Research summary document : hatebase - AI for hate speech monitoring
Hate speech is widely acknowledged as a precipitator of violence, particularly against vulnerable minorities, and a contributor to societal polarization which can lead to instability and conflict escalation. The impact of hate speech on fragile states has risen in recent years as a result of increased internet connectivity, enabling hate speech to be disseminated through social media and contributing on a large scale to persecution, armed conflict, and genocide in various countries. The sheer volume of hate speech constantly circulating online exceeds the capabilities of human moderators, thus resulting in the need for increasingly effective automation. The pervasiveness of online hate speech also presents an opportunity since these large volumes of data are potentially useful as indicators of spiraling instability and introduce the possibility of early intervention. The purpose of this research is to provide a technical explanation of the processes involved while still attempting to make the material digestible for an audience with limited or no technical experience in the subject.
Auteur ou autrice(s) : Boyd, Drew
Langage : Anglais