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Bo Min Keum
Areas of interest
Online subcultures and radicalization; violent extremism; disengagement and intervention program evaluation; machine-learning applications in Preventing and Countering Violent Extremism (P/CVE)
Biography
Bo Min Keum is a PhD student in the International CyberCrime Research Institute and School of Criminology at Simon Fraser University (SFU). She completed her B.A. (Hons.Distinction) in Criminology at SFU and her MPhil in Criminological Research at the University of Cambridge. Her previous work focused on online radicalization patterns. Now, her focus is on evaluating what works to disrupt those patterns. She does so by: engaging in computational methods for distinguishing “Violent” and “Non-Violent” user patterns, conducting a Campbell Systematic Review of radicalization prevention programs, and interviewing formers to identify intervention target points to support those struggling to navigate exit.
Projects
Interventions to Prevent Cognitive and Behavioural Violent Radicalization: A Systematic Review and Multi-Level Meta-Analysis
A Campbell Systematic Review of 19 extremism interventions (spanning 2013-2024) aimed at preventing radicalization, with 118 effect sizes and representing 8,910 participants. Under peer-review by the Campbell Collaboration.
The Dark Crawler: Combating Disinformation Warfare with Artificial Intelligence
Funded by the Defence Sciences Division of Public Works and Government Services Canada, this project involved analyzing disinformation campaigns to establish the 'ground truth' for discerning between real information and disinformation. 2,500 tweets were coded into thematic patterns, which were used to assess the classification accuracy of machine-learning algorithms.