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Terrorists and extremists are increasingly utilizing Internet technology to enhance their ability to influence the outside world. Due to the lack of multi-lingual and multimedia terrorist/extremist collections and advanced analytical methodologies, our empirical understanding of their Internet usage is still very limited. To address this research gap, we explore an integrated approach for identifying and collecting terrorist/extremist Web contents. We also propose a Dark Web Attribute System (DWAS) to enable quantitative Dark Web content analysis from three perspectives: technical sophistication, content richness, and Web interactivity. Using the proposed methodology, we identified and examined the Internet usage of major Middle Eastern terrorist/extremist groups. More than 200,000 multimedia Web documents were collected from 86 Middle Eastern multi-lingual terrorist/extremist Web sites. In our comparison of terrorist/extremist Web sites to US government Web sites, we found that terrorists/extremist groups exhibited similar levels of Web knowledge as US government agencies. Moreover, terrorists/extremists had a strong emphasis on multimedia usage and their Web sites employed significantly more sophisticated multimedia technologies than government Web sites. We also found that the terrorists/extremist groups are as effective as the US government agencies in terms of supporting communications and interaction using Web technologies. Advanced Internet-based communication tools such as online forums and chat rooms are used much more frequently in terrorist/extremist Web sites than government Web sites. Based on our case study results, we believe that the DWAS is an effective tool to analyse the technical sophistication of terrorist/extremist groups’ Internet usage and could contribute to an evidence-based understanding of the applications of Web technologies in the global terrorism phenomena.

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.

VOX-Pol Blog post.

VOX-Pol Blog Post.

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.

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.