Social Media Analytics

This article is based on a research project conducted by the SecDev Group in collaboration with the U.S. National Institute for Justice (NIJ) in San Diego.

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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.

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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.

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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.

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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.

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