Forecasting Online Negativity Spikes with Multilingual Transformers for Strategic Decision-Making
May 7, 2026
Social media platforms like Reddit, YouTube, and Instagram amplify rapid dissemination of negative sentiment, potentially causing harm and fostering extremist discourse. This paper addresses the NLP challenge of predicting sudden spikes in negative sentiment by fine-tuning multilingual transformer models. We present a structured pipeline emphasizing linguistic feature extraction and temporal modeling. Our experimental results, obtained ...
A Web of Extremism: How Anti-Government Extremists Survive Online Censorship
April 29, 2025
This thesis explores how extremism manages to survive in moderated online spaces. This work follows the attempts of the Instagram platform to minimize the presence of the right-wing extremist groups, specifically the Boogaloo movement, as a means of understanding how such groups survive and proselytize in the face of censorship. Addressing this question is done ...
Behind Blue Skies: A Multimodal Automated Content Analysis of Islamic Extremist Propaganda on Instagram
April 28, 2025
Social media platforms, such as Instagram, are regularly misused for spreading covert (Islamic) extremist propaganda. Affect and emotion are central tools used in extremist propaganda, but there is little research into the combined employment of different social media elements, such as hashtags, visuals, and texts, in the context of propaganda. This study contributes to closing ...
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 ...