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

Personality, gender, and age in the language of social media: the open-vocabulary approach.
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DOI:
10.1371/journal.pone.0073791
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Ungar LH
Ungar LH
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Schwartz HA;Eichstaedt JC;Kern ML;Dziurzynski L;Ramones SM;Agrawal M;Shah A;Kosinski M;Stillwell D;Seligman ME;Ungar LH

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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.
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