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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2402.08764 |
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| _version_ | 1866914677863219200 |
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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 |