↓ Skip to main content

PNAS

Article Metrics

Computer-based personality judgments are more accurate than those made by humans

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 82,403)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
278 Dimensions

Readers on

mendeley
1229 Mendeley
citeulike
3 CiteULike
Title
Computer-based personality judgments are more accurate than those made by humans
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2015
DOI 10.1073/pnas.1418680112
Pubmed ID
Authors

Wu Youyou, Michal Kosinski, David Stillwell

Abstract

Judging others' personalities is an essential skill in successful social living, as personality is a key driver behind people's interactions, behaviors, and emotions. Although accurate personality judgments stem from social-cognitive skills, developments in machine learning show that computer models can also make valid judgments. This study compares the accuracy of human and computer-based personality judgments, using a sample of 86,220 volunteers who completed a 100-item personality questionnaire. We show that (i) computer predictions based on a generic digital footprint (Facebook Likes) are more accurate (r = 0.56) than those made by the participants' Facebook friends using a personality questionnaire (r = 0.49); (ii) computer models show higher interjudge agreement; and (iii) computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health; for some outcomes, they even outperform the self-rated personality scores. Computers outpacing humans in personality judgment presents significant opportunities and challenges in the areas of psychological assessment, marketing, and privacy.

Twitter Demographics

The data shown below were collected from the profiles of 1,266 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 25 2%
United Kingdom 16 1%
Germany 9 <1%
Brazil 5 <1%
Australia 5 <1%
Spain 4 <1%
Finland 3 <1%
Austria 3 <1%
Portugal 2 <1%
Other 28 2%
Unknown 1129 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 287 23%
Student > Master 209 17%
Student > Bachelor 149 12%
Researcher 147 12%
Student > Doctoral Student 69 6%
Other 274 22%
Unknown 94 8%
Readers by discipline Count As %
Psychology 342 28%
Computer Science 218 18%
Social Sciences 127 10%
Business, Management and Accounting 97 8%
Agricultural and Biological Sciences 45 4%
Other 234 19%
Unknown 166 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 2413. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2020.
All research outputs
#589
of 14,363,066 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#30
of 82,403 outputs
Outputs of similar age
#16
of 298,104 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#2
of 961 outputs
Altmetric has tracked 14,363,066 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82,403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,104 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 961 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.