The world's largest structured repository of regionalized, multilingual hate speech
Hatebase was built to assist companies, government agencies, NGOs and research organizations moderate online conversations and potentially use hate speech as a predictor for regional violence. (Language-based classification, or symbolization, is one of a handful of quantifiable steps toward genocide.)
Pilotfish with eggplant: understanding how Hatebase detects hate speech in (near) real-time
When we relaunched Hatebase at the end of last year, we deployed not only a wealth of new data attributes (e.g. targeted groups, plurals, transliterations) and a new API (now v4.1); we also included a complete bottom-up rebuild of HateBrain, the natural language processing (NLP) engine at the heart of Hatebase, which is responsible for (as of this month) 738,000 regionalized, timestamped hate speech sightings.