Online Library

This paper analyses the impact of a series of mass shootings committed in 2018–2019 by right-wing extremists on 8chan/pol, a prominent far-right online forum. Using computational methods, it offers a detailed examination of how attacks trigger shifts in both forum activity and content. We find that while each shooting is discussed by forum participants, their respective impact varies considerably. We highlight, in particular, a ‘Tarrant effect’: the considerable effect Brenton Tarrant’s attack of two mosques in Christchurch, New Zealand, had on the forum. Considering the rise in far-right terrorism and the growing and diversifying online far-right ecosystem, such interactive offline-online effects warrant the attention of scholars and security professionals.

This paper combines qualitative and quantitative content analysis to map and analyze the “Incel” worldview shared by members of a misogynistic online community ideologically linked to several recent acts of politically motivated violence, including Alek Minassian’s van attack in Toronto (2018) and Elliot Rodger’s school shooting in Isla Vista (2014). Specifically, the paper analyses how support and motivation for violence results from the particular structure this worldview presents in terms of social categories and causal narratives.

This book offers a comprehensive overview and analysis of the Islamic State’s use of propaganda. Combining a range of different theoretical perspectives from across the social sciences, and using rigorous methods, the authors trace the origins of the Islamic State’s message, laying bare the strategic logic guiding its evolution, examining each of its multi-media components, and showing how these elements work together to radicalize audiences’ worldviews. This volume highlights the challenges that this sort of “full-spectrum propaganda” raises for counter terrorism forces. It is not only a one-stop resource for any analyst of IS and Salafi-jihadism, but also a rich contribution to the study of text and visual propaganda, radicalization and political violence, and international security.

Over the past decade, two major phenomena have developed in the digital realm. On the one hand, extremism has grown massively on the Internet, with sprawling online ecosystems hosting a wide range of radical subcultures and communities associated with both ‘stochastic terrorism’ and the ‘mainstreaming of extremism’. On the other hand, Artificial Intelligence (AI) has undergone exponential improvement: from ChatGPT to video deepfakes, from autonomous vehicles to face-recognition CCTV systems, an array of AI technologies has abruptly entered our everyday lives. This report examines ‘AI extremism’, the toxic encounter of these two evolutions – each worrying in its own right. Like past technological progress, AI will indeed be – in fact already is – used in various ways to bolster extremist agendas. Identifying the many opportunities for action that come with a range of AI models, and linking them with different types of extremist actors, we offer a clear overview of the numerous facets of AI extremism. Building on the nascent academic and government literature on the issue as well as on our own empirical and theoretical work, we provide new typologies and concepts to help us organize our understanding of AI extremism, systematically chart its instantiations, and highlight thinking points for stakeholders in countering violent extremism.

Anhand der Einzelfallstudie des Radikalisierungsprozesses einer jihadistischen Straftäterin möchte dieser Beitrag die besondere Rolle des Internets bei Radikalisierungen von Extremisten aufzeigen. Die Straftäterin war in den Jahren 2007 bis 2010 einePropagandistin, die über das Internet mehrere terroristische Vereinigungen unterstützte, indem sie deren Videobotschaften online verbreitete. In der Einzelfallstudie wird aufgezeigt, wie sich die Jihadistin durch virtuelle Kontakte, Propagandaaktivitäten sowie ihre Zusammenarbeit mit zahlreichen Jihadisten im Ausland über das Internet radikalisierte.

The Role of the Internet on Radicalization of a German Jihadist Offender: A Case Study
Based on the analysis of a case study this article raises the question about the role of the internet in accelerating the radicalization of a woman who joined the jihadist milieu in southern Germany in the mid 2000s. From 2007 to 2010 she was a jihadist activist on the internet who supported several terrorist groups by publishing videos and jihadi messages in blogs, video channels and web forums. The case study shows how the woman was radicalized through virtual contacts, interactions in virtual communities, as well as through her support of several jihadists abroad.

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We define this task as being able to classify a tweet as racist, sexist or neither. The complexity of the natural language constructs makes this task very challenging. We perform extensive experiments with multiple deep learning architectures to learn semantic word embeddings to handle this complexity. Our experiments on a benchmark dataset of 16K annotated tweets show that such deep learning methods outperform state-of-the-art char/word n-gram methods by ~18 F1 points.