“Social platforms such as Gab and Parler, branded as ‘free-speech’ networks, have seen a significant growth of their user base in recent years. This popularity is mainly attributed to the stricter moderation enforced by mainstream platforms such as Twitter, Facebook, and Reddit.In this work we provide the first large scale analysis of hate-speech on Parler. We experiment with an array of algorithms for hate-speech detection, demonstrating limitations of transfer learning in that domain, given the illusive and ever changing nature of the ways hate-speech is delivered. In order to improve classification accuracy we annotated 10K Parler posts, which we use to fine-tune a BERT classifier.”https://aclanthology.org/2022.woah-1.11/Share this:FacebookXLike this:Like Loading... Post navigation Extreme Temperature Shifts Trigger an Increase in Hate Speech (Medscape) Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques (International Journal of Information Management Data Insights)