BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915146213883904 |
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| author | Kukk, Kätriin Petrelli, Danila Casademont, Judit Orlowski, Eric J. W. Dzieliński, Michał Jacobson, Maria |
| author_facet | Kukk, Kätriin Petrelli, Danila Casademont, Judit Orlowski, Eric J. W. Dzieliński, Michał Jacobson, Maria |
| contents | In this study, we introduce the process for creating BiaSWE, an expert-annotated dataset tailored for misogyny detection in the Swedish language. To address the cultural and linguistic specificity of misogyny in Swedish, we collaborated with experts from the social sciences and humanities. Our interdisciplinary team developed a rigorous annotation process, incorporating both domain knowledge and language expertise, to capture the nuances of misogyny in a Swedish context. This methodology ensures that the dataset is not only culturally relevant but also aligned with broader efforts in bias detection for low-resource languages. The dataset, along with the annotation guidelines, is publicly available for further research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_07637 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish Kukk, Kätriin Petrelli, Danila Casademont, Judit Orlowski, Eric J. W. Dzieliński, Michał Jacobson, Maria Computation and Language In this study, we introduce the process for creating BiaSWE, an expert-annotated dataset tailored for misogyny detection in the Swedish language. To address the cultural and linguistic specificity of misogyny in Swedish, we collaborated with experts from the social sciences and humanities. Our interdisciplinary team developed a rigorous annotation process, incorporating both domain knowledge and language expertise, to capture the nuances of misogyny in a Swedish context. This methodology ensures that the dataset is not only culturally relevant but also aligned with broader efforts in bias detection for low-resource languages. The dataset, along with the annotation guidelines, is publicly available for further research. |
| title | BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2502.07637 |