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Lone Actor Terrorist Attack Planning and Preparation: A Data-Driven Analysis

Schuurman, B; Bakker, E; Gill, P; Bouhana, N; (2018) Lone Actor Terrorist Attack Planning and Preparation: A Data-Driven Analysis. Journal of Forensic Sciences , 63 (4) pp. 1191-1200. 10.1111/1556-4029.13676. Green open access

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Abstract

This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation. A codebook of 198 variables related to different aspects of pre‐attack behavior is applied to a sample of 55 lone actor terrorists. Data were drawn from open‐source materials and complemented where possible with primary sources. Most lone actors are not highly lethal or surreptitious attackers. They are generally poor at maintaining operational security, leak their motivations and capabilities in numerous ways, and generally do so months and even years before an attack. Moreover, the “loneness” thought to define this type of terrorism is generally absent; most lone actors uphold social ties that are crucial to their adoption and maintenance of the motivation and capability to commit terrorist violence. The results offer concrete input for those working to detect and prevent this form of terrorism and argue for a re‐evaluation of the “lone actor” concept.

Type: Article
Title: Lone Actor Terrorist Attack Planning and Preparation: A Data-Driven Analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/1556-4029.13676
Publisher version: https://doi.org/10.1111/1556-4029.13676
Language: English
Additional information: This is an Open Access article published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10024831
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