The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Detecting Markers of Radicalisation in Social Media Posts: Insights From Modified Delphi Technique and Literature Review
|
|
Author(s): Loo Seng Neo (Home Team Behavioural Sciences Centre, Singapore & School of Social Sciences, Nanyang Technological University, Singapore)
Copyright: 2021
Volume: 11
Issue: 2
Pages: 17
Source title:
International Journal of Cyber Warfare and Terrorism (IJCWT)
Editor(s)-in-Chief: Brett van Niekerk (University of KwaZulu-Natal, South Africa)
DOI: 10.4018/IJCWT.2021040102
Purchase
|
Abstract
This study involved the creation of factors and indicators that can detect radicalization in social media posts. A concurrent approach of an expert knowledge acquisition process (modified Delphi technique) and literature review was utilized. Seven Singapore subject-matter experts in the field of terrorism evaluated factors that were collated from six terrorism risk assessment tools (ERG 22+, IVP, TRAP-18, MLG, VERA-2, and Cyber-VERA). They identify those that are of most considerable relevance for detecting radicalization in social media posts. A parallel literature review on online radicalization was conducted to complement the findings from the expert panel. In doing so, 12 factors and their 42 observable indicators were derived. These factors and indicators have the potential to guide the development of cyber-focused screening tools to detect radicalization in social media posts.
Related Content
|
Nesrine Dardouri, Abdelkader Aguir, Mounir Smida.
© 2024.
20 pages.
|
|
.
© 2024.
|
|
.
© 2024.
|
|
Tshepo Solomon Raphiri, Joey J. Jansen van Vuuren, Albertus A. K. Buitendag.
© 2023.
20 pages.
|
|
Timothy Lee Jones.
© 2023.
20 pages.
|
|
Lev Topor, Moran Pollack.
© 2022.
17 pages.
|
|
Ben Stewart S., Dhanush N., Santhosh G., Angelin Gladston.
© 2022.
24 pages.
|
|
|