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arXiv · 2502.07637

BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish

Kätriin Kukk·Danila Petrelli·Judit Casademont·Eric J. W. Orlowski·Michał Dzieliński·Maria Jacobson
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Abstract

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.

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Kätriin Kukk, Danila Petrelli, Judit Casademont, Eric J. W. Orlowski, Michał Dzieliński, Maria Jacobson. 2025-02-11. BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish. https://arxiv.org/abs/2502.07637

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