Defense Event

Mechanisms of Controlled Sharing for Social Networking Users

Lujun Fang

Thursday, March 21, 2013
09:30am - 11:30am
3725 BBB

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About the Event

Social networking sites are attracting hundreds of millions of users to share information online. One critical task for all of these users is to decided the right audience with which to share. The decision about the audience can be at a coarse level (e.g., deciding to share with everyone, friends of friends, or friends), or at a ne level (e.g., deciding to share with only some of the friends). Performing such controlled sharing tasks can be tedious and error-prone to most users. An active social networking user can have hundreds of contacts. Therefore, it can be dicult to pick the right subset of them to share with. Also, a user can create a lot of content, and each piece of it can be shared to a di erent audience. In this thesis, we perform an extensive study of the controlled sharing prob- lem and propose and implement a series of novel tools that help social net- working users better perform controlled sharing. We propose algorithms that automatically generate a recommended audience for both static pro le items as well as real-time generated content. To help users better understand the recommendations, we propose a relationship explanation tool that helps users understand the relationship between a pair of friends. We perform extensive evaluations to demonstrate the eciency and e ectiveness of our tools. With our tools, social networking users can control sharing more accurately with less e ort. Finally, we also study an existing controlled-sharing tool, namely the cir- cle sharing tool for Google+. We perform extensive data analyses and examine the impact of friend groups sharing behaviors on the development of the social network.

Additional Information

Sponsor(s): Kristen R. LeFevre

Open to: Public