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Due to recent rises in extremism across the globe (Dean et al. in J Polic Intell Count Terror 11:121–142, 2016; Le Roux in Responding to the rise in violent extremism in the Sahel. Africa Center For Strategic Studies, 2019, p. 26) and (Jones in Int Secur 32:7–40, 2008), governments and law enforcement organisations, such as the police, have looked to new strategies to counter violent extremism (Russell and Theodosiou in Counter-extremism: a decade on from 7/7. Quilliam Foundation, 2015). Specifically, there has been an expanse of the field now widely known as Countering Violent Extremism (CVE). CVE is a highly contested area; however, upon conducting a literature review, Inserra (Revisiting efforts to counter violent extremism: leadership needed. The Heritage Foundation, 2015, p. 2) helpfully reduced the term CVE down to descriptions of interventions intended to “stop individuals from radicalizing”. LaFree and Freilich (Annu Rev Criminol 2:383–404, 2019) distinguish counter-terrorism from CVE, they describe counter-terrorism as military responses (‘hard’) as opposed to non-military responses (‘soft’), referred to as countering violent extremism strategies. This chapter contends that, although counter narratives tend to lack academic standing, there does appear to be a widespread acceptance that narratives influence individuals’ beliefs. Therefore, in the absence of other more effective methods of CVE online, it is argued that counter-narratives (CN) should be used in informed ways by organisations such as the police (Monaghan in Crime Media Cult 18(1):21–39, 2020). This chapter will compare academic understandings of narrative and communication alongside examples of counter narratives issued against them. It will then assess the impact of such strategies and potential alternatives for CN.

Over recent years, there have been rapid advances in information and communication technology. The Internet of Things (IoT), an instance of such technologies, has brought numerous benefits to societies, revolutionising the lifestyles of many individuals living in these societies. Whilst advances in the IoT undoubtedly offer numerous benefits, they simultaneously present a wide range of new security threats that can have devastating impacts on societies.

This chapter aims to examine security risks posed by or against the IoT ecosystem from a counterterrorism perspective. To this end, the chapter will briefly examine the potential implications of the IoT phenomenon this for terrorism and hence counterterrorism.

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.

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.

VOX-Pol Blog post.

This paper explores various Social Network Analysis (SNA) techniques in order to identify a range of potentially ‘important’ members of Islamic Networks within Dark Web Forums. For this experiment, we conducted our investigation on five forums collected in previous work as part of the DarkWeb Forum portal and built upon the tool support created in our previous research in order to visualise and analyse the network. Whilst existing work attempts to identify these structures through state-of-the-art Computational Linguistic techniques, our work relies on the communication metadata alone. Our analysis involved first calculating a range of SNA metrics to better understand the group members, and then apply unsupervised learning in order to create clusters that would help classify the Dark Web Forums users into hierarchical clusters. In order to create our social networks, we investigated the effect of repeated author resolution and various weighting schemes on the ranking of forum members by creating four social networks per forum and evaluating the correlation of the top n users (for n = 10; 20; 30; 40; 50 and 100). Our results identified that varying the weighting schemes created more consistent ranking schemes than varying the repeated author resolution.