Evidence map›Paper›PMID 40598633›Full record

ArticleBMC psychology2025

Dark personality traits are associated with academic misconduct, frustration, negative thinking, and generative AI use habits: the case of Sichuan art universities.

Jingyi Song, Shuyan Liu

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jingyi SongDepartment of International Culture and Education, Chodang University, Muangun, South Korea.
Shuyan LiuGraduate School, Baekseok University, Seoul, South Korea. methodresearch@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcademic misconduct among students is common, particularly now that AI tools are widely available. Students with dark personality traits may be more likely to engage in misconduct. Drawing on social cognitive theory, this study examines how the dark personality traits of materialism, narcissism, psychopathy, and Machiavellianism are associated with academic dishonesty, anxiety, and procrastination, and, in turn, frustration, negative thinking and generative AI use habits.

methodSelf-reported data from 504 Chinese university art students were analyzed using structural equation modeling.

resultsResults showed that dark personality traits were significantly associated with academic dishonesty, anxiety, and procrastination, and that these markers of academic misbehavior were linked to increased frustration, negative thinking, and generative AI use.

conclusionThe findings highlight how personality traits are related to problematic academic behaviors and psychological difficulties. Academic institutions should provide appropriate training and psychological support to counter academic dishonesty and ensure students understand the value of academic ethics.

Indexed as

PersonalityPessimismStudentsAdolescentAdultAnxietyChinaDeceptionFemaleHumansMachiavellianismMaleNarcissismProcrastinationUniversitiesYoung AdultAcademic misconductDark personality traitsDishonestyGenerative AI useProcrastination

Identifiers

PMID40598633
PMCPMC12210804

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.