Worldwide social movements are increasingly engendering most threats a nation-state faces internally and externally, which can have long-term implications for its national security. Research within available literature on predicting social movement threats to nation-state security revealed a significant gap. This research helped address the gap by investigating the possibility of United States strategic security practitioners developing a structured analytical model using social media content. The investigation focused on finding social movement themes associated with movements that have posed a national security threat in literature, assessing the ability to observe those themes in social movement social media content, and exploring structured analytical techniques to develop a model. This research revealed it is possible to observe themes from literature in social media content, as six out of the six primary themes observed in the literature appeared in the collected data. Exploring the paired comparison and weighted ranking structured analytical techniques also revealed distinct possibilities in predicting emerging threats. Attaining the ability to predict potential threats at the level of specificity required for a nation-state to implement non-violent pre-emptive actions to reduce or eliminate the threat before it becomes a reality would be a significant advancement in the field of strategic security. This research did not produce a fully vetted model using social movement themes and social movement social media content; however, pursuing research to explore the possibilities further and develop one is the key recommendation resulting from this research effort.
|Advisor:||Wenger, Anthony N.|
|Commitee:||Eisenfeld, Beth L., Nimon, Harry I.|
|School:||National American University|
|School Location:||United States -- South Dakota|
|Source:||DAI-A 82/10(E), Dissertation Abstracts International|
|Subjects:||Business administration, Sociology|
|Keywords:||National security, Predictive analytics, Social media, Social movements, Structured analytical model, Threats|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be