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Using a unique dataset of 227 convicted UK-based terrorists, this report fills a large gap in the existing literature. Using descriptive statistics, we first outline the degree to which various online activities related to radicalisation were present within the sample. The results illustrate the variance in behaviours often attributed to ‘online radicalisation’. Second, we conducted a smallest-space analysis to illustrate two clusters of commonly co-occurring behaviours that delineate behaviours from those directly associated with attack planning. Third, we conduct a series of bivariate and multivariate analyses to question whether those who interact virtually with like-minded individuals or learn online, exhibit markedly different experiences (e.g. radicalisation, event preparation, attack outcomes) than those who do not.

This article contributes to the growing body of knowledge on loneactor terrorism with the incorporation of closed-source data. The analyses presented investigate the antecedent behaviors of U.K.- based lone-actor terrorists leading up to their planning or conducting a terrorist event. The results suggest that prior to their attack or arrest the vast majority of lone-actor terrorists each demonstrated elements concerning (a) their grievance, (b) an escalation in their intent to act, (c) gaining capability—both psychologically and technically and (d) attack planning. The results also disaggregate our understanding of lone-actor terrorists in two ways. First, we compare the behaviors of the jihadist actors to those of the extreme-right. Second, we visualize Borum’s (2012) continuums of loneness, direction, and motivation. Collectively the results provide insight into the threat assessment and management of potential lone actors

The Islamic State of Iraq and Syria (ISIS)’s flagship English-language magazine, Dabiq, is a puzzle. The magazine is not, despite appearances, primarily designed for direct recruiting efforts or inciting violence against the West. In fact, the primary audiences of Dabiq are English-speaking second generation Muslims or converts, Western policymakers, and a third group of current or would-be members of ISIS who are not integrating with the organization itself. The third audience—those members who are failing to function within the organization—is strange to include in an English-language magazine. Why publish organizational weaknesses, in English? One possibility for this puzzle is that the fundamentalist hermeneutics of ISIS is reflected in their own media efforts. One of the assumptions that ISIS holds about their sacred texts is that each text carries a single meaning that reflects the author’s original intent. There might be multiple applications of that intent, but each text can only have one intent, and therefore one meaning. Following this logic, a message meant for one person is unlikely to be of utility for another, and so this may be why ISIS exposes their weaknesses as part of the process of correcting their own members.

Technical solutions can be important when key communicators take on the task of making sense of social media flows during crises. However, to provide situation awareness during high-stress assignments, usability problems must be identified and corrected. In usability studies, where researchers investigate the user-friendliness of a product, several types of data gathering methods can be combined. Methods may include subjective (surveys and observations) and psychophysiological (e.g. skin conductance and eye tracking) data collection. This chapter mainly focuses on how the latter type can provide detailed clues about user-friendliness. Results from two studies are summarised. The tool tested is intended to help communicators and journalists with monitoring and handling social media content during times of crises. Book Edited by Harald Hornmoen and Klas Backhoem.

In this paper, we characterize the content and discourse on BitChute, a social video-hosting platform. Launched in 2017 as an alternative to YouTube, BitChute joins an ecosystem of alternative, low content moderation platforms, including Gab, Voat, Minds, and 4chan. Uniquely, BitChute is the first of these alternative platforms to focus on video content and is growing in popularity. Our analysis reveals several key characteristics of the platform. We find that only a handful of channels receive any engagement, and almost all of those channels contain conspiracies or hate speech. This high rate of hate speech on the platform as a whole, much of which is anti-Semitic, is particularly concerning. Our results suggest that BitChute has a higher rate of hate speech than Gab but less than 4chan. Lastly, we find that while some BitChute content producers have been banned from other platforms, many maintain profiles on mainstream social media platforms, particularly YouTube. This paper contributes a first look at the content and discourse on BitChute and provides a building block for future research on low content moderation platforms.

Over the past few years, a number of new “fringe” communities, like 4chan or certain subreddits, have gained traction on the Web at a rapid pace. However, more often than not, little is known about how they evolve or what kind of activities they attract, despite recent research has shown that they influence how false information reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web’s information ecosystem. In August 2016, a new social network called Gab was created as an alternative to Twitter. It positions itself as putting “people and free speech first'”, welcoming users banned or suspended from other social networks. In this paper, we provide, to the best of our knowledge, the first characterization of Gab. We collect and analyze 22M posts produced by 336K users between August 2016 and January 2018, finding that Gab is predominantly used for the dissemination and discussion of news and world events, and that it attracts alt-right users, conspiracy theorists, and other trolls. We also measure the prevalence of hate speech on the platform, finding it to be much higher than Twitter, but lower than 4chan’s Politically Incorrect board.