Emre Sarigol, David García, Frank Schweitzer
Proceedings of the 2nd ACM Conference in Online Social Networks (COSN’14) 2014
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We empirically test the feasibility of constructing shadow profiles of sexual orientation for users and non-users, using data from more than 3 Million accounts of a single OSN. We quantify a lower bound for the predictive power derived from the social network of a user, to demonstrate how the predictability of sexual orientation increases with the size of this network and the tendency to share personal information. This allows us to define a privacy leak factor that links individual privacy loss with the decision of other individuals to disclose information. Our statistical analysis reveals that some individuals are at a higher risk of privacy loss, as prediction accuracy increases for users with a larger and more homogeneous first- and second-order neighborhood of their social network. While we do not provide evidence that shadow profiles exist at all, our results show that disclosing of private information is not restricted to an individual choice, but becomes a collective decision that has implications for policy and privacy regulation.
Links
Selected Media Response
- Wired- Not on a Social Network? You’ve Still Got a Privacy Problem
- Vice – Your Friends’ Online Connections Can Reveal Your Sexual Orientation
- Fast Company – Leave Social Media? You Still Might Have a “Shadow Profile”
- El Pais – Las redes sociales pueden inferir la orientación sexual de sus usuarios
- El Pais – Eres lo que ‘te gusta’
- El Pais – ¿Hacia una era digital oscura?
- Extremadura Radio – Lo que las redes sociales saben de quienes no forman parte de ellas
- Onda Cero – Te doy mi palabra, entrevista