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Dark Identity: Distinction between malevolent character traits through self-descriptive language

Konferensbidrag (offentliggjort, men ej förlagsutgivet)
Författare Danilo Garcia
Patricia Rosenberg
Sverker Sikström
Publicerad i Ninth Self Biennial International Conference. Melbourne, Australia: 25-28 September
Publiceringsår 2017
Publicerad vid Psykologiska institutionen
Centrum för etik, juridik och mental hälsa
Språk en
Ämnesord Dark Triad; Machiavellianism; Narcissism; Psychopathy; Latent Semantic Analysis; Malevolent Character; Identity.
Ämneskategorier Psykologi

Sammanfattning

Background: Peoples’ tendencies to be manipulative, opportunistic, selfish, and callous are reflected in three dark character traits: Machiavellianism, narcissism, and psychopathy. Since individual differences are encoded in natural language, we expected that the words that people use to describe themselves reflected their malevolent traits. Method: A total of 2,374 participants, recruited from Amazon’s MTurk, responded to the Short Dark Triad and were asked to generate 10 self-descriptive words. The first analysis was a word-frequency analysis. In the second analysis, the words were quantified using the Latent Semantic Analysis algorithm, which quantifies meaning by computing the words co-occurrence in natural language. Results: The 2,374 participants generated a total of 25,698 words (2,373 unique words). For each dark trait we found specific words participants used to describe themselves. The quantified meaning of the words and the dark traits showed significant correlations (Machiavellianism: r=.19, p<.0001; narcissism: r=.35, p<.0001; psychopathy r=.35, p<.0001). Conclusion: We found that specific keywords and the dark traits are predictable from the meaning of words people use for self-presentation. Our results also suggest that each of these dark traits is not only distinctive of a person’s identity but also to an explicit awareness of the dark self

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