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.
REF 's survey of hate speech detection describes various types of features used.
A Survey on Hate Speech Detection using Natural Language Processing
SocialNLP@EACL
Computer Science