Social media-predicted personality traits and values can help match people to their ideal jobs

Kern, ML; McCarthy, PX; Chakrabarty, D; Rizoiu, MA

Social media-predicted personality traits and values can help match people to their ideal jobs

Kern, ML

McCarthy, PX Chakrabarty, D Rizoiu, MA

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Publication Type:: Journal Article
Citation:: Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (52), pp. 26459 - 26464
Issue Date:: 2019-12-26

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Field	Value	Language
dc.contributor.author	Kern, ML https://orcid.org/0000-0003-4300-598X	en_US
dc.contributor.author	McCarthy, PX	en_US
dc.contributor.author	Chakrabarty, D	en_US
dc.contributor.author	Rizoiu, MA https://orcid.org/0000-0003-0381-669X	en_US
dc.date.available	2020-06-16T19:05:42Z
dc.date.issued	2019-12-26	en_US
dc.identifier.citation	Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (52), pp. 26459 - 26464	en_US
dc.identifier.issn	0027-8424	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137868
dc.description.abstract	© 2019 National Academy of Sciences. All rights reserved. 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.	en_US
dc.relation.ispartof	Proceedings of the National Academy of Sciences of the United States of America	en_US
dc.relation.isbasedon	10.1073/pnas.1917942116	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Social media-predicted personality traits and values can help match people to their ideal jobs	en_US
dc.type	Journal Article
utslib.citation.volume	52	en_US
utslib.citation.volume	116	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.issue	52	en_US
pubs.publication-status	Published	en_US
pubs.volume	116	en_US

Abstract:

© 2019 National Academy of Sciences. All rights reserved. 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.

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http://hdl.handle.net/10453/137868