↓ 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 (#23 of 46,816)
  • 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)

Readers on

mendeley
599 Mendeley
citeulike
1 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, Youyou W, Kosinski M, Stillwell D

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 1,057 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 599 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 26 4%
United Kingdom 18 3%
Germany 11 2%
Spain 6 1%
Brazil 6 1%
Australia 5 <1%
Austria 4 <1%
Finland 3 <1%
Switzerland 3 <1%
Other 32 5%
Unknown 485 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 164 27%
Student > Master 97 16%
Researcher 97 16%
Student > Bachelor 58 10%
Professor > Associate Professor 38 6%
Other 145 24%
Readers by discipline Count As %
Psychology 184 31%
Computer Science 127 21%
Social Sciences 74 12%
Unspecified 41 7%
Business, Management and Accounting 37 6%
Other 136 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 1810. 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 13 September 2017.
All research outputs
#430
of 8,414,367 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#23
of 46,816 outputs
Outputs of similar age
#18
of 242,208 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#2
of 947 outputs
Altmetric has tracked 8,414,367 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 46,816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. 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 242,208 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 947 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.