“Many languages have made many efforts to find automated solutions for detecting abusive language and cyberbullying, but not much for the Arabic language. This work analyzes 27 studies on automatic Arabic abusive language and cyberbullying and its related detection approaches. The goal of this paper is to review the findings of the previous studies about cyberbullying and abusive detection in Arabic content on online social networks and help researcher in the future to develop automatic detection systems that are effective and realistic.”https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050921X00129/1-s2.0-S1877050921011959/main.pdfShare this:FacebookXLike this:Like Loading... Post navigation Using Transfer-based Language Models to Detect Hateful and Offensive Language Online (Proceedings of the Fourth Workshop on Online Abuse and Harms) Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (arXiv)