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A Survey on Hate Speech Detection using Natural Language Processing

Anna Schmidt,Michael Wiegand

2017 · DOI: 10.18653/v1/W17-1101
1,368 Citations

TLDR

A survey on hate speech detection describes key areas that have been explored to automatically recognize these types of utterances using natural language processing and discusses limits of those approaches.

Abstract

This paper presents a survey on hate speech detection. Given the steadily growing body of social media content, the amount of online hate speech is also increasing. Due to the massive scale of the web, methods that automatically detect hate speech are required. Our survey describes key areas that have been explored to automatically recognize these types of utterances using natural language processing. We also discuss limits of those approaches.