Several attempts have been made recently to create computational methods for identifying content among the vast number of social media postings; nevertheless, the majority of these efforts focus on English-language information. Studies on low-resource languages, such as those spoken in South Asia, have just lately begun to take notice. The goal of the current article is to provide a thorough and in-depth overview of studies on hate speech in South Asian languages. There is discussion of the varying definitions and terminology used to describe hate speech on various social media sites. A detailed examination is conducted of the various tasks, accessible datasets, and widely used computational techniques in the South-Asian languages. The main trends found and their applications are examined, as well as the difficulties and possibilities for more study in the field.https://dl.acm.org/doi/10.1145/3711710Share this:FacebookXLike this:Like Loading... Post navigation Automated Detection of Hate Speech and the Challenges of Offensive Language (SSRN) Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster (ACL Anthology)