• DocumentCode
    1173891
  • Title

    US domestic extremist groups on the Web: link and content analysis

  • Author

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

  • Author_Institution
    Dept. of Manage. Inf. Syst., Arizona Univ., Tucson, AZ, USA
  • Volume
    20
  • Issue
    5
  • fYear
    2005
  • Firstpage
    44
  • Lastpage
    51
  • Abstract
    Although US domestic extremist and hate groups might not be as well-known as some international groups, they nevertheless pose a significant threat to homeland security. Increasingly, these groups are using the Internet as a tool for facilitating recruitment, linking with other extremist groups, reaching global audiences, and spreading hate materials that encourage violence and terrorism. A study of semiautomated methodologies to capture and organize domestic extremist Web site data revealed interorganizational structures and cluster affinities that coincided with both domain expert knowledge and earlier manual research.
  • Keywords
    Internet; information resources; social aspects of automation; social sciences computing; terrorism; US domestic extremist groups; content analysis; domain expert knowledge; domestic extremist Web site data; hate groups; homeland security; interorganizational structures; link analysis; terrorism; violence; Data analysis; Data visualization; Discussion forums; Internet; Joining processes; Merchandise; Monitoring; Pattern analysis; Recruitment; Terrorism; Dark Web; Web content analysis; Web harvesting; Web link analysis; Web mining; data visualization; decision support systems; terrorism; text mining;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2005.96
  • Filename
    1511999