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Cognitive assemblages: The entangled nature of algorithmic content moderation

December 3, 2024

This article examines algorithmic content moderation, using the moderation of violent extremist content as a specific case. In recent years, algorithms have increasingly been mobilized to perform essential moderation functions for online social media platforms such as Facebook, YouTube, and Twitter, including limiting the proliferation of extremist speech. Drawing on Katherine Hayles’ concept of “cognitive ...

Far-right social media communication in the light of technology affordances: a systematic literature review

December 3, 2024

Most analyses of far-right communication on social media focus on one specific platform, while findings are generalized. In this study, I argue that the far right’s use of social media depends on technology affordances – the linkage between platform design and usage – and, thus, might not always be generalizable. After discussing six affordances – ...

From Bad to Worse: Auto-generating & Autocompleting Hate

October 29, 2024

Do social media and search companies exacerbate antisemitism and hate through their own design and system functions? In this joint study by the ADL Center for Technology and Society (CTS) and Tech Transparency Project (TTP), we investigated search functions on both social media platforms and Google. Our results show how these companies’ own tools–such as ...

From Bad to Worse: Algorithmic Amplification of Antisemitism and Extremism

October 29, 2024

Do social media companies exacerbate antisemitism and hate through their own recommendation and amplification tools? We investigated how four of the biggest social media platforms treated users who searched for or engaged with content related to anti-Jewish tropes, conspiracy theories, and other topics. Three of them–Facebook, Instagram, and Twitter1 (now known as X after a ...

From online hate speech to offline hate crime: the role of inflammatory language in forecasting violence against migrant and LGBT communities

October 20, 2024

Social media messages often provide insights into offline behaviors. Although hate speech proliferates rapidly across social media platforms, it is rarely recognized as a cybercrime, even when it may be linked to offline hate crimes that typically involve physical violence. This paper aims to anticipate violent acts by analyzing online hate speech (hatred, toxicity, and ...

Shifting Patterns of Extremist Discourse on Facebook: Analyzing Trends and Developments During the Israel-Hamas Conflict

October 2, 2024

This working paper explores trends in extremist Facebook data from July 2023 to June 2024. We examined engagement, sentiment, and topics within Facebook groups categorized as anti-Israel/Semitic, anti-Palestine/Muslim, and anti-both, mapping these trends against five major events related to the recent Israel-Hamas conflict. Our findings support the hypothesis that shifts in trends correspond with these ...