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arXiv · 2506.16190

Web(er) of Hate: A Survey on How Hate Speech Is Typed

Luna Wang·Andrew Caines·Alice Hutchings
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Abstract

The curation of hate speech datasets involves complex design decisions that balance competing priorities. This paper critically examines these methodological choices in a diverse range of datasets, highlighting common themes and practices, and their implications for dataset reliability. Drawing on Max Weber's notion of ideal types, we argue for a reflexive approach in dataset creation, urging researchers to acknowledge their own value judgments during dataset construction, fostering transparency and methodological rigour.

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Luna Wang, Andrew Caines, Alice Hutchings. 2025-06-19. Web(er) of Hate: A Survey on How Hate Speech Is Typed. https://arxiv.org/abs/2506.16190

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