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Computational mining of social media to curb terrorism

  • New Jersey Institute of Technology
  • University of South Carolina
  • Innovation Center

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

In the ever-connected social networking era, terrorists exploit social media platforms via sophisticated approaches. To curb these activities, a rich collection of computational methods was developed. This article surveys the use of social media by terrorists, followed by a temporal classification framework that overviews computational countermeasures at four major stages, including inception of an attack, immediately before an attack, onset of an attack, and after an attack. The literature surveyed was organized around the four temporal stages. The resulting survey is summarized in a table with the main technology used in each stage based on the time of the attack.

Original languageEnglish
Article number87
JournalACM Computing Surveys
Volume52
Issue number5
DOIs
StatePublished - Sep 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Computational analytics
  • Counterterrorism
  • Social media mining
  • Terrorism

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