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This article seeks to contribute to broadening the focus of research in the area of violent online political extremism by examining the use of the internet by dissident Irish Republicans and their supporters. The argument here is not that the internet substitutes face-to-face contacts amongst Irish Republicans, including violent dissidents, nor that it currently plays a central role in processes of radicalisation into violent dissident groups, but that it has an important support function in terms of providing an ‘always-on’ space for discussion, consumption, and production of Irish Republicanism and thus a potentially useful educative role in terms of introducing ‘newbies’ to violent dissident Republicanism while also acting as a ‘maintenance’ space for the already committed. This exploratory study considers the importance of these functions in the context of repeated suggestions that the dissidents have no significant support-base or constituency as internet activity certainly gives the appearance of some such support.

This report presents findings from a quantitative study, which aimed to explore the role of the Internet in radicalisation and offending of 235 convicted extremists in England and Wales.

The main objective of this systematic review is to synthesize the empirical evidence on how the Internet and social media may, or may not, constitute spaces for exchange that can be favorable to violent extremism. Of the 5,182 studies generated from the searches, 11 studies were eligible for inclusion in this review. We considered empirical studies with qualitative, quantitative, and mixed designs, but did not conduct meta-analysis due to the heterogeneous and at times incomparable nature of the data. The reviewed studies provide tentative evidence that exposure to radical violent online material is associated with extremist online and offline attitudes, as well as the risk of committing political violence among white supremacist, neo-Nazi, and radical Islamist groups. Active seekers of violent radical material also seem to be at higher risk of engaging in political violence as compared to passive seekers. The Internet’s role thus seems to be one of decision-shaping, which, in association with offline factors, can be associated to decision-making. The methodological limitations of the reviewed studies are discussed, and recommendations are made for future research.

VOX-Pol Blog post.

This article examines the discursive practices of Facebook users who use the platform to express racist views. We analyzed 51,991 public comments posted to 119 news stories about race, racism, or ethnicity on the Canadian Broadcasting Corporation News Facebook page. We examined whether users who hold racist viewpoints (the vocal minority) are less likely to express views that go against the majority view for fear of social isolation. According to the “spiral of silence” theory, the vocal minority would presumably fear this isolation effect. However, our analysis shows that on Facebook, a predominantly nonanonymous and moderated platform, the vocal minority are comfortable expressing unpopular views, questioning the explanatory power of this popular theory in the online context. Based on automated analysis of 8,636 comments, we found 64 percent mentioned race or ethnicity, and 18 percent exhibited some form of othering. A manual coding of 1,161 comments showed that 18 percent exhibited some form of othering, and 25 percent countered the racist discourse. In sum, while Facebook provides space to express racist discourse, users also turn to this platform to counter the hateful narratives.

This paper explores various Social Network Analysis (SNA) techniques in order to identify a range of potentially ‘important’ members of Islamic Networks within Dark Web Forums. For this experiment, we conducted our investigation on five forums collected in previous work as part of the DarkWeb Forum portal and built upon the tool support created in our previous research in order to visualise and analyse the network. Whilst existing work attempts to identify these structures through state-of-the-art Computational Linguistic techniques, our work relies on the communication metadata alone. Our analysis involved first calculating a range of SNA metrics to better understand the group members, and then apply unsupervised learning in order to create clusters that would help classify the Dark Web Forums users into hierarchical clusters. In order to create our social networks, we investigated the effect of repeated author resolution and various weighting schemes on the ranking of forum members by creating four social networks per forum and evaluating the correlation of the top n users (for n = 10; 20; 30; 40; 50 and 100). Our results identified that varying the weighting schemes created more consistent ranking schemes than varying the repeated author resolution.