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Through existing literature and open-source materials – including academic articles, research reports, policy documents, newspaper articles, investigative journalism, government inquiries and previous relevant Radicalisation Awareness Network (RAN) Policy Support (PS) deliverables, etc. – this paper will investigate the following key questions: what is gamification of (violent) extremism, what are the current and future threats it presents to the European Union (EU), and how can it be countered?

The paper explores the role of social media on positive youth development and engagement towards peacebuilding in Pakistan. In particular, it recognizes the role of youth within the liberal peace process, hence, sustainably aiding peacebuilding efforts. The paper argues that within developing democracies, media and youth can create an environment to promote dialogue and collaborative problem-solving techniques. Furthermore, it explicates how extreme ideologists exploit social media; hence, negatively influencing the youth. With regards, the paper discusses several aspects of social media that can significantly contribute towards countering violent extremism and related narratives. Such an understanding enables us to classify the potential role of social media in involving youth in contextualized peacebuilding efforts.

This study compares the narratives and language of QAnon groups in the encrypted messaging apps Telegram and Discord to those observed in the manifestos of terrorists. Drawing on our systematic linguistic analysis of fifteen terrorist manifestos that were published in the past decade, we developed a coding scheme which traces the narratives and linguistic markers that occur in the written communication of perpetrators of political violence. In this pilot study we apply our new coding scheme to QAnon content to assess the scale and nature of violence-associated narratives within the movement. Based on 200,000 messages that we collected from the online QAnon group “Great Awakening Community” on the gaming chat application Discord, we quantitatively examine to what degree they carry the trademarks of violent terrorist manifestos that are not found in non-violent texts. We then compared the results for the Great Awakening Community to content from both a non-violent and a violent-terrorist control group. To complement our computational assessment of QAnon narrative and linguistic patterns we share ethnographic observations from ten QAnon Telegram and Discord groups with English, German, and French speaking audiences. Past research has found that identity fusion in combination with a range of mediating and moderating variables is a strong predictor of violence in groups, and this is further supported by our terrorist manifesto analysis. Our study of QAnon messages found a high prevalence of linguistic identity fusion indicators along with external threat narratives, violence-condoning group norms as well as demonizing, dehumanizing, and derogatory vocabulary applied to the out-group, especially when compared to the non-violent control group. The aim of this piece of research is twofold: (i.) It seeks to evaluate the national security threat posed by the QAnon movement, and (ii.) it aims to provide a test of a novel linguistic toolkit aimed at helping to assess the risk of violence in online communication channels.

This paper maps communication channels exploited by the Salafi-jihadist violent extremist organisations (VEOs) and their followers between March 2020 and June 2022 on The Onion Router (TOR). It argues that the true scale of digital jihadist presence on TOR has remained insignificant for years. Militant Islamists have mostly used .onion domains as backup propaganda dissemination channels, which enable content takedown policies introduced by countering violent extremism stakeholders to be circumvented. Aside from propaganda distribution, TOR attracts Salafi-jihadist VEOs and their followers for other reasons, as it facilitates anonymous communication, crowdfunding, sharing of terrorist manuals or the organisation of terrorist attacks.

The journey inside Facebook’s semiosphere revolves around the present-day controversy on how algorithms foster polarization and discord in one of the biggest and most popular social media platforms, namely, Facebook. The present work focuses on the so-called Facebook Files as a specific case study. By drawing on these investigations, the present study discusses what are the principles used by the Facebook algorithms in order to select a certain type of content and to direct attention to it, whilst generally discarding other types of content considered not enough engaging. By drawing on the perspective of the semiotics of culture, this paper makes an analogy between Ju. Lotman’s model of the “semiosphere” and the Facebook’s digital semiosphere with the goal of unpacking how the selection, diffusion, and suppression of online content is geared towards the polarization of ideas.

Since the beginning of 2020, while societies and economies around the world have struggled to cope with the realities of the COVID-19 pandemic, cyberspace has given governments, businesses, and general end-users the ability to work, play, and connect in new and innovative ways. With everything from workspaces and classrooms to family gatherings and exercise routines forced online, the Internet has enabled people across the globe to carry on and maintain a sense of normalcy during very abnormal times. However, at the same time, while the world has been focused on the health, economic, political, and social ramifications of the pandemic, terrorist organizations, fringe groups, and extremist communities around the world have become emboldened, finding opportunity to exploit the situation, incite hate, (re)mobilize, and promote their ideologies online in novel ways. These groups—which we loosely classify as malicious nonstate actors for the purposes of this research —have been primarily focused on exploiting and contributing to the diffusion of information during the pandemic for their own strategic gain.