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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
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

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.

Keywords

Chat Room Extremist Group Multimedia Document Authoritative Source Major Search Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yilu Zhou
    • 1
  • Jialun Qin
    • 1
  • Guanpi Lai
    • 1
  • Edna Reid
    • 1
  • Hsinchun Chen
    • 1
  1. 1.Department of Management Information SystemsThe University of ArizonaTucsonUSA

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