An Investigation of Large Language Models for Real-World Hate Speech Detection (Papers with Code)
In this study, we conduct a large-scale study of hate speech detection, employing five established hate speech datasets. We discover…
Hate Speech Detection in Social Networks using Machine Learning and Deep Learning Methods (The Science and Information Organization)
Our findings reveal that deep learning techniques outperform shallow learning methods, with BiLSTM emerging as the most accurate model for…
(Resources…) Counterspeech (Dangerous Speech Project)
Continued study of counterspeech is essential, especially as censorship and takedown proliferate as methods of regulating online speech. Unlike those…
Free Resources on Countering Extremism and Hate Speech, December 2023 (II/II)
Browse and read from a list of the 160 most popular LinkedIn resources that deal with counter-extremism and countering hate…