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  1. Proceedings of the 2012 ACM workshop on Workshop on online social networks (WOSN '12)
  2. Big friend is watching you: analyzing online social networks tracking capabilities
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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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Big friend is watching you: analyzing online social networks tracking capabilities

Content Provider ACM Digital Library
Author Kaafar, Mohamed Ali Boreli, Roksana Chaabane, Abdelberi
Abstract In this paper, we examine web user tracking capabilities of the three major global Online Social Networks (OSNs). We study the mechanisms which enable these services to persistently and accurately follow users web activity, and evaluate to which extent this phenomena is spread across the web. Through a study of the top 10K websites, our findings indicate that OSN tracking is diffused among almost all website categories, independently from the content and from the audience. We also evaluate the tracking capabilities in practice and demonstrate by analyzing a real traffic traces that OSNs can reconstruct a significant portion of users web profile and browsing history. We finally provide insights into the relation between the browsing history characteristics and the OSN tracking potential, highlighting the high risk properties.
Starting Page 7
Ending Page 12
Page Count 6
File Format PDF
ISBN 9781450314800
DOI 10.1145/2342549.2342552
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-08-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy Tracking Online social networks
Content Type Text
Resource Type Article
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