Clemmow, Caitlin;
Bouhana, Noémie;
Marchment, Zoe;
Gill, Paul;
(2022)
Vulnerability to radicalisation in a general population: a psychometric network approach.
Psychology, Crime & Law
10.1080/1068316x.2022.2027944.
(In press).
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Abstract
A public health approach to countering the threat from extremism aims to manage vulnerability before behaviour escalates to require involvement from the criminal justice system. Fundamental to applying a public health approach is understanding how risk (and protective) factors can be modified, in other words, the functional roles of these factors. To unpack the functional roles of risk factors, a more dynamic approach to modelling the complex relationships between factors is needed. In the present study we surveyed a representative sample of the UK general population (n = 1500) where participants self-reported risk factors and indicators for vulnerability to radicalisation. Operationalising analytical guidance from a Risk Analysis Framework (RAF), we applied psychometric network modelling to visualise the relationships among risk factors relating to individual-level propensities, situational influences, and exposure to extremism-enabling environments. We present our results as a series of network graphs and discuss (a) how risk factors ‘cluster’ or ‘co-occur’, (b) the most influential risk factors which may be important for intervention and prevention, and (c) ‘risk pathways’ which suggest potential putative risk and/or protective factors. We present our findings as evidence for a public health approach to countering the threat from extremism.
Type: | Article |
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Title: | Vulnerability to radicalisation in a general population: a psychometric network approach |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1080/1068316x.2022.2027944 |
Publisher version: | https://doi.org/10.1080/1068316X.2022.2027944 |
Language: | English |
Additional information: | This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
Keywords: | Network, risk factors, radicalisation, extremism, public health, vulnerability |
UCL classification: | 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 UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10144374 |
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