Proceedings of the 16th international conference on World Wide Web
Robust De-anonymization of Large Sparse Datasets
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Large Online Social Footprints--An Emerging Threat
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 03
On the leakage of personally identifiable information via online social networks
ACM SIGCOMM Computer Communication Review
Privacy leakage in mobile online social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
Modeling Unintended Personal-Information Leakage from Multiple Online Social Networks
IEEE Internet Computing
How unique and traceable are usernames?
PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
@i seek 'fb.me': identifying users across multiple online social networks
Proceedings of the 22nd international conference on World Wide Web companion
Cross social networks interests predictions based ongraph features
Proceedings of the 7th ACM conference on Recommender systems
| Hi-index | 0.00 |
We present an empirical study of personal information revealed in public profiles of people who use multiple Online Social Networks (OSNs). This study aims to examine how users reveal their personal information across multiple OSNs. We first consider the number of publicly available attributes in public profiles, based on various demographics and show a correlation between the amount of information revealed in OSN profiles and specific occupations and the use of pseudonyms. Then, we measure the complementarity of information across OSNs and contrast it with our observations about users who share a larger amount of information. We also measure the consistency of information revelation patterns across OSNs, finding that users have preferred patterns when revealing information across OSNs. To evaluate the quality of aggregated profiles we introduce a consistency measure for attribute values, and show that aggregation also improves information granularity. Finally, taking Australian phone directory as a case study, we demonstrate how the availability of multiple OSN profiles can be exploited to improve the success of obtaining users' detailed contact information, by cross-linking with publicly available data sources such as on-line phone directories.