April 30, 2024, 4:50 a.m. | Manuel Tonneau, Diyi Liu, Samuel Fraiberger, Ralph Schroeder, Scott A. Hale, Paul R\"ottger

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.17874v1 Announce Type: new
Abstract: Perceptions of hate can vary greatly across cultural contexts. Hate speech (HS) datasets, however, have traditionally been developed by language. This hides potential cultural biases, as one language may be spoken in different countries home to different cultures. In this work, we evaluate cultural bias in HS datasets by leveraging two interrelated cultural proxies: language and geography. We conduct a systematic survey of HS datasets in eight languages and confirm past findings on their English-language …

abstract arxiv bias biases cs.cl datasets hate speech home however language languages speech spoken type work

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