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Session 3 – Understanding and Supporting the Role of Youth in the Prevention of Violent Extremism:
This session place young people at the centre of the discussion, focusing on understanding the positive contribution of young women and men in preventing violent extremism in different contexts. We explore the linkages between youth radicalization and political violence, discuss evidence and data, and hear about the impressive work young champions are already leading in Somalia, Cameroon and Pakistan. We also discuss how the international community could effectively recognize, support and promote youth-led efforts and support the implementation of UN Security Council Resolution 2250.

Violent extremist activity on social media in the Philippines is a relatively new phenomenon in the complex conflict environment that exists in the southern part of the country. The rise of online violent extremism emerged despite the Philippines’ significant strides in the Mindanao peace process. The 2014 Comprehensive Agreement on the Bangsamoro between the government and the MILF was a landmark achievement. Yet a number of armed groups rejected the deal, many of which are now engaged in online extremism. The apparent affiliation of these groups with issues beyond Mindanao and the Philippine state signaled a potential new era of conflict in the country. With these concerns as a backdrop, The Asia Foundation and Rappler worked together to explore how young Filipinos interact with social media networks, and look into the prevalence and characteristics of violent extremist messaging and recruitment in the Philippines in 2018.

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.