Applying authorship analysis to extremist-group Web forum messages

Ahmed Abbasi, Hsinchun Chen

Research output: Contribution to journalArticle

240 Citations (Scopus)

Abstract

The advantages of applying authorship analysis to extremist-group Web forum messages are discussed. Evaluating the linguistic features of Web messages and comparing them to known writing styles offers the intelligence community a tool for identifying patterns of terrorist communication. Authorship characterization attempts to formulate an author profile by making inferences about gender, education, and cultural backgrounds on the basis of writing style. The research showed significant discrimination power in the application of authorship identification techniques to English and Arabic extremist group forum messages.

Original languageEnglish (US)
Pages (from-to)67-75
Number of pages9
JournalIEEE Intelligent Systems
Volume20
Issue number5
DOIs
StatePublished - Sep 2005

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Linguistics
Education
Communication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Cite this

Applying authorship analysis to extremist-group Web forum messages. / Abbasi, Ahmed; Chen, Hsinchun.

In: IEEE Intelligent Systems, Vol. 20, No. 5, 09.2005, p. 67-75.

Research output: Contribution to journalArticle

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