Challenges in the use of social media data for the next generation analyst

Rob Grace, Robert Leskovich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper discusses the opportunities and challenges present for the next generation analyst in the use of social media data. Focusing particularly on the detection of deception and misinformation within the latter, a review of current approaches is followed by the elaboration of a theoretical model for social media analysis premised on activity based intelligence. Considering this model with regard to latent challenges to analytical performance and potential opportunities for analytical calibration, this discussion articulates an approach for open-source, next generation intelligence analysis.

Original languageEnglish
Title of host publicationNext-Generation Analyst III
EditorsTimothy P. Hanratty, James Llinas, Barbara D. Broome, David L. Hall
PublisherSPIE
ISBN (Electronic)9781628416152
DOIs
StatePublished - 2015
EventNext-Generation Analyst III - Baltimore, United States
Duration: Apr 20 2015Apr 21 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9499
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceNext-Generation Analyst III
Country/TerritoryUnited States
CityBaltimore
Period04/20/1504/21/15

Keywords

  • Activity based intelligence
  • Deception
  • Intelligence analysis
  • Misinformation
  • Social media

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