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VOX-Pol Blog post.

This case study explores the convergence of white extremist political ideology with mainstream political ideology on the micro-blogging platform Twitter – a phenomenon termed “inter-ideological mingling”. Exploring the spread of white extremism in the digital environment can provide insight into the growth of hate groups in the physical environment. A sample of 4800 tweets was examined through hierarchical cluster analysis and textual analysis. Several pieces of evidence were found supporting inter-ideological mingling. Cluster analysis shows that extremist terms are not isolated from terms found in mainstream political discourse. Textual analysis of individual tweets provides evidence for five strategies of inter-ideological mingling: joining, blending, piggybacking, backstaging, and narrating.

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.

The article explores Far Cry 5’s commentary on the rise of the radical right, domestic terrorism, and extremism in America. The game’s two primary modes for this narrative critique involve its use of Christian symbolism and its exploration of doomsday prepper culture. What emerges from this analysis is that Far Cry 5 provides a harrowing reckoning in the rise of extremist thought in this country and its ramifications, one that is a timely reflection of current American culture. In Far Cry 5, America becomes the next great empire poised to fall throughout the game and finally, in its tense final sequences, succumbs to nuclear annihilation.

ISIS and other international terrorist organizations rely on the Internet to disseminate their extremist rhetoric and to recruit people to their cause, particularly through popular online social media applications. Any meaningful counterterrorism strategy must, therefore, account for the ways in which terrorist organizations use the Internet to prey on young, manipulable minds who are drawn to radical ideas and propaganda and to the desire to serve a cause larger than themselves. This article outlines the ways in which extremist organizations use the Internet to ensnare new recruits, analyzes the implications of cyber-recruitment on existing counterterrorism techniques, and suggests ways in which the U.S. government can work with Internet service providers and other major cyber corporations to better address this growing threat.

Does the URL referral structure of websites lead users into ‘rabbit holes’ of unreliable content? Past work suggests algorithmic recommender systems on sites like YouTube lead users to view more unreliable content. However, websites without algorithmic recommender systems have financial and political motivations to influence the movement of users, potentially creating browsing rabbit holes. We address this gap using browser telemetry that captures referrals to a large sample of domains rated as reliable or unreliable information sources. Our results suggest the incentives for unreliable sites to retain and monetise users create rabbit holes. After landing on an unreliable site, users are very likely to be referred to another page on the site. Further, unreliable sites are better at retaining users than reliable sites. We find less support for political motivations. While reliable and unreliable sites are largely disconnected from one another, the probability of traveling from one unreliable site to another is relatively low. Our findings indicate the need for additional focus on site-level incentives to shape traffic moving through their sites.