Social Media Monitoring

Abstract

Starting in FY 2022, the Vetting Risk Operations Center (VROC) incorporates a Publicly Available Electronic Information (PAEI) program to include social media monitoring as a national-level requirement under Trusted Workforce 2.0 and fulfills the Secretary of Defense’s imperative to leverage PAEI to identify domestic extremism, prior to and during an individual’s DoD affiliation. Leveraging PAEI also fulfills the Secretary’s requirements to improve the vetting of International Military Students who intend to or are currently receiving training within the continental U.S. The investment develops scraping, monitoring, and analysis tools for PAEI, such as social media, in support of national security eligibility determinations. PAEI has proven a high volume but unique data source to identify key behaviors that are potentially derogatory under the Allegiance, Foreign Influence, Foreign Preference, and Personal Conduct guidelines of the National Security Adjudication Guidelines. Data received from PAEI is often not found anywhere else in the course of the personnel vetting cycle. To utilize PAEI within the Department, on a national security population of ~3.6M individuals, the Department is developing a scalable, cost-effective, and automated capability. A PAEI investment will deliver a capability flexible to changing cultural conditions, policy requirements, and emerging threats, while simultaneously able to constantly monitor millions of people on hundreds of social media platforms with billions of individual data points, aggregate and curate that data, identify potential risk, and seamlessly provide notification in a digestible analytical product to a human for risk mitigation. The Risk Rating Tool (RRT) identifies individuals with high risk stressors mapped to the 13 Adjudicative guidelines. Use of the Risk Rating Tool for case management and enrollment into High, Medium, Low Continuous Vetting Tier management is projected to generate cost avoidance in data acquisition by focusing resources on high risks rather than a randomly selected process. Execution of small scale prototypes or pilots will facilitate demonstrating value added before full scale integration, ensuring funds are not executed on an effort that cannot scale or meet all requirements. The Risk Rating Tool funds the development of data focused on individuals demonstrating high risk behaviors as identified by machine learning modeling approaches.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2022
Source ID
000_0305128V_7_0400_PB_2022

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Aviation Safety Risk Assessment.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Microelectronics

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