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In response to calls for more empirical studies in organizational communication to further develop the Four Flows Model of CCO, this analysis examines Daesh’s use of visual messaging strategies as a means of institutional positioning in the global communications environment. To do so, the study analyzes over 2000 religious and state images displayed in the group’s English/Arabic publications. The findings highlight the critical role of both the quantity and nature of visual output in the Four Flows Model. The study also expands current understandings of institutional positioning over time, through organizational expansion/constraint, and in relation to various targeted online communities.

Social media platforms have become extremely popular in the last fifteen years. Almost half of the world population has a social media account. This has made social media extremely attractive to extremist groups. Recent studies have shown that extremists use social media platforms for violent radicalisation. They take advantage of the interactional nature of these platforms to recruit and influence individuals at risk of radicalisation. Through social media interactions, individuals at risk of radicalisation develop a sense of shared identity which appears to be an important driver in the process of violent radicalisation. Although many studies have highlighted the importance of social media interactions in online radicalisation, it seems that none of these studies has analysed these interactions from an interactional perspective. This paper aims to fill this gap in violent radicalisation research. It proposes to use Conversation Analysis (CA) for the examination of interactions occurring between extremists and potential recruits on social media platforms. More importantly, this article will show the benefits of using CA for the analysis of these interactions.

As we seek to broaden and diversify our membership, and as the nature of terrorist and violent extremist activity online evolves, GIFCT must focus on developing rights-based technical solutions that are thoughtful, practical, and scalable. In our view, hash-sharing is an innovative and important first step in GIFCT’s efforts to share information among member companies and thereby promote more effective content moderation. But hashsharing is only one piece of the puzzle. When it comes to technical solutions and industry collaboration to address terrorist and violent extremist exploitation of the internet, much more remains to be done. GIFCT looks forward to working with our diverse stakeholder community to advance this collaborative effort in service of a safer and more open internet
and world.

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.