Detecting Civil Conflict and Information Biases in Polarized Environments in Social Media

Abstract

This is a RPPR (Research Performance Progress Report) final report for Agreement Number W911NF-16-1-0174. The report title is Detecting civil conflict and information biases in polarized environments in social media. The report has specific aims. A specific aim is to develop a composite index of conflict intensity. Develop methods for detecting several conflict indicators in social media, to be combined into a composite index of conflict intensity. Use several measures of verbal and non-verbal user behavior and the associated network-scale effects. Another specific aim is to analyze dynamic trends of the networks induced by user behavior. Detect and analyze the dynamics of polarized user networks, including user clique and cluster formation, their stability over time, and the changes in cluster modularity and density; track the formation and dynamics of user groups related to the conflict and individual user connections. Another specific aim is to flame war and political sentiment detection. Another specific aim is to detect information biases.

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Document Details

Document Type
Technical Report
Publication Date
Jan 14, 2020
Accession Number
AD1196027

Entities

People

  • Anna Rumshisky

Organizations

  • University of Massachusetts Lowell

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Data Mining
  • Databases
  • Information Processing
  • Information Science
  • Information Systems
  • Language
  • Linguistics
  • Natural Language Processing
  • Natural Languages
  • Network Science
  • Neural Networks
  • Online Communications
  • Social Media
  • Supervised Machine Learning

Readers

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