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VOX-Pol Blog post.

VOX-Pol Blog post.

VOX-Pol Blog post.

This background note pertains to how far right extremist groups have coopted methods from the ‘cyber caliphate’ and jihadist Internet use to develop their own support networks. Specifically, the material deals with the varying levels of online presence, comparing jihadist and far right strategies to disseminate propaganda. By adhering to this layered network, the source reveals how extremist groups of all varieties are able to protect themselves while simultaneously projecting their message. The source also briefly touches on the few, but crucial divergences between the jihadist and far right methods.

OSCE’s background note on jihadist internet usage provides valuable context and a succinct survey of how the extensive research already done on jihadist internet presence also applies to the far right. Researchers looking to study the correlations between the two should begin here.

This thesis examines why approximately 700 German foreign fighters traveled to Syria and Iraq between early 2012 and late 2015. It presents the author’s original research on 99 German foreign fighter profiles, examining their preexisting network connections in Germany as well as their biographical availability and integration into German society. The study finds that German foreign fighters are primarily mobilized through traditional social network connections and that the mobilizing network in Germany consists of a nationwide, interconnected, and politically active “Salafist scene.” The project also finds that while Western governments often worry about the looming threat of online radicalization, verifiable examples of purely Internet-based radicalization remain rare.

The Islamic State in Iraq and Syria (ISIS), like no other terrorist organization before, has used Twitter and other social media channels to broadcast its message, inspire followers, and recruit new fighters. Though much less heralded, ISIS opponents have also taken to Twitter to castigate the ISIS message. This report draws on publicly available Twitter data to examine this ongoing debate about ISIS on Arabic Twitter and to better understand the networks of ISIS supporters and opponents on Twitter. To support the countermessaging effort and to more deeply understand ISIS supporters and opponents, this study uses a mixed-methods analytic approach to identify and characterize in detail both ISIS support and opposition networks on Twitter. This analytic approach draws on community detection algorithms that help detect interactive communities of Twitter users, lexical analysis that can identify key themes and content for large data sets, and social network analysis.