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This article presents a mixed methods approach for analysing text and image relations in violent extremist discourse. The approach involves integrating multimodal discourse analysis with data mining and information visualisation, resulting in theoretically informed empirical techniques for automated analysis of text and image relations in large datasets. The approach is illustrated by a study which aims to analyse how violent extremist groups use language and images to legitimise their views, incite violence, and influence recruits in online propaganda materials, and how the images from these materials are re-used in different media platforms in ways that support and resist violent extremism. The approach developed in this article contributes to what promises to be one of the key areas of research in the coming decades: namely the interdisciplinary study of big (digital) datasets of human discourse, and the implications of this for terrorism analysis and research.

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This chapter explores the effects of the trust problem on jihadi internet discussion forums. The scarcity of non-verbal cues in digital communication facilitates deceptive mimicry, which undermines the inter- personal trust required for sensitive transactions. Open-source data from Arabic-language jihadi forums between 2006 and 2011 indicate that distrust there was high and direct recruitment rare. General trust also declined over time as policing of the forums increased. As of 2014, forums are still in use, but primarily for low-stake activities such as propaganda-sharing and ideological debate, not recruiting or operational coordination. Confidence in the authenticity of propaganda remained relatively high, due to vetting institutions and hard-to-fake video formats. A modicum of interpersonal trust also remained, thanks to reputation systems and a few relatively reliable signs of trustworthiness involving time expenditure. The trust problem is an Achilles heel for high-risk activists online, including pro-democracy activists in authoritarian settings.

Anecdotal evidence asserts that extremist materials on the internet play a decisive role in radicalization processes. However, due to a structural absence of empirical data in the current literature, it remains uncertain if—and to what extent—online extremist materials radicalize. Therefore, the approach of the study was two-fold. First, we explored what types of online jihadist media are pro-actively sought and consumed by young adults. Second, we investigated if and how active exposure to online jihadist media is related to cognitive radicalization, whilst taking into account one’s moral disengagement, prior involvement in petty crime, and socio-demographics. Cross-sectional data analyses within a sample of Belgian young adults (n = 1872) show that beheading videos—the most violent and radical form of any of the jihadist materials under scrutiny—were most sought online (36%), but were, paradoxically, the least predictive for radicalization. On the contrary, the rather static jihadist magazines were sought by a small minority (10–11%) but were most strongly associated with radicalization. A stepwise linear regression analysis and Structural Equation Model support our hypothesis that the process of cognitive radicalization is a complex, phasic trajectory from actively seeking out extremist materials to sympathies for violent political behaviors.

This work examines the intersections of subcultural theories and radicalization theories from terrorism studies to identify how they may be improved through integration. To date there have been almost no efforts to merge these frameworks, though terrorism shares common characteristics of deviant subcultures. Both are driven by ideologies that are in opposition to that of their targets. We focus particularly on the process of online radicalization to assess how subcultural research in online environments may inform the process of enculturation into a terrorist belief system. We conclude by discussing the implications of this expansion for research on terrorism and subcultures.