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=245  00$aAntisemitism in Online Communication :$bTransdisciplinary Approaches to Hate Speech in the Twenty-First Century /$cedited by Matthias J. Becker, Laura Ascone, Karolina Placzynta, Chloé Vincent.
=264  \1$aCambridge, UK :$bOpen Book Publishers,$c2024.
=264  \4$c©2024
=300  \\$a1 online resource (viii+252 pages): $b24 illustrations, 13 tables.
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=500  \\$aAvailable through Open Book Publishers.
=505  0\$aAcknowledgementsIntroduction1. The Cases of Riley and Rooney2. Jordan Peterson and Conservative Antisemitism Online: The Dethroning of an Intellectual Icon Following His Interview with Netanyahu3. ‘Pop’ Antisemitism and Deviant Communities4. “More Like Genocide”5. Countering Antisemitism Online6. Multimodal Cognitive Anchoring in Antisemitic Memes7. Discussion Trees on Social Media8. Algorithms Against Antisemitism?About the AuthorsList of FiguresList of TablesIndex
=506  0\$aOpen Access$fUnrestricted online access$2star
=520  \\$aThe normalisation of hate speech, including antisemitic rhetoric, poses a significant threat to social cohesion and democracy. While global efforts have been made to counter contemporary antisemitism, there is an urgent need to understand its online manifestations. Hate speech spreads easily across the internet, facilitated by anonymity and reinforced by algorithms that favour engaging--even if offensive--content. It often takes coded forms, making detection challenging.Antisemitism in Online Communication addresses these issues by analysing explicit and implicit antisemitic statements in mainstream online discourse. 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.
=536  \\$aTechnische Universität Berlin$eOpen Access Publication Fund of the  Technische Universität Berlin
=538  \\$aMode of access: World Wide Web.
=540  \\$aThe text of this book is licensed under a Creative Commons Attribution 4.0 International license (CC BY 4.0). For more detailed information consult the publisher's website.$uhttps://creativecommons.org/licenses/by/4.0/
=588  0\$aMetadata licensed under CC0 Public Domain Dedication.
=653  \\$aantisemitism
=653  \\$ahate speech
=653  \\$aqualitative analysis
=653  \\$aquantitative analysis
=653  \\$amultimodal analysis
=653  \\$ainternet studies
=653  \\$asocial media studies
=700  1\$aBecker, Matthias J.,$eeditor.$uTechnische Universität Berlin.$0(orcid)0000000328474542$1https://orcid.org/0000-0003-2847-4542
=700  1\$aAscone, Laura,$eeditor.$uTechnische Universität Berlin.$0(orcid)0000000275951156$1https://orcid.org/0000-0002-7595-1156
=700  1\$aPlaczynta, Karolina,$eeditor.$uTechnische Universität Berlin.$0(orcid)0000000303232627$1https://orcid.org/0000-0003-0323-2627
=700  1\$aVincent, Chloé,$eeditor.$uTechnische Universität Berlin.$0(orcid)0009000466224303$1https://orcid.org/0009-0004-6622-4303
=710  2\$aOpen Book Publishers,$epublisher.
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=856  42$uhttps://creativecommons.org/publicdomain/zero/1.0/$zCC0 Metadata License