“This report is structured in two parts: in Part 1, we introduce and discuss the concept of bias indicators, including their uses, benefits, and risks. In Part 2, we present a general list of bias indicators (which might be used to code a hate motivated incident), followed by discrete lists of bias indicators for specific target identities. We also present a separate list for online bias indicators, which might apply to one or more target identities.”https://www.crisconsortium.org/news/bias-indicatorsShare this:FacebookXLike this:Like Loading... Post navigation Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques (International Journal of Information Management Data Insights) Using science and AI to track patterns of digital hate (Telekom)