Dark personalities on Facebook: Harmful online behaviors and language
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Research has shown that the personality traits that make up dark triad play a crucial role in adding to the Internet and social networks.
“Research has shown that the personality traits that make up dark triad play a crucial role in adding to the Internet and social networks [19,20,21].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [19]
The citation lists haven’t been fetched yet
References 57 · Cited by 78
- Authors
- Bogolyubova, O., Panicheva, P., Tikhonov, R., Ivanov, V., & Ledovaya, Y.
- Affiliations
- Clarkson University (US)
- St Petersburg University (RU)
- Corresponding author
- Bogolyubova, Olga
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 78
- Pages
- 151-159
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2759142473
- Cited by
- 78
- References
- 57
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 8 · 2023: 8 · 2022: 11 · 2021: 7 · 2020: 12 · 2019: 13 · 2018: 8 · 2017: 1
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Funders
- St. Petersburg State University (8.38.351.2015)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- dark personality traits, Dark Triad, Facebook, online aggression, psychopathy, gender differences, online language, wall posts
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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