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In the 1990s and early 2000s, there was much discussion about the democratic and anti-democratic implications of the Internet. The latter particularly focused on the ways in which the far-right were using the Internet to spread hate and recruit members. Despite this common assumption, the American far-right did not harness the Internet quickly, effectively or widely. More recently, however, they have experienced a resurgence and mainstreaming, benefitting greatly from social media. This chapter examines the history of their use of the Internet with respect to: (1) how this developed in response to political changes and emerging technologies; (2) how it reflected and changed the status of such movements and their brand of hate; and (3) the relationship between online activity and traditional methods of communication.

Online hate and extremist narratives have been linked to abhorrent real-world events, including a current surge in hate crimes and an alarming increase in youth suicides that result from social media vitriol; inciting mass shootings such as the 2019 attack in Christchurch, stabbings and bombings; recruitment of extremists, including entrapment and sex-trafficking of girls as fighter brides; threats against public figures, including the 2019 verbal attack against an anti-Brexit politician, and hybrid (racist–anti-women–anti-immigrant) hate threats against a US member of the British royal family; and renewed anti-western hate in the 2019 post-ISIS landscape associated with support for Osama Bin Laden’s son and Al Qaeda. Social media platforms seem to be losing the battle against online hate and urgently need new insights. Here we show that the key to understanding the resilience of online hate lies in its global network-of-network dynamics. Interconnected hate clusters form global ‘hate highways’ that—assisted by collective online adaptations—cross social media platforms, sometimes using ‘back doors’ even after being banned, as well as jumping between countries, continents and languages. Our mathematical model predicts that policing within a single platform (such as Facebook) can make matters worse, and will eventually generate global ‘dark pools’ in which online hate will flourish. We observe the current hate network rapidly rewiring and self-repairing at the micro level when attacked, in a way that mimics the formation of covalent bonds in chemistry. This understanding enables us to propose a policy matrix that can help to defeat online hate, classified by the preferred (or legally allowed) granularity of the intervention and top-down versus bottom-up nature. We provide quantitative assessments for the effects of each intervention. This policy matrix also offers a tool for tackling a broader class of illicit online behaviours such as financial fraud.

This book offers a comprehensive overview and analysis of the Islamic State’s use of propaganda. Combining a range of different theoretical perspectives from across the social sciences, and using rigorous methods, the authors trace the origins of the Islamic State’s message, laying bare the strategic logic guiding its evolution, examining each of its multi-media components, and showing how these elements work together to radicalize audiences’ worldviews. This volume highlights the challenges that this sort of “full-spectrum propaganda” raises for counter terrorism forces. It is not only a one-stop resource for any analyst of IS and Salafi-jihadism, but also a rich contribution to the study of text and visual propaganda, radicalization and political violence, and international security.

The aim of this thesis is to enhance our understanding of the nature and dynamics of Islamophobic hate speech amongst followers of UK political parties on Twitter. I study four parties from across the political spectrum: the BNP, UKIP, the Conservatives and Labour. I make three main contributions. First, I define Islamophobia in terms of negativity and generality, thus making a robust, theoretically-informed contribution to the study of a deeply contested concept. This argument informs the second contribution,
which is methodological: I create a multi-class supervised machine learning classifier for Islamophobic hate speech. This distinguishes between weak and strong varieties and can be applied robustly and at scale. My third contribution is theoretical. Drawing together my substantive findings, I argue that Islamophobic tweeting amongst followers of UK parties can be characterised as a wind system which contains Islamophobic hurricanes. This analogy captures the complex, heterogeneous dynamics underpinning Islamophobia on Twitter, and highlights its devastating effects. I also show that Islamist terrorist attacks drive Islamophobia, and that this affects followers of all four parties studied here. I use this finding to extend the theory of cumulative extremism beyond extremist groups to include individuals with mainstream affiliations. These contributions feed into ongoing academic, policymaking and activist discussions about Islamophobic hate speech in both social media and UK politics.

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

(Hard)Wired for Terror is divided into two parts. In the first part, (the ‘Roots’ ) we provide a historical, semantic analysis of the concepts of radicalism, extremism and terrorism, and how they are interconnected. Furthermore, a comprehensive overview is presented of the state of the art in which the current radicalization and terrorism research is rooted. We challenge insights from individual-psychological and collective-sociological research and bind them together on a social-communicative dimension. By means of a theoretical blend of Social Movement Theory, Mediatization, and Socio-Epidemiology, we propose a new cyclic model of mediatized terrorism and radicalization. In the second part (the ‘Routes’ ), we present the results of five original empirical studies. Both message-centered and audience-centered analyses were conducted. On the basis of a detailed content analysis, we uncover the moral psychological and theological underpinnings of the ISIS’s worldview. Additionally, survey data of Belgian young adults reveal the ‘effects’ of different forms of Salafi-Jihadist communication artefacts (from beheading videos to terrorist attacks). Ultimately, the dissertation suggests a few policy recommendations with the aim to prevent radicalization and terrorism.