Gender bias detection on hate speech classification: an analysis at feature-level
Francimaria R. S. Nascimento,
George D. C. Cavalcanti,
Marjory Da Costa-Abreu
Abstract:Hate speech is a growing problem on social media due to the larger volume of content being shared. Recent works demonstrated the usefulness of distinct machine learning algorithms combined with natural language processing techniques to detect hateful content. However, when not constructed with the necessary care, learning models can magnify discriminatory behaviour and lead the model to incorrectly associate comments with specific identity terms (e.g., woman, black, and gay) with a particular class, such as ha… Show more
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