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 2013 article focuses on identifying and measuring the influence of extremist accounts on Twitter, assessing extremist content, and determining ways to counter violent extremism (CVE) in online social networks.
This seminal 1991 article examines the strategic applications of network analysis methodologies for law enforcement.
This 2014 paper presents a web-crawler called the Terrorism and Extremism Network Extractor (TENE), designed to gather information about extremist activities on the Internet.
This 2013 paper introduces a methodology that incorporates information available on terrorist networks, into the analysis of social networks underlying terrorist groups.
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