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Software Aims To Protect Social Media Content

ONLINE PRIVACY—U.S.

December 2, 2013

MediaPost reports that managing social media privacy settings might become easier due to software that can suggest privacy settings for content you share with different groups. The software uses data-mining techniques to analyze the structure of users’ social network and then predicts what kind of privacy they would choose, the report states. It was developed by researchers at Penn State and the Missouri University of Science and Technology, and its developers say the software is 77-percent accurate in guessing what kind of privacy people would assign each piece of content.
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