This presentation derives from research on ‘Decoding Antisemitism: An AI-driven Study on Hate Speech and Imagery Online’ a project based at the Technische Universität Berlin. The aim of the project is to analyse the frequency, content and linguistic structure of online antisemitism, with the eventual objective of developing AI machine learning capable of recognising explicit and implicit forms of antisemitic hate speech. The initial focus is on comments found on the websites and social media platforms of major media outlets in the UK, Germany and France. The paper will outline the project’s multi-step methodological design which seeks to capture the complexity, diversity and continual development of antisemitism online.
Dr Matthias J Becker is Project Lead on the “Decoding Antisemitism” project and a postdoctoral researcher at the Zentrum für Antisemitismusforschung at TU Berlin. His latest monograph, Antisemitism in Reader Comments: Analogies for Reckoning with the Past, was published by Palgrave Macmillan in 2021.