Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
Publication Date
September 25, 2013
Journal
PLOS ONE
Authors
H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, et al
Volume
8
Issue
9
Pages
e73791
DOI
https://dx.plos.org/10.1371/journal.pone.0073791
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0073791
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24086296
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783449
Europe PMC
http://europepmc.org/abstract/MED/24086296
Web of Science
000325218700012
Scopus
84884541833
Mendeley
http://www.mendeley.com/research/personality-gender-age-language-social-media-openvocabulary-approach
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Andrew", "last_name"=>"Schwartz", "scopus_author_id"=>"51562512500"}, {"first_name"=>"Johannes C.", "last_name"=>"Eichstaedt", "scopus_author_id"=>"55841072400"}, {"first_name"=>"Margaret L.", "last_name"=>"Kern", "scopus_author_id"=>"25627687200"}, {"first_name"=>"Lukasz", "last_name"=>"Dziurzynski", "scopus_author_id"=>"55841943000"}, {"first_name"=>"Stephanie M.", "last_name"=>"Ramones", "scopus_author_id"=>"55904958500"}, {"first_name"=>"Megha", "last_name"=>"Agrawal", "scopus_author_id"=>"55862811000"}, {"first_name"=>"Achal", "last_name"=>"Shah", "scopus_author_id"=>"55862974100"}, {"first_name"=>"Michal", "last_name"=>"Kosinski", "scopus_author_id"=>"54915667100"}, {"first_name"=>"David", "last_name"=>"Stillwell", "scopus_author_id"=>"35312763000"}, {"first_name"=>"Martin E.P.", "last_name"=>"Seligman", "scopus_author_id"=>"7006438311"}, {"first_name"=>"Lyle H.", "last_name"=>"Ungar", "scopus_author_id"=>"7006123330"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24086296", "doi"=>"10.1371/journal.pone.0073791", "sgr"=>"84884541833", "arxiv"=>"1690219.1690245‎", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84884541833", "issn"=>"19326203", "pui"=>"369883084"}, "id"=>"b6d80f67-7887-34c0-acde-7c7bde038178", "abstract"=>"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'). 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