The Dark Triad of personality: A 10 year review
Abstract
Abstract Ten years ago called attention to the ‘Dark Triad’, a constellation of three conceptually distinct but empirically overlapping personality variables. The three members ‐‐ Machiavellianism, narcissism and subclinical psychopathy ‐‐ often show differential correlates but share a common core of callous‐manipulation. There are now dozens of studies on the triad and, according to Google Scholar, over 350 citations. The goal of this review is to update and critically evaluate this rapidly expanding literature. The standard measures of each Dark Triad member are reviewed along with newer combination measures. The Dark Triad members are located in in mainstream structural models, namely, the interpersonal circumplex as well as Five‐ and Six‐Factor Models. Key issues and controversies are addressed.
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The mixed findings in the literature may partly be attributable to the measurement tools used, and their respective reliability and validity issues.
“The mixed findings in the literature may partly be attributable to the measurement tools used, and their respective reliability and validity issues (8).”
From Empathy at the heart of darkness: empathy deficits that bind the dark triad and those that mediate indirect relational aggression. (2019) · cites this paper as [8]
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Differential Reproductive Behavior Patterns Among the Dark Triad
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Ecological Approaches to Personality
Figueredo, A. J., Wolf, P. S. A., Gladden, P. R., Olderbak, S. G., Andrzejczak, D. J., & Jacobs, W. J. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195372090.003.0008 · Cited by 37 · see citing works
Status-driven risk taking: Another “dark” personality?
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Sensational Interests, Mating Effort, and Personality: Evidence for Cross-Cultural Validity
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Why CEOs Fail: The 11 Behaviors That Can Derail Your Climb to the Top
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The mini-markers of evil: Using adjectives to measure the dark triad
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Introducing the Short Dark Triad (SD3): A Brief Measure of Dark Personality Traits
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Subjective socioeconomic status causes aggression: A test of the theory of social deprivation.
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The Dark Triad and dispositional aggression
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The dark triad and intimate partner violence
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Theoretical and empirical concerns regarding the dark triad as a construct
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Deception abilities emerged in large language models
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Male and female face of Machiavellianism: Opportunism or anxiety?
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Predicting SNS addiction with the Big Five and the Dark Triad
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“These traits share some characteristics in common, such as manipulation, selfishness, insensitivity, lack of empathy and affection [24].”
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Psychometric properties of a scale to measure the dark side of personality
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Emotion recognition and moral utilitarianism in the dark triad of personality.
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- Authors
- Furnham, A., Richards, S. C., & Paulhus, D. L.
- Affiliations
- University College London (GB)
- University of British Columbia (CA)
- Venue
- Social and Personality Psychology Compass
- Publisher
- Wiley
- Published
- 2013-03
- Volume
- 7
- Issue
- 3
- Pages
- 199-216
- ISSN
- 1751-9004 (ISSN-L)
- OpenAlex
- W1955478055
- Cited by
- 1,619
- References
- 130
- Citations by year
- 2026: 122 · 2025: 126 · 2024: 149 · 2023: 169 · 2022: 176 · 2021: 168 · 2020: 181 · 2019: 131 · 2018: 111 · 2017: 98 · 2016: 81 · 2015: 61 · 2014: 36 · 2013: 9 · 2012: 1
- FWCI
- 69.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social and Personality Psychology Compass (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Keywords
- Dark Triad, Machiavellianism, narcissism, subclinical psychopathy, callousness, manipulation, interpersonal circumplex, Big Five personality traits, six-factor model, personality structure
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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