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Decoding Antisemitism: An AI-driven Study on Hate Speech and Imagery Online. Discourse Report 3

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Decoding Antisemitism : Une étude par IA du discours et de l’iconographie de la haine en ligne. Trroisième rapport d’analyse discursive / Decoding Antisemitism: Eine KI-gestützte Untersuchung von Hassrede und -bildern im Internet. Diskursreport 3.

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April 2022

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The third Discourse Report examines the differences and similarities of antisemitic responses to two different national events: the demonstrations against the introduction of a Covid ‘health pass’ in France and the prosecution of former concentration camp personnel in Germany. While these two events are radically distinct in both content and context, our analysis shows that antisemitic responses to both are underpinned by trends of Holocaust distortion or trivialisation, and that antisemitic tropes are regularly used to critique the actions of the respective governments. French users frequently compare the actions of the French government in combatting Covid-19 to those of the Nazis, and protesters to the Jews. German users often sought to restore an unblemished image of the German nation and family, as well as to downplay guilt by comparing contemporary political scenarios or (alleged) crimes with the Holocaust, thus distorting the latter.

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Bibliographic Information

Becker, Matthias J, Allington, Daniel Decoding Antisemitism: An AI-driven Study on Hate Speech and Imagery Online. Discourse Report 3. Zentrum für Antisemitismusforschung, Technische Universität Berlin, Kings College London. April 2022:  https://archive.jpr.org.uk/object-3773