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This report presents the main theories and ways radical groups influence and attract individuals online, and the most common tools and strategies governments use to counter its impact.

The literature shows that there are two fields that can feed radicalization, online and offline domains. However, the arbitrary separation has been challenged since radicalised individuals use both domains for their activities and they seamlessly move across the two (Pauwels & Schils, 2016; Gill et al., 2017; Whittaker, 2022). Furthermore, most scholars today agree that radicalization is not a linear or a step-by-step process, but rather a multifactorial phenomenon (Frissen, 2021), where different mechanisms operate in different ways for different people in different contexts (Borum, 2011). This report presents the main theories and ways radical groups influence and attract individuals online, and the most common tools and strategies governments use to counter its impact.

Islamic State videos have often been associated with savage violence and beheadings. An in-depth scrutiny however reveals another striking feature: that female bodies are absent, blurred or mute. Examining a few Islamic State videos in depth, the article suggests that the invisibility of women in tandem with the ostentatious visibility of male bodies enable gendered and embodied spectators to indulge in homoerotic as well as heterosexual imaginaries. In contrast to studies on visual security and online radicalization which assert that images affect an audience, this article focuses on the interaction between video and audience and argues that spectators are not only rational and emotional but embodied and gendered as well. Islamic State videos do not only attract western foreign fighters through religious–ideological rhetoric or emotional impact but also through gendered forms of pleasure and desire that enable carnal imagination and identification. The article probes the analytical purchase of carnal aesthetics and spectatorship.

Summary Report on conference organized by the George C. Marshall European Center for Security Studies in Cooperation with the Royal Jordanian National Defence College.

This article examines algorithmic content moderation, using the moderation of violent extremist content as a specific case. In recent years, algorithms have increasingly been mobilized to perform essential moderation functions for online social media platforms such as Facebook, YouTube, and Twitter, including limiting the proliferation of extremist speech. Drawing on Katherine Hayles’ concept of “cognitive assemblages” and the Critical Security Studies literature, we show how algorithmic regulation operates within larger assemblages of humans and non-humans to influence the surveillance and regulation of information flows. We argue that the dynamics of algorithmic regulation are more liquid, cobbled together and distributed than it appears. It is characterized by a set of shifting human and machine entities, which mix traditional surveillance methods with more sophisticated tools, and whose linkages and interactions are transient. The processes that enable the consolidation of knowledge about risky profiles and contents are, therefore, collective and distributed among humans and machines. This allows us to argue that the cognitive assemblages involved in content moderation become a cobbled space of preemptive calculation.

The Internet poses a number of challenges for academics. Internet specificities such as anonymity, the decontextualisation of discourse, the misuse or non-use of references raise methodological questions about the quality and the authenticity of the data available online. This is particularly true when dealing with extremist groups and grass-root militants that cultivate secrecy. Based on a study of the far-right on Twitter, this article explores these methodological issues. It discusses the qualitative indicators we have developed to determine whether a given Twitter account should be included in the sample or not. By using digital traces drawn from profiles, interactions, content and through other visual information, we recontextualize user’s profile and analyze how digital traces participate in providing far right ideas with a wider representation.