Highly Generalizable Models for Multilingual Hate Speech Detection. (arXiv:2201.11294v1 [cs.CL])

Web: http://arxiv.org/abs/2201.11294

Hate speech detection has become an important research topic within the past
decade. More private corporations are needing to regulate user generated
content on different platforms across the globe. In this paper, we introduce a
study of multilingual hate speech classification. We compile a dataset of 11
languages and resolve different taxonomies by analyzing the combined data with
binary labels: hate speech or not hate speech. Defining hate speech in a single
way across different languages and datasets may erase …

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