• DocumentCode
    634863
  • Title

    Predictive Notification Service of Privacy Invasion on Posting Pictures to SNS

  • Author

    Shimada, S. ; Echizen, Isao

  • Author_Institution
    Dept. of Adv., Tokyo Metropolitan Univ., Tokyo, Japan
  • fYear
    2013
  • fDate
    22-26 July 2013
  • Firstpage
    193
  • Lastpage
    199
  • Abstract
    The increasing volume of picture posting to SNS (Social Network Services) has led to a growing incidence of privacy invasion issues. We analyze the factors behind invasions of privacy in a large archive of tweets accumulated over a long period, and extract communities that provide a shared interpretation of privacy. We then propose a new service that analyzes new picture posts to predict the communities in which invasions of privacy are liable to occur and forewarn users who are liable to become invader or violated of privacy invasion.
  • Keywords
    data privacy; social networking (online); SNS; community extraction; picture posting; predictive notification service; privacy invasion; social network services; Communities; Data privacy; Face; Face recognition; Feature extraction; Privacy; Posting pictures; Predictive notification; Privacy community; Privacy invasion; SNS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
  • Conference_Location
    Japan
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2013.26
  • Filename
    6605788