Edited by Matthias J. Becker, Hagen Troschke, Matthew Bolton, and Alexis Chapelan

This open access book is the first comprehensive guide to identifying antisemitism online today, in both its explicit and implicit (or coded) forms. Developed through years of on-the-ground analysis of over 100,000 authentic comments posted by social media users in the UK, France, Germany and beyond, the book introduces and explains the central historical, conceptual and linguistic-semiotic elements of 46 antisemitic concepts, stereotypes and speech acts. The guide was assembled by researchers working on the Decoding Antisemitism project at the Centre for Research on Antisemitism at Technische Universität Berlin, building on existing basic definitions of antisemitism, and drawing on expertise in various fields. Using authentic examples taken from social media over the past four years, it sets out a pioneering step-by-step approach to identifying and categorising antisemitic content, providing guidance on how to recognise a statement as antisemitic or not. This book will be an invaluable tool through which researchers, students, practitioners and social media moderators can learn to recognise contemporary antisemitism online – and the structural aspects of hate speech more generally – in all its breadth and diversity.

Cham: Springer Nature, 2024. 541p.

Edited by Matthias J. Becker, Laura Ascone, Karolina Placzynta and Chloé Vincent

The 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.

Cambridge, UK: Open Book Publishers. 2024.262p.

By John D. Gallacher and Jonathan Bright

Online hate speech is a growing concern, with minorities and vulnerable groups increasingly targeted with extreme denigration and hostility. The drivers of hate speech expression on social media are unclear, however. This study explores how hate speech develops on a fringe social media platform popular with the far-right, Gab. We investigate whether users seek out this platform in order to express hate, or whether instead they develop these opinions over time through a mechanism of socialisation, as they interact with other users on the platform. We find a positive association between the time users spend on the platform and their hate speech expression. We show that while some users do arrive on these platforms with pre-existing hate stances, others develop these expressions as they get exposed to the hateful opinions of others. Our analysis reveals how hate speech develops online, the important role of the group environment in accelerating its development, and gives valuable insight to inform the development of counter measures.

Oxford, UK: University of Oxford, Oxford Internet Institute, 2021. 47p.