Developing a Structured Analytical Model to Anticipate Social Movement National Security Threats

Q2 Social Sciences Journal of Strategic Security Pub Date : 2022-10-01 DOI:10.5038/1944-0472.15.3.2048
Brigit L Davis, A. Wenger
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Abstract

For most of the 2000s, experts assessed that social movements across the globe were increasingly engendering most of the threats nation-states faced internally and externally. These assessments and extensive literature on social movement use of social media underpinned a doctoral research effort that helped address a noted literature gap in predicting social movement threats via social media. The research results showed social movement themes are observable in social media content and, although not fully vetted, National Security practitioners can use these themes in a structured analytical model to assess the probability of a threat. This article provides an overview of the research and model in the dissertation Anticipating Social Movement National Security Threats: Social Media Content’s Potential in Developing a Structure Analytical Model.
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建立预测社会运动国家安全威胁的结构化分析模型
在本世纪头十年的大部分时间里,专家们评估称,民族国家面临的内部和外部威胁,越来越多是由全球各地的社会运动造成的。这些评估和大量关于社会运动使用社交媒体的文献支持了博士研究工作,帮助解决了通过社交媒体预测社会运动威胁的显著文献差距。研究结果表明,社会运动主题在社交媒体内容中是可以观察到的,尽管没有得到充分审查,但国家安全从业人员可以在结构化分析模型中使用这些主题来评估威胁的可能性。本文概述了《预测社会运动国家安全威胁:社交媒体内容在发展结构分析模型中的潜力》一文的研究和模型。
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来源期刊
Journal of Strategic Security
Journal of Strategic Security Social Sciences-Law
CiteScore
1.30
自引率
0.00%
发文量
26
审稿时长
12 weeks
期刊介绍: The Journal of Strategic Security (JSS) is a double-blind peer-reviewed professional journal published quarterly by Henley-Putnam School of Strategic Security with support from the University of South Florida Libraries. The Journal provides a multi-disciplinary forum for scholarship and discussion of strategic security issues drawing from the fields of global security, international relations, intelligence, terrorism and counterterrorism studies, among others. JSS is indexed in SCOPUS, the Directory of Open Access Journals, and several EBSCOhost and ProQuest databases.
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