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Drawing from disciplines such as corpus linguistics, computational linguistics, semiotics, history, and philosophy, this edited collection examines over 100,000 user comments from three language communities. Contributors explore various facets of online antisemitism, including its intersectionality with misogyny and its dissemination through memes and social networks. Through case studies, they examine the reproduction, support, and rejection of antisemitic tropes, alongside quantitative assessments of comment structures in online discussions. Additionally, the volume delves into the capabilities of content moderation tools and deep-learning models for automated hate speech detection. This multidisciplinary approach provides a comprehensive understanding of contemporary antisemitism in digital spaces, recognising the importance of addressing its insidious spread from multiple angles.

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