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Recent studies suggest that empathy induced by narrative messages can effectively facilitate persuasion and reduce psychological reactance. Although limited, emerging research on the etiology of radical political behavior has begun to explore the role of narratives in shaping an individual’s beliefs, attitudes, and intentions that culminate in radicalization. The existing studies focus exclusively on the influence of narrative persuasion on an individual, but they overlook the necessity of empathy and that in the absence of empathy, persuasion is not salient. We argue that terrorist organizations are strategic in cultivating empathetic-persuasive messages using audiovisual materials, and disseminating their message within the digital medium. Therefore, in this paper we propose a theoretical model and analytical framework capable of helping us better understand the neurocognitive process of digital radicalization.

This Element aims to better understand the role of the internet in the radicalization process, focusing on how online factors contribute to self-radicalization. Specifically, it examines the neurocognitive process of online radicalization by analyzing the impact of terrorist and extremist propaganda videos on individuals’ cognitive empathy using electroencephalography (EEG). Ultimately, this research aims to provide a more comprehensive understanding of online radicalization and the psychological effects of exposure to extremist content on the internet.

Terrorist organizations have consistently demonstrated their ability to evolve alongside society’s ever-advancing technological landscape. Rather than relying on dependable tactics tested over several decades, terrorist organizations’ willingness to innovate has led to expanded capabilities to inflict harm upon society. The most significant technological advancement of the twenty first century is artificial intelligence (AI). Although AI will be a catalyst for societal transformation, nefarious actors will undoubtedly attempt to leverage the technology’s vast capabilities for malicious purposes, especially terrorist organizations. However, while prior research has systematically reviewed the literature to establish the state-of-the-art in AI-assisted counterterrorism, there is a noticeable knowledge gap surrounding terrorists’ use of AI in their operations. The present study employs a systematic literature review methodology to comprehensively compile and review existing scientific knowledge on the convergence of AI and terrorism. A thorough primary search across five databases and a secondary search in Google Scholar yielded twenty-eight sources meeting our inclusion criteria. The review reveals several areas where AI will likely augment current terrorist activities, including propaganda and recruitment, offensive cyber operations, attack tactics and strategies, and various day-to-day undertakings. This systematic literature review elucidates these areas of technological advancement, provides implications for policy and practice, and offers directions for future research in this critical field.

We announced this inquiry into hate crime and its violent consequences in early July 2016. Our decision to undertake the inquiry followed the murder of Jo Cox MP in June in the lead-up to the EU referendum. There was also evidence of an increase in the number of attacks on people from ethnic minorities and of non-British nationality, including on their community centres and places of worship, immediately following the referendum. In addition, our inquiry into antisemitism was already under way, which was raising serious questions about how to address wider issues around the actions of those holding extremist or fixated views. It therefore seemed particularly timely and necessary to launch this
inquiry. We have received a large volume of written evidence. We have taken oral evidence on a wide range of issues including Islamophobia, misogyny, far-right extremism, the role of social media in hate crime and the particular issues faced by Members of Parliament in relation to hate crime and its violent manifestations. Our witnesses have included
academics, community organisations, social media companies, police forces and their representative organisations, the principal Deputy Speaker of the House of Commons, and Ministers. We are grateful to everyone who has contributed to the inquiry.

This study uses a quantitative natural-language processing tool, the Linguistic Inquiry Word Count (LIWC), to evaluate the content of all Q drops over time, focusing on language themes associated with three core principles of psychological influence: cognitive, emotional, and social processes. Before detailing this study, we situate it within the broader contexts of national security and the social psychology of influence literature.

Although it is understudied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world. Recently, YouTube’s outsize influence has sparked concerns that its recommendation algorithm systematically directs users to radical right-wing content. Here we investigate these concerns with large scale longitudinal data of individuals’ browsing behavior spanning January 2016 through December 2019. Consistent with previous work, we find that political news content accounts for a relatively small fraction (11%) of consumption on YouTube, and is dominated by mainstream and largely centrist sources. However, we also find evidence for a small but growing “echo chamber” of far-right content consumption. Users in this community show higher engagement and greater “stickiness” than users who consume any other category of content. Moreover, YouTube accounts for an increasing fraction of these users’ overall online news consumption. Finally, while the size, intensity, and growth of this echo chamber present real concerns, we find no evidence that they are caused by YouTube recommendations. Rather, consumption of radical content on YouTube appears to reflect broader patterns of news consumption across the web. Our results emphasize the importance of measuring consumption directly rather than inferring it from recommendations.