Association for Computing Machinery
The authors 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. They 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, they measure the complementarity of information across OSNs and contrast it with their observations about users who share a larger amount of information. They also measure the consistency of information revelation patterns across OSNs, finding that users have preferred patterns when revealing information across OSNs.