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

@article{Kosinski2013PrivateTA,
  title={Private traits and attributes are predictable from digital records of human behavior.},
  author={Michal Kosinski and David Stillwell and Thore Graepel},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2013},
  volume={110 15},
  pages={5802-5}
}
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… CONTINUE READING
Highly Influential
This paper has highly influenced 54 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 949 citations. REVIEW CITATIONS
519 Citations
30 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 519 extracted citations

949 Citations

0100200'13'14'15'16'17'18
Citations per Year
Semantic Scholar estimates that this publication has 949 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 30 references

The Personality of popular Facebook users

  • D Quercia, R Lambiotte, M Kosinski, D Stillwell, J Crowcroft
  • ACM Conference on Computer Supported Cooperative…
  • 2012

The Personality of popular Facebook users . ACM Conference on Computer Supported Cooperative Work

  • D Quercia, R Lambiotte, M Kosinski, D Stillwell, J Crowcroft
  • Proceedings of the ACM 2012 Conference on…
  • 2012

The Power of Habit: Why We Do What We Do in Life and Business (Random

  • C Duhigg
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…