Third-party applications' data practices on facebook

  • Authors:
  • Na Wang

  • Affiliations:
  • The Pennsylvania State University, University Park, Pennsylvania, USA

  • Venue:
  • CHI '12 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2012

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Abstract

The objective of this study is to better understand the information exchange created between social networking sites and third-party applications. Toward this end, I have collected data from the 29,020 most popular social applications on Facebook. I have analyzed the general distribution patterns of applications in terms of what types of interfaces they will present to users when users wish to add them to their profile as well as the scope of information that applications can potentially collect from users of Facebook. To further explore the ways in which third-party applications collect users' information, I am currently conducting data analysis to identify permissions that tend to bundle together, permission collecting patterns that exist in different categories of applications, and the information collecting patterns of large developers versus smaller developers.