Andrew Staniforth
A Framework for the Investigation and Modeling of Online Radicalization and the Identification of Radicalized Individuals
Staniforth, Andrew; Bayerl, Petra Saskia; Akhgar, Babak; Brewster, Ben; Johnson, Kayleigh
Authors
Petra Saskia Bayerl
Babak Akhgar
Dr. BEN BREWSTER Ben.Brewster@nottingham.ac.uk
Assistant Professor in Informationsystems
Kayleigh Johnson
Abstract
In this chapter we present an empirically-based theory-independent framework of online radicalization. The framework provides a systematic basis for (a) the representation of causal mechanisms of online radicalization and (b) the identification of radicalized individuals. Its application lies in informing models of online radicalization, guiding the formulation of policies, and identifying gaps in our current knowledge of online radicalization.
Citation
Staniforth, A., Bayerl, P. S., Akhgar, B., Brewster, B., & Johnson, K. (2014). A Framework for the Investigation and Modeling of Online Radicalization and the Identification of Radicalized Individuals. In Emerging Trends in ICT Security (539-547). Elsevier. https://doi.org/10.1016/B978-0-12-411474-6.00033-5
Online Publication Date | Nov 8, 2013 |
---|---|
Publication Date | 2014 |
Deposit Date | Jan 21, 2020 |
Pages | 539-547 |
Book Title | Emerging Trends in ICT Security |
Chapter Number | 33 |
ISBN | 9780124114746 |
DOI | https://doi.org/10.1016/B978-0-12-411474-6.00033-5 |
Public URL | https://nottingham-repository.worktribe.com/output/3774901 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/B9780124114746000335 |
You might also like
Policing County Lines: Impact of Covid-19
(2022)
Report
The Impact of COVID-19 on Child Criminal Exploitation
(2020)
Report
Building Slavery-free Communities: A Resilience Framework
(2020)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search