Exploring the dark side of the Web: Collection and analysis of U.S. extremist online forums

Yilu Zhou, Jialun Qin, Guanpi Lai, Edna Reid, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Contents in extremist online forums are invaluable data sources for extremism reseach. In this study, we propose a systematic Web mining approach to collecting and monitoring extremist forums. Our proposed approach identifies extremist forums from various resources, addresses practical issues faced by researchers and experts in the extremist forum collection process. Such collection provides a foundation for quantitative forum analysis. Using the proposed approach, we created a collection of 110 U.S. domestic extremist forums containing more than 640,000 documents. The collection building results demonstrate the effectiveness and feasibility of our approach. Furthermore, the extremist forum collection we created could serve as an invaluable data source to enable a better understanding of the extremism movements.

Original languageEnglish (US)
Title of host publicationIntelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings
PublisherSpringer-Verlag
Pages621-626
Number of pages6
ISBN (Print)3540344780, 9783540344780
DOIs
StatePublished - 2006
EventIEEE International Conference on Intelligence and Security Informatics, ISI 2006 - San Diego, CA, United States
Duration: May 23 2006May 24 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3975 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherIEEE International Conference on Intelligence and Security Informatics, ISI 2006
Country/TerritoryUnited States
CitySan Diego, CA
Period5/23/065/24/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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