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While the radical right is relatively successful on social media, only a fraction of its supporters become activists offline. Why do some individuals become offline activists in radical right organizations, while others prefer to limit their support to online spaces? Following an inductive analysis of interviews with activists and supporters of a radical right organization, this study points to the importance of going beyond classical explanations for activism by focusing on the impact of, and relationship between, group identification and stigma for mobilization. It shows that activists who identify with the organization and consider it stigmatized are motivated to participate in protest actions to speak out in front of this perceived injustice. By contrast, supporters who question the organization’s legitimacy in the face of stigma engage with the organization on social media and are motivated by a desire to keep a low profile and to avoid being openly associated with stigmatized actors.

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.

This paper examines the counter-violent extremism and anti-terrorism measures in Australia, China, France, the United Kingdom and the United States by investigating how governments leveraged internet intermediaries as their surrogate censors. Particular attention is paid to how political rhetoric led to legislation passed or proposed in each of the countries studied, and their respective restrictive measures are compared against the recommendations specified by the United Nations Special Rapporteur on the Promotion and Protection of the Right to Freedom of Opinion and Expression. A typology for international comparison is proposed, which provides further insights into a country’s policy focus.

Most analyses of far-right communication on social media focus on one specific platform, while findings are generalized. In this study, I argue that the far right’s use of social media depends on technology affordances – the linkage between platform design and usage – and, thus, might not always be generalizable. After discussing six affordances – persistence, scalability, replicability, connectivity, searchability, and identifiability – I apply them to studies about the far right on Facebook, Twitter, Instagram, YouTube, and Telegram in a systematic literature review. I conclude that most research focuses on aspects linked to connectivity, scalability, and replicability, while persistence, searchability, and identifiability are barely researched so far. I further discuss shortcomings and possibilities for future research to consider aspect of technology affordances.

Research examining radical visual communication and its manifestation on the trending platform TikTok is limited. This paper presents a novel methodological framework for studying mobilization strategies of far-right groups on TikTok, employing a mixed-method approach that combines manual annotation, unsupervised image classification, and named-entity recognition to analyze the dynamics of radical visuals at scale. Differentiating between internal and external mobilization, we use popularity and engagement cues to investigate far-right mobilization efforts on TikTok within and outside their community. Our findings shed light on the effectiveness of unsupervised image classification when utilized within a broader mixed-method framework, as each observed far-right group employs unique platform characteristics. While Conspiracists flourish in terms of overall popularity and internal mobilization, nationalist and protest content succeeds by using a variety of persuasive visual content to attract and engage external audiences. The study contributes to existing literature by bridging the gap between visual political communication at scale and radicalization research. By offering insights into mobilization strategies of far-right groups, our study provides a foundation for policymakers, researchers, and online platforms to develop proactive measures to address the risks associated with the dissemination of extremist ideologies on social media.