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Addressing the privacy management crisis in online social networks

Published: 13 May 2013 Publication History

Abstract

The sharing of personal data has emerged as a popular activity over online social networking sites like Facebook. As a result, the issue of online social network privacy has received significant attention in both the research literature and the mainstream media. Our overarching goal is to improve defaults and provide better tools for managing privacy, but we are limited by the fact that the full extent of the privacy problem remains unknown; there is little quantification of the incidence of incorrect privacy settings or the difficulty users face when managing their privacy. In this talk, I will first focus on measuring the disparity between the desired and actual privacy settings, quantifying the magnitude of the problem of managing privacy. Later, I will discuss how social network analysis techniques can be leveraged towards addressing the privacy management crisis.

Cited By

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  • (2015)Vulnerable Friend Identification: Who Should You Beware of Most in Online Social Networks?2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2015.7417301(1-6)Online publication date: Dec-2015
  • (2014)Distributed Algorithm for Full-View Barrier Coverage with Rotatable Camera Sensors2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2014.7417409(1-6)Online publication date: Dec-2014
  • (2014)Vulnerable Friend Identification: Who Should You Beware of Most in Online Social Networks?2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2014.7417301(1-6)Online publication date: Dec-2014

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  1. Addressing the privacy management crisis in online social networks

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      Published In

      cover image ACM Other conferences
      WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
      May 2013
      1636 pages
      ISBN:9781450320382
      DOI:10.1145/2487788
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Sponsors

      • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
      • CGIBR: Comite Gestor da Internet no Brazil

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 May 2013

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      Author Tags

      1. online social networks
      2. privacy

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      Conference

      WWW '13
      Sponsor:
      • NICBR
      • CGIBR
      WWW '13: 22nd International World Wide Web Conference
      May 13 - 17, 2013
      Rio de Janeiro, Brazil

      Acceptance Rates

      WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      Cited By

      View all
      • (2015)Vulnerable Friend Identification: Who Should You Beware of Most in Online Social Networks?2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2015.7417301(1-6)Online publication date: Dec-2015
      • (2014)Distributed Algorithm for Full-View Barrier Coverage with Rotatable Camera Sensors2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2014.7417409(1-6)Online publication date: Dec-2014
      • (2014)Vulnerable Friend Identification: Who Should You Beware of Most in Online Social Networks?2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2014.7417301(1-6)Online publication date: Dec-2014

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