Collective privacy management in social networks

Social Networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of people participating. Social networks enable a form of self expression for users, and help them to socialize and share content with other users. In spite of the fact that content sharing represents one of the prominent features of existing Social Network sites, Social Networks yet do not support any mechanism for collaborative management of privacy settings for shared content. In this paper, we model the problem of collaborative enforcement of privacy policies on shared data by using game theory. In particular, we propose a solution that offers automated ways to share images based on an extended notion of content ownership. Building upon the Clarke-Tax mechanism, we describe a simple mechanism that promotes truthfulness, and that rewards users who promote co-ownership. We integrate our design with inference techniques that free the users from the burden of manually selecting priv...

• Type: Conference
• Year: 2009
• Where: WWW
• Authors: Anna Cinzia Squicciarini, Mohamed Shehab, Federica Paci
• Keywords: Internet Technology, Keywords Social Networks, Popular Social Networks, Social Networks, WWW 2009