Hate Speech Detection:A Survey

Social media has been continuously acting as a medium for people to share and convey their emotions and information. At the same time, it has been observed that people utilize social media platforms like Facebook, Twitter, etc. to post offensive and hateful content. This happens on a large scale which makes it extremely challenging to monitor them manually, paving way for automation in hate speech. This survey paper explores, summarises, and compares various methods that target hate speech detection, how they are being utilized at solving past challenges, and dive into the current and future prospects for hate speech detection.