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  • 标题:Social media-predicted personality traits and values can help match people to their ideal jobs
  • 本地全文:下载
  • 作者:Margaret L. Kern ; Paul X. McCarthy ; Deepanjan Chakrabarty
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2019
  • 卷号:116
  • 期号:52
  • 页码:26459-26464
  • DOI:10.1073/pnas.1917942116
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Work is thought to be more enjoyable and beneficial to individuals and society when there is congruence between one’s personality and one’s occupation. We provide large-scale evidence that occupations have distinctive psychological profiles, which can successfully be predicted from linguistic information unobtrusively collected through social media. Based on 128,279 Twitter users representing 3,513 occupations, we automatically assess user personalities and visually map the personality profiles of different professions. Similar occupations cluster together, pointing to specific sets of jobs that one might be well suited for. Observations that contradict existing classifications may point to emerging occupations relevant to the 21st century workplace. Findings illustrate how social media can be used to match people to their ideal occupation.
  • 关键词:personality ; employment ; linguistic analysis ; social media ; 21st century workplace
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