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/10.1145/3711710 Share this: Click to print (Opens in new window) Print Click to share on Facebook (Opens in new window) Facebook Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Like 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)