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Löschner, DM; Schoemann, M; Jauk, E; Herchenhahn, L; Schwöbel, S; Kanske, P; Scherbaum, S.
A computational framework to study the etiology of grandiose narcissism.
Sci Rep. 2025; 15(1):5897 Doi: 10.1038/s41598-025-90109-w [OPEN ACCESS]
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Co-authors Med Uni Graz: Jauk Emanuel
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Abstract:: Grandiose narcissism is characterized by ambivalent interaction behavior (i.e., grandiose self-presentation and rivalrous devaluation of others) and strong oscillations in self-esteem over time. In the light of emotional and social problems associated with these self-esteem regulation patterns and the increasing prevalence of narcissistic tendencies, causal and formalized models for prevention and intervention are needed. Here, we present a computational model of narcissistic self-esteem regulation implementing established, verbal theories of narcissism to identify key etiological and disorder-maintaining mechanisms. Across four studies, we show that parental praise and overvaluation lead to typical grandiose-narcissistic behavioral patterns (i.e., entitled self-presentation and rivalry) and strong self-esteem oscillations. Underlying these phenomena, we identify two maintaining mechanisms that offer targets for intervention and empirical falsification: tolerance development, characterized by an ever-increasing desire for social recognition, and a vicious cycle of rivalry, characterized by the frequent use of other-devaluing behavior and massive drops in self-esteem.
Find related publications in this database (using NLM MeSH Indexing): Narcissism - administration & dosage; Humans - administration & dosage; Self Concept - administration & dosage; Female - administration & dosage; Male - administration & dosage; Adult - administration & dosage; Computer Simulation - administration & dosage; Models, Psychological - administration & dosage
Find related publications in this database (Keywords): Etiology; Narcissism; Agent-based modeling; Computational psychology; Personality