Ontology highlight
ABSTRACT:
SUBMITTER: Kosinski M
PROVIDER: S-EPMC3625324 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Kosinski Michal M Stillwell David D Graepel Thore T
Proceedings of the National Academy of Sciences of the United States of America 20130311 15
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, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, an ...[more]