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Notwithstanding the discernable participation of women in terrorist groups, empirical research on women in terrorism is very scant in Bangladesh. To fill this gap, our article examines women’s involvement in terrorism by analyzing the life stories of dozens of Bangladeshi women terrorists. We use a terrorist lifecycle approach to understand the role of digital media in female participation, particularly in terms of when in the lifecycle digital media becomes important, and in terms of how digital media interacts with other factors to shape women’s involvement in terrorist organizations. After analyzing female profiles and their socio-demographic traits, we provide an in-depth analysis of three female terrorist lifecycles. An analysis of the profiles of Bangladeshi terrorists who use digital media reveals that women were more likely to use digital media than men in the recruitment phase. The in-depth case studies of three female terrorist profiles find that multiple and different factors impact their terrorist life cycles. Social networks – families and friends – typically play a role in individuals’ decision to become involved and further engagement in terrorism. Specifically, digital media allows women to expand their social interactions beyond what is possible in person, thus allowing for virtual pathways into terrorism.

The Internet and, in particular, Online Social Networks have changed the way that terrorist and extremist groups can influence and radicalise individuals. Recent reports show that the mode of operation of these groups starts by exposing a wide audience to extremist material online, before migrating them to less open online platforms for further radicalization. Thus, identifying radical content online is crucial to limit the reach and spread of the extremist narrative. In this paper, our aim is to identify measures to automatically detect radical content in social media. We identify several signals, including textual, psychological and behavioural, that together allow for the classification of radical messages. Our contribution is threefold: (1) we analyze propaganda material published by extremist groups and create a contextual text-based model of radical content, (2) we build a model of psychological properties inferred from these material, and (3) we evaluate these models on Twitter to determine the extent to which it is possible to automatically identify online radical tweets. Our results show that radical users do exhibit distinguishable textual, psychological, and behavioural properties. We find that the psychological properties are among the most distinguishing features. Additionally, our results show that textual models using vector embedding features significantly improves the detection over TF-IDF features. We validate our approach on two experiments achieving high accuracy. Our findings can be utilized as signals for detecting online radicalization activities.

In this report, the Institute for Strategic Dialogue and CASM Technology provide a data-driven snapshot of the online activities of extremists with a demonstrable link to New Zealand, as well as the digital platforms connecting New Zealand to an international extremist ecosystem.

YouTube is by far the largest host of user-generated video content worldwide. Alas, the platform also hosts inappropriate, toxic, and/or hateful content. One community that has come into the spotlight for sharing and publishing hateful content are the so-called Involuntary Celibates (Incels), a loosely defined movement ostensibly focusing on men’s issues, who have often been linked to misogynistic views. In this paper, we set out to analyze the Incel community on YouTube. We collect videos shared on Incel-related communities within Reddit, and perform a data-driven characterization of the content posted on YouTube along several axes. Among other things, we find that the Incel community on YouTube is growing rapidly, that they post a substantial number of negative comments, and that they discuss a broad range of topics ranging from ideology, e.g., around the Men Going Their Own Way movement, to discussions filled with racism and/or misogyny. Finally, we quantify the probability that a user will encounter an Incel-related video by virtue of YouTube’s recommendation algorithm. Within five hops when starting from a non-Incel-related video, this probability is 1 in 5, which is alarmingly high given the toxicity of said content.

This report presents the key findings from the London Roundtable on “Understanding the Impact of Terrorist Event Reporting on Countering Violent Extremism”. The event was held at the Australian High Commission in London on 30-31 January 2018. The roundtable brought together media practitioners, CVE and PVE front line practitioners, policy-makers and academics drawn from Australia, the United Kingdom, Belgium, France, Germany, Sweden, Norway, Finland and the United States of America. Other attendees included representatives from various Australian and British Government departments and New Scotland Yard. This report provides summaries of each of the panel discussions that were delivered at the roundtable, before drawing out the key themes, which emerged and policy recommendations.

VOX-Pol Blog post.