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Radicalisation can take place offline as well as online. To what extent the internet plays a role remains contested. Doubtless, there are radical and extreme communities online. This report looked into the ability of artificial intelligence (AI) applications to contribute to countering radicalisation. Mapping the possibilities and limitations of this technology in its various forms, the report aims to support decision‑makers and experts navigate the noise, leading to informed decisions unswayed by the current hype.

VOX-Pol Blog post.

To accentuate which platform characteristics particularly foster radicalization and extremist dynamics, this contribution investigates the affordances of social media as delineated in contemporary literature, conducting a platform comparison encompassing Telegram, WhatsApp, and X (formerly Twitter). Based on a scoping review, 17 affordances identified from studies researching radicalization dynamics on social media were extracted and categorized. The most frequently mentioned affordances—anonymity, visibility, and collectivity—were then further analyzed concerning their contribution to radicalization and the radicalization potential of these specific platforms. The platform-comparative affordance discussion shows that, although, in principle each of the three compared platforms can foster an environment conducive to radicalization depending on user intention and usage context, the specific characteristics of each platform necessitate a nuanced consideration. On one hand, it is imperative to discern affordances differentially along various dimensions when assessing their implications (e.g., internal vs. external visibility). On the other hand, it is beneficial to consider which affordances emerge from the actualization of other affordances. For instance, collectivity can result from the interplay of several affordances, such as interactivity and anonymity, and can be referred to as a meta-affordance. Furthermore, the analysis shows that platform branding and self-presentation not only affect platform architecture and affordances but also shape users’ perceptions of the platform, thereby influencing the actualization of affordances. This was particularly noted in the literature for Telegram and increasingly for X. Specific assertions, nevertheless, are hindered by the conceptual diffusion of the affordance approach and a lack of empirical analyses directly and systematically examining platform affordances in conjunction with radicalization dynamics.

VOX-Pol Blog post.

VOX-Pol Blog post.

Exposure to radicalizing information has been associated with support for violent extremism. It is, however, unclear whether specific information use behavior, namely, a distinct pattern of incidental exposure (IE) to and active selection (AS) of radicalizing content, indicates stronger violent extremist attitudes and radical action intentions. Drawing on a representative general population sample (N = 1509) and applying latent class analysis, we addressed this gap in the literature. Results highlighted six types of information use behavior. The largest group of participants reported a near to zero probability of both IE to and AS of radicalizing material. Two groups of participants were characterized by high or moderate probabilities of incidental exposure as well as a low probability of active selection of radicalizing content. The remaining groups displayed either low, moderate, or high probabilities of both IE and AS. Importantly, we showed between-group differences regarding violent extremist attitudes and radical behavioral intentions. Individuals reporting near zero or high probabilities for both IE to and AS of radicalizing information expressed the lowest and strongest violent extremist attitudes and willingness to use violence respectively. Groups defined by even moderate probabilities of AS endorsed violent extremism more strongly than those for which the probability for incidental exposure was moderate or high but AS of radicalizing content was unlikely.