Understanding the Community's Perceptions Towards Online Radicalisation: An Exploratory Analysis

IF 0.2 Q4 POLITICAL SCIENCE International Journal of Cyber Warfare and Terrorism Pub Date : 2022-01-01 DOI:10.4018/ijcwt.297860
Loo Seng Neo
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Abstract

This study seeks to understand the community’s perceptions towards detecting signs of online radicalisation and examine whether different community members would exhibit different levels of understanding. A 57-item survey was administered to 160 undergraduates from Nanyang Technological University (NTU) and 160 Amazon Mechanical Turk (MTurk) workers. Based on the ratings of the 42 online radicalisation indicators identified by Neo (2020), two-factor analyses were separately conducted using oblique rotation to undercover a four-factor structure for the NTU sample and a three-factor solution for the MTurk sample. The results revealed valuable insights into how community members would identify terrorist threats. Furthermore, the survey revealed differences in the participants’ views on the role of the internet in radicalisation pathways and their perceptions regarding various counter-terrorism strategies. Together, the findings would contribute to the discussion of how law enforcement could better engage and work together with the community members to detect terrorist threats.
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理解社区对网络激进化的看法:一项探索性分析
本研究旨在了解社区对检测在线激进化迹象的看法,并检查不同的社区成员是否会表现出不同程度的理解。本研究对来自南洋理工大学的160名本科生和亚马逊土耳其机械公司的160名员工进行了57项问卷调查。根据Neo(2020)确定的42个在线激进化指标的评级,分别使用倾斜旋转进行双因素分析,以揭示NTU样本的四因素结构和MTurk样本的三因素解决方案。结果揭示了社区成员如何识别恐怖主义威胁的宝贵见解。此外,调查还揭示了参与者对互联网在激进化途径中所起作用的看法以及他们对各种反恐战略的看法的差异。总之,这些发现将有助于讨论执法部门如何更好地与社区成员接触和合作,以发现恐怖主义威胁。
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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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