Evidence map›Paper›PMID 42516180›Full record

ArticleFrontiers in psychology2026

Mobilizing the bystanders: How social capital drives user reporting on social media harmful content.

Hong Zhou, Yan Ye

Abstract read
In one paragraph

Article in Frontiers in 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.

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

2 authors.

Hong ZhouSchool of Artificial Intelligence and Big Data, Wuhan Business University, Wuhan, China.
Yan YeLibrary, Northwest A&F University, Yangling, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

User reporting is a critical governance mechanism for addressing harmful content, such as misinformation, cyberbullying, and hate speech, on social media platforms. Prior research, largely grounded in the online bystander intervention framework, has emphasized users' situational responses to specific incidents, paying relatively less attention to the enduring social relationships that embed reporting behavior within platform communities. This study draws on social capital theory to conceptualize user reporting as a socially embedded practice. Structural social capital, reflected in social interaction ties; relational social capital, reflected in identification; and cognitive social capital, reflected in value congruence, are theorized to shape users' sense of belonging, altruistic motivation, and reporting self-efficacy, three more immediate psychological mechanisms that help translate communal resources into reporting engagement. Data from a two-wave online survey conducted across multiple Chinese social media platforms were analyzed using partial least squares structural equation modeling (PLS-SEM). The findings show that social interaction ties, identification, and value congruence are associated with reporting engagement mainly through these psychological mechanisms. This work extends online bystander intervention research by demonstrating how users' social capital in platform communities underpins sustained reporting participation, and it offers practical insights for designing reporting systems that leverage community-based social resources.

Indexed as

harmful contentonline bystander interventionsocial capitalsocial media platformsuser reporting

Identifiers

PMID42516180
PMCPMC13402366

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.