Private traits and attributes are predictable from digital records of human behavior

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Gen "We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness"

2013/04/21 リンク

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Private traits and attributes are predictable from digital records of human behavior

AbstractWe show that easily accessible digital records of behavior, Facebook Likes, can be used t... AbstractWe show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based