We are already aware that our every move online is
tracked, aggregated and analysed. But you couldn't have known how much
Facebook can learn about you from the smallest of social interactions – a
"like".
Researchers from the University of
Cambridge designed a simple machine-learning system to predict Facebook
users' personal information and traits based solely on which pages they
had liked.
"We were completely surprised by the accuracy of the predictions," says Michal Kosinski, lead author on the paper in PNAS (DOI: 10.1073/pnas.1218772110).
"We were completely surprised by the accuracy of the predictions," says Michal Kosinski, lead author on the paper in PNAS (DOI: 10.1073/pnas.1218772110).
Kosinski and his colleagues built the
system by scanning likes for a sample of 58,000 volunteers, and matching
them up with other profile details such as age, gender and relationship
status. He also matched up those likes with the results of personality
and intelligence tests the volunteers had taken. The team then used
their model to make predictions about other volunteers, based solely on
their likes
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