Detecting Narcissism From Older Adults' Daily Language Use: A Machine Learning Approach.
Objectives Narcissism has been associated with poorer quality social connections in late life, yet less is known about how narcissism is associated with older adults' daily social interactions. This study explored the associations between narcissism and older adults' language use throughout the day....
| Published in: | Journals of Gerontology Series B: Psychological Sciences & Social Sciences Vol. 78; no. 9; pp. 1493 - 1501 |
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| Main Authors: | , , |
| Format: | Article |
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Oxford University Press / USA
Sep2023
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=170744891&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 170744891 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10795014 JGB jtl: Journals of Gerontology Series B: Psychological Sciences & Social Sciences issn: 10795014 maglogo: N pubinfo: dt: Sep2023 vid: 78 iid: 9 pid: 622 pub: Oxford University Press / USA artinfo: ui: 170744891 10.1093/geronb/gbad061 ppf: 1493 ppct: 8 formats: tig: atl: Detecting Narcissism From Older Adults' Daily Language Use: A Machine Learning Approach. aug: au: Zhang, Shiyang Fingerman, Karen L Birditt, Kira S affil: Department of Human Development and Family Sciences, The University of Texas at Austin , Austin, Texas , USA Institute for Social Research, University of Michigan , Ann Arbor, Michigan , USA su: Texas Narcissism Linguistics Self-evaluation Interviewing Interpersonal relations Personality tests Personality assessment Old age Statistics Speech evaluation Machine learning Random forest algorithms Descriptive statistics Independent living Questionnaires Research funding Data analysis Statistical models Algorithms Poisson distribution sug: subj: Narcissism Linguistics Self-evaluation Interviewing Interpersonal relations Personality tests Personality assessment Old age Texas Statistics Speech evaluation Machine learning Random forest algorithms Descriptive statistics Independent living Questionnaires Research funding Data analysis Statistical models Algorithms Poisson distribution keyword: Electronically activated recorder (EAR) Linguistic features personality Electronically activated recorder (EAR) Linguistic features personality ab: Objectives Narcissism has been associated with poorer quality social connections in late life, yet less is known about how narcissism is associated with older adults' daily social interactions. This study explored the associations between narcissism and older adults' language use throughout the day. Methods Participants aged 65–89 (N = 281) wore electronically activated recorders which captured ambient sound for 30 s every 7 min across 5–6 days. Participants also completed the Narcissism Personality Inventory-16 scale. We used Linguistic Inquiry and Word Count to extract 81 linguistic features from sound snippets and applied a supervised machine learning algorithm (random forest) to evaluate the strength of links between narcissism and each linguistic feature. Results The random forest model showed that the top 5 linguistic categories that displayed the strongest associations with narcissism were first-person plural pronouns (e.g. we), words related to achievement (e.g. win, success), to work (e.g. hiring, office), to sex (e.g. erotic, condom), and that signal desired state (e.g. want, need). Discussion Narcissism may be demonstrated in everyday life via word use in conversation. More narcissistic individuals may have poorer quality social connections because their communication conveys an emphasis on self and achievement rather than affiliation or topics of interest to the other party. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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