Development of an automated hate speech recognition method in online portals based on a retrainable classifier

Prof. Dr. Peter Mandl
Institute for Applications of Machine Learning and Intelligent Systems (IAMLIS)

Hate speech has become a widespread, socially focused phenomenon that increasingly has a lasting negative impact on the sense of security, especially of public figures. Online content containing hate speech such as incitement of the people, insults, slander and death threats incites people and, in individual cases, even serves as a motivation or trigger for politically motivated crimes, including attacks on people or property. Hate speech is highly context-dependent and can change over time.