About this document
Multilingual Hate Speech Dataset Analysis by fotinie is a document available to read on EtoBox.
This paper introduces a new multilingual multi-aspect hate speech analysis dataset that includes around 13,000 tweets in English, French, and Arabic, aiming to enhance the detection and classification of hate speech across different languages. The authors emphasize the importance of a multi-aspect annotation schema to capture various dimensions of hate speech, including directness, offensiveness, and the targeted group. The dataset and code are made available to the research community to further advance mul
- Author
- fotinie
- Language
- EN