Evidence map›Paper›PMID 42002728›Full record

ArticleBMC public health2026

User online reputation and anti-cyberbullying behavior on social media: the moderating role of online profile.

Xuefan Dong, Chen Wang, Lei Tang, Ying Lian

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xuefan DongCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, PR China.
Chen WangCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, PR China.
Lei TangCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, PR China.
Ying LianSchool of Journalism, Communication University of China, No.1 Dingfuzhuang East Street, Beijing, 100024, PR China. lianying@cuc.edu.cn.

Funding

National Natural Science Foundation of China 72274010National Natural Science Foundation of China 72404250
6 · The paper itself

Abstract

Cyberbullying causes serious psychological harm, while user-initiated anti-cyberbullying actions play an important bottom-up role in online environments. Based on Social Identity Theory, this study examines the association between users’ online reputation (verification status, VIP level, and credit level) and anti-cyberbullying engagement, as well as the moderating role of online profile. Using 1.76 million Weibo posts from 2016 to 2020, a BI-LSTM model identified 41,097 anti-cyberbullying posts. Two measures were constructed: engagement frequency (ACEF) and engagement persistence (ACEP), which captures the temporal distribution of participation. The results show that higher platform-recognized reputation is positively associated with both more frequent and more sustained anti-cyberbullying participation. This positive association is stronger for users whose profiles reflect freedom-oriented or security-oriented values, and weaker for those with simplicity-oriented self-presentations. A user–month panel analysis further indicates that reputation-related social visibility in the preceding period is positively associated with anti-cyberbullying engagement in the subsequent period, consistent with temporal ordering. By combining large-scale behavioral data with Social Identity Theory, this study shows how status, visibility, and identity salience jointly shape bottom-up anti-cyberbullying norm enforcement on social media.

Indexed as

CyberbullyingSocial MediaDigital MediaHumansSocial IdentificationAnti-Cyberbullying BehaviorSocial Identity TheorySocial MediaUser online ProfileUser Online Reputation

Identifiers

PMID42002728
PMCPMC13224605

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.