Online Library

The PKK/KONGRA-GEL terrorist group makes extensive use of the internet, notably for propaganda. The prominent PKK websites are listed in a dataset which shows the way these sites relate to each other with links. An overview of their content is given, then various software and analysis tools, notably Unicet, are used to reveal different aspects of this network of Websites; Centrality Analyses to show prominence and hierarchical structure, Density and Geodesic Distances Analyses, and Connectivity Analyses.

This paper explores the uses of YouTube by Uyghur nationalist movement activists and studies various ideological codes used by different communities to promote their messages. It argues that several ideological codes are produced in order to challenge the dominant ideologies promoted by the Chinese government, which create a ground for Uyghur ‘imagined solidarity’ across physical borders. Analysis of the production of audio-visual messages by the dispersed ethnic group provides an important window into how ethnic identity is forged by means of Web 2.0.

VOX-Pol Blog Post.

VOX-Pol Blog post.

Researchers and policymakers have supported a public health approach to countering violent extremism throughout the War on Terror. However, barriers to obtaining primary data include concerns from minority groups about stigmatization, the ethics of harming research subjects by exposing them to violent content, and restrictions on researchers from institutions and governments. Textual analyses of declassified documents from government agencies may overcome these barriers. This article contributes a method for analyzing the predisposing, precipitating, and perpetuating factors of terrorism through open source texts. This method is applied to FBI interrogation summaries of Al Qaeda terrorist Umar Farouk Abdulmutallab who attempted an attack aboard an airplane in 2009. This analysis shows that consuming militant content online led him to narrow his social relationships offline to extremists and foster identifications with subjugated Muslims around the world. After deciding to wage militancy, loyalty to Al Qaeda members, swearing allegiance to and obeying group leaders, and interpreting religious texts militantly perpetuated violent activities. Such work can advance empirical work on militant behavior to develop interventions.

Research examining radical visual communication and its manifestation on the trending platform TikTok is limited. This paper presents a novel methodological framework for studying mobilization strategies of far-right groups on TikTok, employing a mixed-method approach that combines manual annotation, unsupervised image classification, and named-entity recognition to analyze the dynamics of radical visuals at scale. Differentiating between internal and external mobilization, we use popularity and engagement cues to investigate far-right mobilization efforts on TikTok within and outside their community. Our findings shed light on the effectiveness of unsupervised image classification when utilized within a broader mixed-method framework, as each observed far-right group employs unique platform characteristics. While Conspiracists flourish in terms of overall popularity and internal mobilization, nationalist and protest content succeeds by using a variety of persuasive visual content to attract and engage external audiences. The study contributes to existing literature by bridging the gap between visual political communication at scale and radicalization research. By offering insights into mobilization strategies of far-right groups, our study provides a foundation for policymakers, researchers, and online platforms to develop proactive measures to address the risks associated with the dissemination of extremist ideologies on social media.