Inhalt des Dokuments
Decoding Antisemitism: An AI-driven Study on Hate Speech and Imagery Online
3-year-pilot study, funded by the Alfred Landecker Foundation
Prof. Dr. Stefanie Schüler-Springorum 
Prof. Dr. Uffa Jensen 
Dr. Matthias J. Becker 
(Qualitative and quantitative analysis)
Dr. Daniel Allington, King’s College London 
(Machine learning and quantitative analysis)
Pilot project in close cooperation with King’s College London.
Project partners representing the advisory board are The Open University (Milton Keynes), the Pears Institute London, University of Mainz, Hebrew University in Jerusalem, University of Haifa, University of Vienna, Lancaster University, Princeton University, and Cardiff University.
The 3-year pilot project presented here aims at analyzing antisemitic hate speech and imagery on mainstream news websites and social media platforms in different European contexts. Current forms of antisemitism will be examined in various ways by three international research teams from Germany, France, and the UK.
First, the datasets will be studied in detail (qualitative analysis based on pragmalinguistic, image analytical and historical approaches), taking into account explicit as well as implicit forms of communication (TU Berlin).
The resulting annotated datasets will provide training, validation, and test data for supervised machine learning techniques (King’s College London).
Eventually, all studied phenomena will be measured over time through statistical/quantitative analysis (TU Berlin and King’s College London).
The project stands in contrast to previous quantitative research on antisemitism online due to a) its awareness of verbal and visual complexity in the respective cultural and situational contexts, and b) its detailed, multimodal approach. Thus, it will provide the most accurate picture yet of the full extent of Jew-hatred on the interactive web.
The focus of the pilot project will be on German, English and French websites and their respective social media platforms. After the initial three year period, the focus will broaden out to investigate other European language communities.
The project will make a major contribution to the study of viral hate in different cultural contexts. Moreover, the researchers will engage in an ongoing dialogue not only with academia, but also with political, media and pedagogical institutions. An additional output will be an open source tool that will help to identify the full extent of antisemitism in various web milieus.
Contact for further questions: Dr. Susanne Beer, Email: firstname.lastname@example.org 
The half-yearly discourse reports share central
insights of the ongoing research outcomes of the project
"Decoding Antisemitism" and review unfolding trends.
The first discourse report provides insight into the methodological approaches and the nature of antisemitic hate speech in selected discourse spaces.
Download 1st report EN 
Download 1st report DE 
The second discourse report presents the definitional basis of our analyses and for the first time provides comprehensive insights into our corpus analyses relating to Great Britain, France and Germany.
Download 2nd report EN 
Download 2nd report DE 
Download 2nd report FR 
The third Discourse Report sheds light on the differences and similarities of antisemitic responses to two national events: the anti-health pass demonstrations in France and the prosecution of former concentration camp personnel in Germany.
Download 3rd report EN 
Download 3rd report DE 
Download 3rd report FR