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Assessing the impact of contextual information in hate speech detection. (arXiv:2210.00465v2 [cs.CL] UPDATED)
Oct. 6, 2022, 1:16 a.m. | Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natali
cs.CL updates on arXiv.org arxiv.org
In recent years, hate speech has gained great relevance in social networks
and other virtual media because of its intensity and its relationship with
violent acts against members of protected groups. Due to the great amount of
content generated by users, great effort has been made in the research and
development of automatic tools to aid the analysis and moderation of this
speech, at least in its most threatening forms. One of the limitations of
current approaches to automatic hate …
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