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Private traits and attributes are predictable from digital records of human behavior
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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3625324/ https://ncbi.nlm.nih.gov/pubmed/23479631 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1218772110 |
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