Racist and Sexist Hate Speech Detection: Literature Review

Abstract

Hate speech has always existed; yet, the widespread use of the Internet and social media platforms has led to the exponential rise and spread of hate speech creating a pressing need to make social media platforms a safe place for minority groups, while preserving the freedom of speech. Sexist and racist hate speech are two common forms of hate speech in social media platforms and for which researchers have introduced many detection models. This paper aims to provide a survey of sexist and racist hate speech detection approaches with a focus on three different aspects; namely, available datasets, features exploited, and machine learning models.

Topics & Concepts