“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-indicators Share this: Print (Opens in new window) Print Share on Facebook (Opens in new window) Facebook Share on LinkedIn (Opens in new window) LinkedIn Share on Reddit (Opens in new window) Reddit Share on WhatsApp (Opens in new window) WhatsApp Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Like 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)