The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
A systematic literature review of the relationship between dark personality traits and antisocial online behaviours
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In the citing paper
“Several researches reveal that dark triad’s personality traits seem to be positively associated with the problematic addition to the Internet [32] and with online antisocial behaviors, particularly cyberstalking [9,16], online trolling [10,33,34] and cyberbullying [35].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [16]
In the citing paper
“In turn, the results of the systematic review of the literature conducted by Moor and Anderson [16] suggest that psychopathy is the darkest of traits, based on its ability to predict behaviors of “high severity”, namely cyberaggression and technology facilitated sexual violence.”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [16]
In the citing paper
“These associations reinforce the behavioral characteristics of these individuals and how they may behave on the Internet, allowing us to suggest that dimensions of the dark triad of personality explain online behaviors [4,9,10,16,20,32,34,35,38,39,63].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [16]
In the citing paper
“A meta-analysis of antisocial online behaviors found that psychopathy was the strongest and most consistent predictor of antisocial online behaviors, followed by Machiavellianism and everyday sadism (Moor & Anderson 2019)”
From Social Media and Morality. (2024) · cites this paper as Moor & Anderson 2019
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
An Introduction to the Five‐Factor Model and Its Applications
McCrae, R. R., & John, O. P. (1992) · Journal of Personality · doi:10.1111/j.1467-6494.1992.tb00970.x · Cited by 6,835
The dark triad of personality: Narcissism, Machiavellianism, and psychopathy
Paulhus, D. L., & Williams, K. M. (2002) · Journal of Research in Personality · doi:10.1016/s0092-6566(02)00505-6 · Cited by 5,265
Cochrane Handbook for Systematic Reviews of Interventions
Tarsilla, M. (2010) · Journal of MultiDisciplinary Evaluation · doi:10.56645/jmde.v6i14.284 · Cited by 5,232
Christie, R., & Geis, F. L. (1970) · Elsevier eBooks · doi:10.1016/c2013-0-10497-7 · Cited by 2,943
Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS)
Downes, M. J., Brennan, M. L., Williams, H. C., & Dean, R. S. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-011458 · Cited by 2,376
Raskin, R., & Terry, H. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.5.890 · Cited by 2,273
Cited by
Sorted by citations
Screening for Dark Personalities
Paulhus, D. L., Buckels, E. E., Trapnell, P. D., & Jones, D. N. (2020) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000602 · Cited by 436
Narcissism and problematic social media use: A systematic literature review
Casale, S., & Banchi, V. (2020) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2020.100252 · Cited by 212
Social networking site use and self-esteem: a meta-analytic review
Saiphoo, A. N., Dahoah Halevi, L., & Vahedi, Z. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2019.109639 · Cited by 164
On the relation of boredom and sadistic aggression.
Pfattheicher, S., Lazarević, L. B., Westgate, E. C., & Schindler, S. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000335 · Cited by 125
Van Bavel, J. J., Robertson, C. E., del Rosario, K., Rasmussen, J., & Rathje, S. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-022123-110258 · Cited by 121
Metadata
- Authors
- Moor, L., & Anderson, J. R.
- Affiliations
- Australian Catholic University (AU)
- Corresponding author
- Anderson, Joel R.
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 144
- Pages
- 40-55
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W2918479466
- Cited by
- 231
- References
- 75
- Citations by year
- 2026: 27 · 2025: 35 · 2024: 40 · 2023: 41 · 2022: 38 · 2021: 24 · 2020: 20 · 2019: 5
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Personality and Individual Differences (publishedVersion)
- Funders
- Australian Catholic University
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- dark personality traits, Dark Triad, Dark Tetrad, narcissism, psychopathy, Machiavellianism, everyday sadism, trolling, online aggression, cyberbullying, social media addiction, problematic online gaming, internet use disorders, cyberstalking, technology-facilitated sexual violence, sexting
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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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