Evidence map›Paper›PMID 42469932›Full record

ArticleBMC psychology2026

Big Five traits and cyberbullying severity as predictors of cyberbystander behavior among adults in the U.S.

Haojian Li, Brittany Wheeler, Deborah Hall, Yasin Silva

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Haojian LiDepartment of Communication, University of California, Davis, CA, USA. hjli@ucdavis.edu.ORCID http://orcid.org/0009-0008-9999-5015
Brittany WheelerDepartment of Communication, University of California, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0003-1847-2607
Deborah HallSchool of Social and Behavioral Sciences, Arizona State University, Glendale, AZ, USA.ORCID http://orcid.org/0000-0003-2450-3596
Yasin SilvaDepartment of Computer Science, Loyola University Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-1852-1683

Funding

National Science Foundation No. 2435164 / No. 2435165
6 · The paper itself

Abstract

backgroundWhereas correlates of cyberbullying have been studied extensively, there has been comparatively less work examining predictors of the different ways in which bystanders to cyberbullying might respond. Adopting a person-situation interaction approach, this study investigated the extent to which the Big Five personality traits and severity of cyberbullying interactively predict the likelihood of different cyberbystander behaviors.

methodsAdults in the U.S. (N = 303) took part in an online survey in which they were presented with a series of nine simulated social media interactions in the form of screenshots that involved exchanges between two social media users. Each screenshot depicted one of three distinct levels of cyberbullying severity: none, low severity, and high severity. For each screenshot, participants were asked to report the likelihood that they would respond in a range of ways as a bystander, including remaining a passive observer, confronting a bully, reinforcing a bully, supporting a victim, and flagging or reporting a post. Participants then completed a measure of the Big Five personality traits.

resultsRegardless of cyberbullying severity, participants were significantly more likely to indicate that they would remain a passive observer in response to the depicted social media interactions than any other cyberbystander behavior. Informative two-way interactions did, however, emerge between cyberbullying severity and cyberbystander behavior and between these variables and Big Five traits across a series of mixed effects models. A significant three-way interaction emerged for agreeableness, such that participants higher in agreeableness reported a greater likelihood of bystander action in response to high severity cyberbullying than those with moderate or lower levels of agreeableness.

conclusionsThis research offers support for the predictive value of both individual differences in the Big Five personality traits and cyberbullying severity for understanding diverse forms of cyberbystander behavior.

Indexed as

CyberbullyingPersonalitySocial MediaAdolescentAdultCrime VictimsFemaleHumansMaleMiddle AgedUnited StatesYoung AdultCyberbullyingCyberbystanderPersonalitySocial Media

Identifiers

PMID42469932
PMCPMC13551842

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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.