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This paper uses a computer-based frequency analysis to present an ideological discourse analysis of extremist ideologies in Daesh discourse. More specifically, by using a computer-assisted text analysis, the paper attempts to investigate the hidden extremist ideologies beyond the discourse of the first issue of Rumiyah, one of the main digital publications of Daesh. The paper’s main objectives are to expose hidden ideologies beyond the mere linguistic form of discourse, to offer better linguistic understanding of the manipulative use of language in religious discourse, and to highlight the relevance of using a computer-based frequency analysis to discourse studies and corpus linguistics. The paper also employs van Dijk’s ideological discourse analysis, by adopting his positive self-presentation and negative other-presentation strategies. Findings reveal that Daesh discourse in Rumiyah is rhetorically structured to hide the manipulative ideologies of its users, which in turn functions to reformulate the social, political and religious attitudes of its readers.

A better understanding of how support evolves online for undesirable behaviors such as extremism and hate, could help mitigate future harms. Here we show how the highly irregular growth curves of groups supporting two high-profile extremism movements, can be accurately described if we generalize existing gelation models to account for the facts that the number of potential recruits is timedependent and humans are heterogeneous. This leads to a novel generalized Burgers equation that describes these groups’ temporal evolution, and predicts a critical influx rate for potential recruits beyond which such groups will not form. Our findings offer a new approach to managing undesirable groups online – and more broadly, managing the sudden appearance and growth of large macroscopic aggregates in a complex system – by manipulating their onset and engineering their growth curves.

ISD has analysed 100 websites linked to the far right and white supremacist communities to establish which tools, services or platforms are most commonly in use. This small sample is intended only as a snapshot of the broader landscape, but nonetheless
reveals some interesting trends which are worthy of discussion.

Popular music research has explored digital technologies’ potential for democratizing music consumption, distribution, and production. This article, however, focuses on the anti-democratic implications of digitalization for popular music by exploring discussions of music in 1,173 posts in 6 Alt-Right forums, from 2010–2018. It demonstrates that, first, owing to algorithmic architecture, interpretations of musical politics are mutually reinforcing in these spaces. Second, a large degree of musical “omnivorousness” in these forums is both a feature of contemporary far-right strategy and a consequence of digitalization. Third, by articulating “reactionary democratic” principles through music criticism, these movements more easily evade regulation.

The Internet and online platforms have become a useful instrument for modern terrorists’ recruitment. Numerous studies explored the online recruitment of Jihadi groups and especially of the Islamic State (ISIS) that managed to recruit over 40,000 fighters from as many as 90 countries. Yet, these studies, focusing mainly on the online platforms and the appeals used, lacked a theoretical framework that can serve the search for the factors explaining process and its success. In this chapter we suggest that the notion of motivational imbalance as a key persuasive appeal in terrorist online recruitment can provide the needed psychological theoretical concept to explain their recruitment strategy. To do so, we examine terrorist online recruitment and its features (stages, type of messages, content of the messages, characteristics of the targets) and relate it to the notion of motivational imbalance. Then we explore the trend of ‘narrowcasting’ (focusing persuasive communication on selected target audiences) and how well it combines with motivational imbalance in the process of recruitment by terrorist groups. Finally, we demonstrate how motivational imbalance has been used in recent Jihadi recruitment campaigns. The evidence presented comes from the contents of recruitment campaigns as well as from the testimonies of recruits.

On July 1, 2021, a new social network modeled after Twitter was launched by former Trump spokesman Jason Miller, with assistance and promotion by exiled Chinese businessman Miles Guo, form Trump strategist Steve Bannon, and others. Today, the Stanford Internet Observatory is releasing the first comprehensive analysis of the new platform. We chart the growth of Gettr over its first month, examining the user community, content, structure and dynamics. We also highlight some of the perils of launching such a network without trust and safety measures in place: the proliferation of gratuitous adult content, spam and, unfortunately, child exploitation imagery, all of which could be caught by cursory automated scanning systems.