The majority of current hate speech analysis research focuses on single-task categorization and monolingual datasets. The scholars present a new multilingual, multi-aspect hate speech analysis dataset in this work and use it to evaluate the latest multilingual multitask learning methods. The authors test our dataset in several categorization contexts and investigate how our annotations might improve the identification and classification of hate speech. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5148442 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 Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization (arXiv) Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, February 2025 (II/II)