This article is based on a netnographic research project that studied political discussions in the Swedish LGBT online community Qruiser. The aim of the project was to understand what motivated participation in political forum threads on Qruiser.
In 2013, The SecDev Group undertook a 10-month Kanishka-funded project that set out, in part, to explore methodologies and technologies for open source social media (OSSM) research and their potential utility for detecting weak signals of radicalization towards violent extremism online.
This research note summarizes experimental research conducted by The SecDev Group in 2013, as part of a Public Safety Canada, Kanishka-funded project looking at social media analytics and the prevention of violent extremism.
This experiment used the Twitter profile of a U.K. national, verified to be an active foreign fighter (FF) in the Syrian civil war, as the seed for constructing a network topology based on social media interactions.
This summary captures the main findings of a longitudinal content analysis of a known foreign fighter’s (FF) public social media activity for signs of radicalization toward violent extremism.
This 2014 paper reviewed relevant empirical social science studies to gain perspective on two questions: 1) Are there accepted risk factors or indicators that signal increasing radicalization on the pathway to violent extremism?
This 2012 paper develops a novel methodology for modeling cyber-collective social networks (CSMs) from individual, community, and transnational perspectives. The authors do this by utilizing existing collective action theories and computational approaches for social network analysis.
This article focuses on Data Mining and Social Network Analysis (SNA) amongst bloggers, and in particular the mining of racist groups and cyber hate communities in online blogging websites.
This portal gathers an annotated collection of recent research on the ways in which social media and new technologies may be leveraged in the fight against violent extremism