Ghostbusting facebook: detecting and characterizing phantom profiles in online social gaming applications

  • Authors:
  • Atif Nazir;Saqib Raza;Chen-Nee Chuah;Burkhard Schipper

  • Affiliations:
  • University of California-Davis, Davis, CA;University of California-Davis, Davis, CA;University of California-Davis, Davis, CA;University of California-Davis, Davis, CA

  • Venue:
  • WOSN'10 Proceedings of the 3rd conference on Online social networks
  • Year:
  • 2010

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Abstract

A fundamental question when studying underlying friendship and interaction graphs of Online Social Networks (OSNs) is how closely these graphs mirror real-world associations. The presence of phantom or fake profiles dilutes the integrity of this correspondence. This paper looks at the presence of phantom profiles in the context of social gaming, i.e., profiles created with the purpose of gaining a strategic advantage in social games. Through a measurement-based study of a Facebook gaming application that is known to attract phantom profiles, we show statistical differences among a subset of features associated with genuine and phantom profiles. We then use supervised learning to classify phantom profiles. Our work represents a first-step towards solving the more general problem of detecting fake/phantom identities in OSNs.