research-article

Applying Authorship Analysis to Extremist-Group Web Forum Messages

Authors:

Ahmed Abbasi,

Hsinchun ChenAuthors Info & Claims

IEEE Intelligent Systems, Volume 20, Issue 5

Pages 67 - 75

https://doi.org/10.1109/MIS.2005.81

Published: 01 September 2005 Publication History

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Abstract

One major challenge facing the intelligence and security community is monitoring online media for terrorist group communications. This study addresses the online anonymity problem by applying authorship analysis to English and Arabic extremist group Web forum messages. The study evaluates the performance impact of different feature categories and techniques across both languages. To enhance writing style identification, researchers incorporated a comprehensive list of online authorship features. Additionally, they created an Arabic language model by adopting specific features and techniques, including an elongation filter and a root-clustering algorithm, to handle challenging linguistic characteristics. A series of experiments indicated a high level of efficacy in the models. Finally, the authors compare the English and Arabic language models and messages to aid the research community's understanding of the dynamics of these groups' authorship tendencies.This article is part of a special issue on Homeland Security.

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Cited By

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Sarwar RPerera MTeh PNawaz RHassan M(2024)Crossing Linguistic Barriers: Authorship Attribution in Sinhala TextsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/365562023:5(1-14)Online publication date: 10-May-2024
https://dl.acm.org/doi/10.1145/3655620
Saini JBansal D(2024)Computational techniques to counter terrorism: a systematic surveyMultimedia Tools and Applications10.1007/s11042-023-15545-083:1(1189-1214)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15545-0
Adebayo GYampolskiy R(2023)Automatic IQ Estimation from Written text using Stylometry MethodsProceedings of the 2023 7th International Conference on Information System and Data Mining10.1145/3603765.3603769(56-65)Online publication date: 10-May-2023
https://dl.acm.org/doi/10.1145/3603765.3603769
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Index Terms

Applying Authorship Analysis to Extremist-Group Web Forum Messages
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information systems applications
    1. Data mining

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Published In

IEEE Intelligent Systems Volume 20, Issue 5

September 2005

94 pages

ISSN:1541-1672

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IEEE Educational Activities Department

United States

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Published: 01 September 2005

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Sarwar RPerera MTeh PNawaz RHassan M(2024)Crossing Linguistic Barriers: Authorship Attribution in Sinhala TextsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/365562023:5(1-14)Online publication date: 10-May-2024
https://dl.acm.org/doi/10.1145/3655620
Saini JBansal D(2024)Computational techniques to counter terrorism: a systematic surveyMultimedia Tools and Applications10.1007/s11042-023-15545-083:1(1189-1214)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11042-023-15545-0
Adebayo GYampolskiy R(2023)Automatic IQ Estimation from Written text using Stylometry MethodsProceedings of the 2023 7th International Conference on Information System and Data Mining10.1145/3603765.3603769(56-65)Online publication date: 10-May-2023
https://dl.acm.org/doi/10.1145/3603765.3603769
Alqahtani FDohler M(2023)Survey of Authorship Identification Tasks on Arabic TextsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/356415622:4(1-24)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1145/3564156
Richardson M(2023)Predicting Violent Extremism with Machine Learning: A Scoping ReviewSN Computer Science10.1007/s42979-023-02355-25:1Online publication date: 16-Nov-2023
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Guo J(2022)Design and Implementation of a Machine Learning-Based English Intelligent Test SystemWireless Communications & Mobile Computing10.1155/2022/58753802022Online publication date: 1-Jan-2022
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Chadoulis RNikolaou AKotropoulos C(2022)Authorship Attribution in Greek Literature Using Word AdjacenciesProceedings of the 12th Hellenic Conference on Artificial Intelligence10.1145/3549737.3549750(1-9)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3549737.3549750
Casimiro GDigiampietri L(2022)Authorship Attribution with Temporal Data in RedditProceedings of the XVIII Brazilian Symposium on Information Systems10.1145/3535511.3535515(1-8)Online publication date: 16-May-2022
https://dl.acm.org/doi/10.1145/3535511.3535515
Zagalsky ATe'eni DYahav ISchwartz DSilverman GCohen DMann YLewinsky D(2021)The Design of Reciprocal Learning Between Human and Artificial IntelligenceProceedings of the ACM on Human-Computer Interaction10.1145/34795875:CSCW2(1-36)Online publication date: 18-Oct-2021
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Ai ZYijia ZHao WMingyu L(2021)LDA-Transformer Model in Chinese Poetry Authorship AttributionInformation Retrieval10.1007/978-3-030-88189-4_5(59-73)Online publication date: 29-Oct-2021
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US Domestic Extremist Groups on the Web: Link and Content Analysis

Inducing multilingual text analysis tools via robust projection across aligned corpora

Authorship Analysis of Inspire Magazine through Stylometric and Psychological Features

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