Personality, gender, and age in the language of social media: the open-vocabulary approach.

We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a com...

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Autores principales: H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Lukasz Dziurzynski, Stephanie M Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin E P Seligman, Lyle H Ungar
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Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/e84c8e2b54974bc982d72a411ad35e41
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spelling oai:doaj.org-article:e84c8e2b54974bc982d72a411ad35e412021-11-18T08:53:42ZPersonality, gender, and age in the language of social media: the open-vocabulary approach.1932-620310.1371/journal.pone.0073791https://doaj.org/article/e84c8e2b54974bc982d72a411ad35e412013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24086296/?tool=EBIhttps://doaj.org/toc/1932-6203We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase 'sick of' and the word 'depressed'), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive 'my' when mentioning their 'wife' or 'girlfriend' more often than females use 'my' with 'husband' or 'boyfriend'). To date, this represents the largest study, by an order of magnitude, of language and personality.H Andrew SchwartzJohannes C EichstaedtMargaret L KernLukasz DziurzynskiStephanie M RamonesMegha AgrawalAchal ShahMichal KosinskiDavid StillwellMartin E P SeligmanLyle H UngarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 9, p e73791 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
H Andrew Schwartz
Johannes C Eichstaedt
Margaret L Kern
Lukasz Dziurzynski
Stephanie M Ramones
Megha Agrawal
Achal Shah
Michal Kosinski
David Stillwell
Martin E P Seligman
Lyle H Ungar
Personality, gender, and age in the language of social media: the open-vocabulary approach.
description We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase 'sick of' and the word 'depressed'), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive 'my' when mentioning their 'wife' or 'girlfriend' more often than females use 'my' with 'husband' or 'boyfriend'). To date, this represents the largest study, by an order of magnitude, of language and personality.
format article
author H Andrew Schwartz
Johannes C Eichstaedt
Margaret L Kern
Lukasz Dziurzynski
Stephanie M Ramones
Megha Agrawal
Achal Shah
Michal Kosinski
David Stillwell
Martin E P Seligman
Lyle H Ungar
author_facet H Andrew Schwartz
Johannes C Eichstaedt
Margaret L Kern
Lukasz Dziurzynski
Stephanie M Ramones
Megha Agrawal
Achal Shah
Michal Kosinski
David Stillwell
Martin E P Seligman
Lyle H Ungar
author_sort H Andrew Schwartz
title Personality, gender, and age in the language of social media: the open-vocabulary approach.
title_short Personality, gender, and age in the language of social media: the open-vocabulary approach.
title_full Personality, gender, and age in the language of social media: the open-vocabulary approach.
title_fullStr Personality, gender, and age in the language of social media: the open-vocabulary approach.
title_full_unstemmed Personality, gender, and age in the language of social media: the open-vocabulary approach.
title_sort personality, gender, and age in the language of social media: the open-vocabulary approach.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/e84c8e2b54974bc982d72a411ad35e41
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