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  1. Proceedings of the 2012 ACM workshop on Workshop on online social networks (WOSN '12)
  2. Is more always merrier?: a deep dive into online social footprints
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Poultry markets: on the underground economy of twitter followers
Far from the eyes, close on the web: impact of geographic distance on online social interactions
Shortest paths in less than a millisecond
Inferring who-is-who in the Twitter social network
Big friend is watching you: analyzing online social networks tracking capabilities
Coarse-grained topology estimation via graph sampling
Navigation characteristics of online social networks and search engines users
Why watching movie tweets won't tell the whole story?
A workflow for differentially-private graph synthesis
The importance of being placefriends: discovering location-focused online communities
Keeping information safe from social networking apps
Is more always merrier?: a deep dive into online social footprints

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Is more always merrier?: a deep dive into online social footprints

Content Provider ACM Digital Library
Author Kaafar, Mohamed Ali Boreli, Roksana Friedman, Arik Chen, Terence
Abstract 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.
Starting Page 67
Ending Page 72
Page Count 6
File Format PDF
ISBN 9781450314800
DOI 10.1145/2342549.2342565
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-08-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy Social footprint Online social network
Content Type Text
Resource Type Article
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