Evidence map›Paper›PMID 34334932›Full record

ArticleComputers in human behavior2021

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic.

Peng Luo, Chenxiao Wang, Feng Guo, Li Luo

Open access · greenAbstract read
In one paragraph

Article in Computers in human behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
21.6field-weighted citation impact, top 1% of its field
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

22 citing papers in PubMed, 67 citations in OpenAlex.

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  11. COVID-19 and telemedicine: A netnography approach.Technological forecasting and social change · 2023
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  19. The Effects of Personality Traits on Online Rumor Sharing: The Mediating Role of Fear of COVID-19.International journal of environmental research and public health · 2022
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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 at 3 institutions in 1 country.

Peng LuoSchool of Business, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, China.
Chenxiao WangSchool of Management, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin, 150001, China.
Feng GuoCollege of Management and Economics, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China.
Li LuoSchool of Business, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, China.
Sichuan University · CNHarbin Institute of Technology · CNTianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the outbreak of COVID-19, online sharing of rumors about the disease is of growing concern worldwide. Drawing on the stimulus-organism-response (S-O-R) framework, this study aims to explore the impacts of peer condition and peer communication on fear of COVID-19, and the impact of fear of COVID-19 on online rumor sharing behavior, by considering the contingency effect of health self-efficacy. Data from 1167 respondents to an online survey in China were adopted to test our research model. The results indicate that peer communication and peer condition induce fear of COVID-19, and fear of COVID-19 results in online rumor sharing. Fear of COVID-19 mediates the effects of peer communication and peer condition on online rumor sharing. Health self-efficacy alleviates the positive effect of peer communication on fear of COVID-19, and the positive effect of fear of COVID-19 on online rumor sharing. This study advances the literature on online rumor sharing and S-O-R, and provides practical implications to social media users and governments.

Indexed as

COVID-19Peer communicationPeer conditionRumor sharingStimulus–organism–response framework

Identifiers

PMID34334932
PMCPMC8314969
OpenAlexW3185907450

What OpenQuestion holds

Textmetadata
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.