'Shadow Profiles' Could Predict Personal Information from Social Networking Sites (1 of 2) (VIDEO)

American Association for the Advancement of Science (AAAS)

Caption

Video explaining how information of nonusers of a social network can be predicted. This material relates to a paper that appeared in the Aug. 4, 2017, issue of Science Advances, published by AAAS. The paper, by D. Garcia at ETH Zürich in Zurich, Switzerland, and colleagues was titled, 'Leaking privacy and shadow profiles in online social networks.'

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[Credit: David Garcia, ETH Zurich]

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