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 paper explores the use of crawling global social networking platforms to undercover previously unknown radicalized individuals. To prove the utility of this process the authors collect a YouTube dataset from a group that potentially has a radicalizing agenda.
This paper presents a theoretical computerized system to detect social polarization and to estimate the related chances of violent radicalization. Existing technologies are analyzed to determine how they can be integrated into the proposed system to fulfil the authors’ objectives.
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