• DocumentCode
    3156251
  • Title

    Lessons from a Jihadi Corpus

  • Author

    Skillicorn, D.B.

  • Author_Institution
    Sch. of Comput., Queen´s Univ., Kingston, ON, Canada
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    874
  • Lastpage
    878
  • Abstract
    We analyze the posts in the Islamic Awareness forum, using models for frequent words (content), for Salafist-Jihadist language, and for deception. These last two models each produce a single-factor ranking enabling, in each case, the most useful subset of posts to be selected for further analysis. Posts that rank highly for Salafist-Jihadist language rank low for deception, suggesting that faking extremist websites is probably an ineffective strategy. The process described here is a template for analysis of many kinds of open-source corpora where language models of what makes posts interesting are known.
  • Keywords
    Web sites; natural language processing; public domain software; word processing; Islamic Awareness forum post analysis; Jihadi open-source corpus; Salafist-Jihadist language; content frequencies; extremist Web sites; language deception; single-factor ranking; template analysis; word frequencies; Analytical models; Computational modeling; Conferences; Educational institutions; Matrix decomposition; Periodic structures; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.239
  • Filename
    6425649