Online Library

There has been a notable increase in support for far-right ideologies across the West. The seriousness of this threat has been acknowledged by the UK government which has banned certain far-right groups using terrorism legislation. While criminological theories have been useful in explaining general criminality, they have been under-utilised in explaining extremism and terrorism. Agnew’s General Strain Theory, which hypothesises that negative life events increase the chance of a turn to criminality, is explored in this article alongside Control Theory. Based on a survey (N 1,138) conducted on Facebook in late 2019, we explore how strain and resilience based on participants’ gender, economic situations, life events and their use of the internet impacts individuals’ far-right extremist attitudes and behaviours. We use regression analysis to investigate the impact that strain and resilience, individuals’ gender, economic situations, individual life experiences, and their use of the internet have on their propensity to associate, engage, and support far-right ideologies and linked violence. While strain is not found to be significant, resilience, gender and the use of the internet are.

Advancements in big data analytics offer new avenues for the analysis and deciphering of suspicious activities on the internet. One promising new technology to increase the identification of terrorism threats is based on probabilistic computing. The technology promises to provide more efficient problem solutions in encryption and cybersecurity. Probabilistic computing technologies use large amounts of data, though, which raises potential privacy concerns. A study (N = 1,023) was conducted to survey public support for using probabilistic computing technologies to increase counterterrorism efforts. Overall, strong support was found for the use of publicly available personal information (e.g., personal websites). Regarding private personal information (e.g., online conversations), respondents perceived it to be more appropriate to use information from out-group members (non-American citizens) than from in-group members (American citizens). In line with a social-identity account, this form of in-group favoritism was strongest among respondents displaying a combination of strong national identities and strong privacy concerns.

This study seeks to understand the community’s perceptions towards detecting signs of online radicalisation and examine whether different community members would exhibit different levels of understanding. A 57-item survey was administered to 160 undergraduates from Nanyang Technological University (NTU) and 160 Amazon Mechanical Turk (MTurk) workers. Based on the ratings of the 42 online radicalisation indicators identified by Neo (2020), two-factor analyses were separately conducted using oblique rotation to undercover a four-factor structure for the NTU sample and a three-factor solution for the MTurk sample. The results revealed valuable insights into how community members would identify terrorist threats. Furthermore, the survey revealed differences in the participants’ views on the role of the internet in radicalisation pathways and their perceptions regarding various counter-terrorism strategies. Together, the findings would contribute to the discussion of how law enforcement could better engage and work together with the community members to detect terrorist threats.

This chapter critically analyses the impact of the Internet and associated technology on the rise in terrorist attacks across the US and Europe over the last two decades. To this end, the chapter will be focusing on jihadists’ use of the Internet, yet comparisons will also be made with the radical right. Although there exist certainly differences between the groups, there are also similarities between them, and, in turn, this chapter will address these movements as a collective. The jihadist terrorist organisations that will be analysed in this chapter will include Al-Qaeda and ISIS. The findings reveal that although the Internet has been linked to the preparation and execution of attacks, as this chapter will explore, it is difficult to establish direct cause and effect associations between the Internet and the rise in attacks in Europe and the US.

The seven articles in this special issue were selected from those delivered at a series of workshops undertaken by the European Commission H2020-funded Building Resilience Against Violent Extremism (BRaVE) Project in 2020–2021. Understanding polarization and (violent) extremism as distinct, interlinked, phenomena, the collected articles ask how online platforms can be mobilised to disrupt and reframe ideologies underpinning polarising and extremist messaging. To what extent can social media platforms serve as critical resources that contribute to building pro-social resilience? And, how can we build on what has been effective so far in terms of building online resilience, including what else might social media platforms and their users do to enhance what has already been found to be effective?

This report concerns itself with terrorist technical innovation, particularly with regards to terrorists’ incorporation of emerging technologies into their practices. More specifically, it investigates, through the elaboration of a theoretical learning framework, how terrorist groups can adopt the practices of ideological enemies operating in different security, ideological and political environments. It does so through a study of three cases of emerging technology use by Islamic State (IS) and racially and ethnically motivated violent extremists (REMVE), which shed light on why ideologically diverse groups might adopt practices from each other.