Foreign Interference in the 2020 Election: Tools for Detecting Online Election Interference

Abstract

Foreign election interference is a serious threat to U.S. democratic processes, something that became visible and received public attention in the wake of the 2016 U.S. general election. In the aftermath of that election, it became clear that agents acting on behalf of the Russian government went online and engaged in a very sophisticated malign information effort meant to sow chaos and inflame partisan divides in the U.S. electorate (Marcellino, Cox, et al., 2020). Because of the seriousness of the threat and concerns that such threats are likely to be ongoing, improving the detection of such efforts is critical. That desire to help bolster our democratic processes from illicit interference motivated our current study, which attempted to pilot improved detection methods prior to the 2020 electionwe wanted to detect any such efforts in time to provide warning rather than post hoc.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2020
Accession Number
AD1111253

Entities

People

  • Christian Johnson
  • Marek N. Posard
  • Todd C. Helmus
  • William M. Marcellino

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Software
  • Computational Science
  • Computer Languages
  • Data Mining
  • Dimensionality Reduction
  • Governments
  • Information Science
  • Intelligence Community (United States)
  • Internet
  • Language
  • Machine Learning
  • National Security
  • Natural Language Processing
  • Neural Networks
  • Online Communications
  • Public Policy
  • Social Media
  • Supervised Machine Learning
  • Unified Combatant Commands
  • United States

Readers

  • Political Violence and Terrorism Studies.
  • Sensor Fusion and Tracking Systems.