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With the fast growth of mobile computing and Web technologies, offensivelanguage has become more prevalent on social networking platforms. Sinceoffensive language identification in local languages is essential to moderatethe social media content, in this paper we work with three Dravidian languages,namely Malayalam, Tamil, and Kannada, that are under-resourced. We present anevaluation task at FIRE 2020- HASOC-DravidianCodeMix and DravidianLangTech atEACL 2021, designed to provide a framework for comparing different approachesto this problem. This paper describes the data creation, defines the task,lists the participating systems, and discusses various methods.

Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages