The authors propose an unsupervised machine learning approach to monitor the evolution of antisemitic discourse on extremist social media. By extracting themes and terminology from posts, they aim to provide a tool for monitoring and intervention in online hate speech.
Automated monitoring of antisemitic discourse evolution on extremist social media using unsupervised machine learning.