Applying authorship analysis to extremist-group Web forum messages

Ahmed Abbasi; Hsinchun Chen

doi:10.1109/MIS.2005.81

Applying authorship analysis to extremist-group Web forum messages

Ahmed Abbasi, Hsinchun Chen

Research output: Contribution to journal › Review article › peer-review

334 Scopus citations

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 language	English (US)
Pages (from-to)	67-75
Number of pages	9
Journal	IEEE Intelligent Systems
Volume	20
Issue number	5
DOIs	https://doi.org/10.1109/MIS.2005.81
State	Published - Sep 2005

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

Access to Document

10.1109/MIS.2005.81

Cite this

@article{4a200066fb9344139dde944e5a031af3,

title = "Applying authorship analysis to extremist-group Web forum messages",

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.",

author = "Ahmed Abbasi and Hsinchun Chen",

note = "Funding Information: This research was supported by US National Science Foundation grant ITR-0326348, 2003-2005, “ITR: COPLINK Center for Intelligence and Secu-",

year = "2005",

month = sep,

doi = "10.1109/MIS.2005.81",

language = "English (US)",

volume = "20",

pages = "67--75",

journal = "IEEE Intelligent Systems",

issn = "1541-1672",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Applying authorship analysis to extremist-group Web forum messages

AU - Abbasi, Ahmed

AU - Chen, Hsinchun

N1 - Funding Information: This research was supported by US National Science Foundation grant ITR-0326348, 2003-2005, “ITR: COPLINK Center for Intelligence and Secu-

PY - 2005/9

Y1 - 2005/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=27344450109&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=27344450109&partnerID=8YFLogxK

U2 - 10.1109/MIS.2005.81

DO - 10.1109/MIS.2005.81

M3 - Review article

AN - SCOPUS:27344450109

SN - 1541-1672

VL - 20

SP - 67

EP - 75

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

IS - 5

ER -

Applying authorship analysis to extremist-group Web forum messages

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this