DATA-DRIVEN APPROACH TO COUNTERING HATE SPEECH
DACHS focuses on the automation of Hate Speech recognition in order to facilitate its analysis in supporting countermeasures at scale. To do that, we map and model hate speech against journalists, as unofficial moderators or direct targets, across social platforms in order to develop deep learning-based hate speech detection models and an open-source hate speech database.
DACHS uses the latest technologies and analytical techniques to discover Hate Speech directed at journalists and news outlets, and develops strategies for journalists to counter online hatred. What we learn from this case can then more easily be applied to other vulnerable groups.