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Computational mining of social media to curb terrorism

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

科研成果: 期刊稿件文章同行评审

19 引用 (Scopus)

摘要

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.

源语言英语
期刊论文编号87
期刊ACM Computing Surveys
52
5
DOI
出版状态已出版 - 9月 2019
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 16 - 和平、正义和强大机构
    可持续发展目标 16 和平、正义和强大机构

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