Automate Lifelong Hate Speech Detection: Current Challenge In Cross-Domain Adaption

Abstract

Hate speech is a phenomenon which presents offensive content that people may find on social networking sites. Recognizing and reducing inappropriate content is critical for preventing and reducing hate speech. This article highlights the diversity of possible hate speech datasets and developed challenges in four domains by investigating 27 related papers in several trusted databases. The findings point to future system development directions to trace objectionable content transformations over time on various online social platforms and domains.