DOI: 10.29007/1cm6
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Combating Hate: How Multilingual Transformers Can Help Detect Topical Hate Speech

Trishanta Srikissoon,
Vukosi Marivate

Abstract: Automated hate speech detection is important to protecting people’s dignity, online experiences, and physical safety in Society 5.0. Transformers are sophisticated pre- trained language models that can be fine-tuned for multilingual hate speech detection. Many studies consider this application as a binary classification problem. Additionally, research on topical hate speech detection use target-specific datasets containing assertions about a particular group. In this paper we investigate multi-class hate speec… Show more

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