number of pages7
DOIs
Publication statusPublished - 2024

Fingerprint

Dive into the research topics of 'A Dataset for the Detection of Dehumanizing Language'. Together they form a unique fingerprint.

Cite this