ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2023
Detecting Narcissism From Older Adults' Daily Language Use: A Machine Learning Approach.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Grandchild contact and grandparents' positive and negative emotions in daily life: an analysis using self-report and language use data.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Article
- Vulnerable Narcissism Modulates Early Neural Processing of Verbal Violence in Women: An ERP Study.Behavioral sciences (Basel, Switzerland) · 2026Article
- Empathy is associated with older adults' social behaviors and verbal emotional expressions throughout the day.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesNarcissism 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.
methodsParticipants 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.
resultsThe 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.