Home > Open Access Journals > JSS > Vol. 15 > No. 3 (2022)
Author Biography
Dr. Brigit Davis is a global technology and consulting company consultant with 20 years of experience in the Intelligence field. She served in the United States Air Force from 2001-2009 and has a Bachelor of Arts degree in Intelligence Studies, a Master of Arts degree in Intelligence Operations from American Military University, and a Doctorate of Strategic Security from National American University.
Dr. Anthony Wenger is a retired U.S. Army Lieutenant Colonel with over 30 years of distinguished military service. He served in various military intelligence, security, operations, and leadership positions as an active Army officer and an Army Civilian.
DOI
https://doi.org/10.5038/1944-0472.15.3.2048
Subject Area Keywords
Homeland security, Intelligence analysis, International security, National security, Social media, Social movements, Threat assessment, Violent extremism
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.
Recommended Citation
Davis, Brigit L. and Wenger, Anthony. "Developing a Structured Analytical Model to Anticipate Social Movement National Security Threats." Journal of Strategic Security 15, no. 3 (2022)
: 112-126.
DOI: https://doi.org/10.5038/1944-0472.15.3.2048
Available at:
https://digitalcommons.usf.edu/jss/vol15/iss3/7