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Private traits and attributes are predictable from digital ...

Private traits and attributes are predictable fromdigital records of human behaviorMichal Kosinskia,1, David Stillwella, and Thore GraepelbaFree School Lane, The Psychometrics Centre, University of Cambridge, Cambridge CB2 3RQ United Kingdom; andbMicrosoft Research, Cambridge CB1 2FB,United KingdomEdited by Kenneth Wachter, University of California, Berkeley, CA, and approved February 12, 2013 (received for review October 29, 2012)We show that easily accessible digital records of behavior, FacebookLikes, can be used to automatically and accurately predict a rangeof highly sensitive personal attributes including.

Private traits and attributes are predictable from digital records of human behavior Michal Kosinskia,1, David Stillwella, and Thore Graepelb aFree School Lane, The Psychometrics Centre, University of Cambridge, Cambridge CB2 3RQ United Kingdom; and bMicrosoft Research, Cambridge CB1 2FB, United Kingdom Edited by Kenneth Wachter, University of California, …

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