社交媒体帖子中激进化的检测标记:来自改进德尔菲技术和文献综述的见解

Loo Seng Neo
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引用次数: 0

摘要

这项研究涉及创建可以检测社交媒体帖子中激进化的因素和指标。采用了专家知识获取过程(改进的德尔菲法)和文献回顾的并行方法。7位新加坡恐怖主义领域的主题专家评估了从6个恐怖主义风险评估工具(ERG 22+、IVP、TRAP-18、MLG、VERA-2和Cyber-VERA)中整理出来的因素。他们识别出那些与检测社交媒体帖子中的激进主义最相关的内容。对在线激进化进行了平行的文献综述,以补充专家小组的研究结果。在此过程中,推导出了12个因素及其42个可观察指标。这些因素和指标有可能指导以网络为重点的筛选工具的发展,以发现社交媒体帖子中的激进主义。
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Detecting Markers of Radicalisation in Social Media Posts: Insights From Modified Delphi Technique and Literature Review
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.
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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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