• DocumentCode
    3643756
  • Title

    Intelligent Content-Based Privacy Assistant for Facebook

  • Author

    Michal Jakob;Zbynek Moler;Michal Pechoucek;Roman Vaculin

  • Author_Institution
    Dept. of Cybern., Czech Tech. Univ., Prague, Czech Republic
  • Volume
    1
  • fYear
    2011
  • Firstpage
    499
  • Lastpage
    500
  • Abstract
    Although most online social networks now offer fine-grained controls of information sharing, these are rarely used, both because their use imposes additional burden on the user and because there are too many control settings for an average user to handle. To mitigate this problem, we have developed an Intelligent Privacy Assistant for Face book that partially automates the assignment of sharing permissions, taking into account the content of the information published and user´s high-level sharing policies. The Assistant uses a novel social web privacy language, employs named entity recognition algorithms to annotate sensitive parts of published information and an answer set programming system to evaluate user´s privacy policies and determine the list of safe recipients. On a test scenario, the Assistant reached 73.8% and 95.2% performance in correctly determining safe and unsafe recipients, respectively.
  • Keywords
    "Privacy","Facebook","Logic gates","Data mining","Cognition","Electronic mail"
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
  • Print_ISBN
    978-1-4577-1373-6
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2011.67
  • Filename
    6040720