Work

Identifying Distinct Types of Internet Use that Predict the Likelihood of Planning or Committing a Terrorist Attack: Findings from an Analysis of Individuals Convicted on Terrorism(-related) Charges in England and Wales

Year: 2025

Type: article

Abstract: Previous research has documented that the internet plays an increasingly important role in facilitating involvement in terrorism. However, the level of specificity of this literature is low. Advancing current insights, we examined how three concrete examples of active (i.e., generate/disseminate terrorist ideologies/interact with co-ideologues) and two examples of passive (i.e., learning about terrorist ideologies/actors; learning tactical information) internet use are related to distinct distal and proximal dynamics of radicalisation. The latter include engagement with extremist ideas/actors, adopting an extremist mindset, and having the capability to commit an act of terrorism. Importantly, we assessed associations between the different types of internet use and the likelihood of having planned/committed a terrorist attack. We analysed a unique dataset based on closed-source risk assessment reports of individuals convicted of terrorism(-related) offenses in England and Wales (N = 377). Results of this secondary data analysis showed that the assessed internet use behaviours reflected three repertoires: (1) learning about tactical information and terrorist ideologies/actors; (2) only learning about terrorist ideologies/actors; (3) active internet use and learning about terrorist ideologies/ actors. Evidence of the first repertoire (1) was (compared to the other two, (2) (3)) associated with a higher likelihood of having planned/committed an act of terrorism. Additionally, levels of capability were higher if individuals learnt both tactical and ideological information online (1) compared to using the internet actively and browsing content about terrorist ideologies/actors (3). Individuals characterised by either internet use repertoire did, however, not vary significantly regarding their levels of engagement with extremist ideas and actors and the degree to which they had developed an extremist mindset. The results can inform terrorist/violent extremist risk assessment.

Source: Computers in Human Behavior

DOI: 10.1016/j.chb.2025.108646

Authors: Sandy Schumann, Jonathan Kenyon, Jens Binder

Institutions: University College London, HM Prison and Probation Service, Nottingham Trent University

Language: English

Topic: Terrorism, Counterterrorism, and Political Violence

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Estimated APC paid: $3,780