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VOX-Pol Blog Post.

The advent of social media platforms has created an online environment that transcends geographic and political boundaries as well as traditional mechanisms of state-based authority. The decentralised nature of social media and its ability to disseminate content anonymously and to reach wide audiences has afforded violent extremist groups opportunities to further propaganda, recruitment, radicalisation, fundraising and operational planning. This paper examines three violent extremist-related groups operating in Asia Pacific: one ‘classic’ terrorist – Abu Sayyaf in the Philippines; one a dissident political party – Jamaat-e-Islami in Bangladesh; and one a broad ethno-religious separatist movement – the Uyghurs in China. Each study highlights how the adoption of proactive social media strategies affords the group numerous opportunities to maximise their reach, impact and effect. However, the same technological specificities that generate these possibilities also expose the groups to new vulnerabilities and risks.

Recent decades have seen a blurring of the line between extremist movements and mainstream politics, driven by rising sectarian polarization. This development has been linked to digital media, with suggestions that so-called echo chambers may drive political radicalization. To understand the social processes taking place inside such digital spaces, this article draws on Randall Collins and the Durkheimian tradition to develop a theory of discursive community formation. Empirically, we analyze 20 years of discussion on the White Power forum Stormfront, employing natural language processing to study discursive evolution as members become socialized into the community. Our findings suggest that digital media provide space for conversational rituals that instill in people a sense of social membership and intersubjectivity, contained in the elaboration of a shared discourse, within which certain beliefs become sacred and unquestionable. This provides a potential social mechanism linking echo chambers to the rise of sectarian polarization.

The English Defence League (EDL) is the biggest populist street movement in a generation. Yet the make-up of the group and what its members believe remain a mystery because it has no formal joining procedures or membership list and much of its activity takes place online. The collection of large amounts of data from social media presents new opportunities for social research to understand the relationship between off- and online activity. As more movements combine – and blur – virtual and real protest, these questions will become increasingly urgent and important. These surveys, collected through Facebook using a new methodology, offer new ways forward in exploring this challenge.

This case study explores the convergence of white extremist political ideology with mainstream political ideology on the micro-blogging platform Twitter – a phenomenon termed “inter-ideological mingling”. Exploring the spread of white extremism in the digital environment can provide insight into the growth of hate groups in the physical environment. A sample of 4800 tweets was examined through hierarchical cluster analysis and textual analysis. Several pieces of evidence were found supporting inter-ideological mingling. Cluster analysis shows that extremist terms are not isolated from terms found in mainstream political discourse. Textual analysis of individual tweets provides evidence for five strategies of inter-ideological mingling: joining, blending, piggybacking, backstaging, and narrating.

In this paper we present a novel interactive multimodal learning system, which facilitates search and exploration in large networks of social multimedia users. It allows the analyst to identify and select users of interest, and to find similar users in an interactive learning setting. Our approach is based on novel multimodal representations of users, words and concepts, which we simultaneously learn by deploying a general-purpose neural embedding model. The usefulness of the approach is evaluated using artificial actors, which simulate user behavior in a relevance feedback scenario. Multiple experiments were conducted in order to evaluate the quality of our multimodal representations and compare different embedding strategies. We demonstrate the capabilities of the proposed approach on a multimedia collection originating from the violent online extremism forum Stormfront, which is particularly interesting due to the high semantic level of the discussions it features.