A Dataset for the Detection of Dehumanizing Language
<|reference_start|>A Dataset for the Detection of Dehumanizing 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.<|reference_end|>
@article{engelmann2024a,
    title={A Dataset for the Detection of Dehumanizing Language},
    author={Paul Engelmann, Peter Brunsgaard Trolle, Christian Hardmeier},
    journal={arXiv preprint arXiv:2402.08764},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.08764},
    primaryClass={cs.CL}
}