Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
A familiar face(book): profile elements as signals in an online social network
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Characterizing privacy in online social networks
Proceedings of the first workshop on Online social networks
Social networks and context-aware spam
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Proceedings of the 18th international conference on World wide web
All your contacts are belong to us: automated identity theft attacks on social networks
Proceedings of the 18th international conference on World wide web
Inferring private information using social network data
Proceedings of the 18th international conference on World wide web
On the leakage of personally identifiable information via online social networks
ACM SIGCOMM Computer Communication Review
You are who you know: inferring user profiles in online social networks
Proceedings of the third ACM international conference on Web search and data mining
Privacy Calculus on Social Networking Sites: Explorative Evidence from Germany and USA
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Walking in facebook: a case study of unbiased sampling of OSNs
INFOCOM'10 Proceedings of the 29th conference on Information communications
Classifying latent user attributes in twitter
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
All liaisons are dangerous when all your friends are known to us
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Analyzing facebook privacy settings: user expectations vs. reality
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Inferring privacy information from social networks
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Privacy in Social Networks: How Risky is Your Social Graph?
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
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A user's online social network (OSN) friends commonly share information on their OSN profiles that might also characterize the user him-/herself. Therefore, OSN friends are potentially jeopardizing users' privacy. Previous studies demonstrated that third parties can potentially infer personally identifiable information (PII) based on information shared by users' OSN friends if sufficient information is accessible. However, when considering how privacy settings have been adjusted since then, it is unclear which attributes can still be predicted this way. In this paper, we present an empirical study on PII of Facebook users and their friends. We show that certain pieces of PII can easily be inferred. In contrast, other attributes are rarely made publicly available and/or correlate too little so that not enough information is revealed for intruding user privacy. For this study, we analyzed more than 1.2 million OSN profiles in a compliant manner to investigate the privacy risk due to attribute prediction by third parties. The data shown in this paper provides the basis for acting in a risk aware fashion in OSNs.