Evidence map›Paper›PMID 34672323›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Dynamics of social corrections to peers sharing COVID-19 misinformation on WhatsApp in Brazil.

Santosh Vijaykumar, Daniel T Rogerson, Yan Jin, Mariella Silva de Oliveira Costa

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Santosh VijaykumarDepartment of Psychology, Northumbria University, Newcastle upon Tyne, UK.
Daniel T RogersonCOCO Lab, Northumbria University, Newcastle upon Tyne, UK.
Yan JinDepartment of Advertising and Public Relations, University of Georgia, Athens, USA.
Mariella Silva de Oliveira CostaCommunication Office, Oswaldo Cruz Foundation, Brasilia, Brazil.

Funding

WhatsApp Social Science Misinformation Research Award
6 · The paper itself

Abstract

objectiveOnline COVID-19 misinformation is a serious concern in Brazil, home to the second-largest WhatsApp user base and the second-highest number of COVID-19 deaths. We examined the extent to which WhatsApp users might be willing to correct their peers who might share COVID-19 misinformation. MATERIALS AND

methodsWe conducted a cross-sectional online survey using Qualtrics among 726 Brazilian adults to identify the types of social correction behaviors (SCBs) and health and technological factors that shape the performance of these behaviors.

resultsBrazil's WhatsApp users expressed medium to high levels of willingness to engage in SCBs. We discovered 3 modes of SCBs: correction to the group, correction to the sender only, and passive or no correction. WhatsApp users with lower levels of educational attainment and from younger age groups were less inclined to provide corrections. Lastly, the perceived severity of COVID-19 and the ability to critically evaluate a message were positively associated with providing corrections to either the group or the sender. DISCUSSION: The demographic analyses point to the need to strengthen information literacy among population groups that are younger with lower levels of educational attainment. These efforts could facilitate individual-level contributions to the global fight against misinformation by the World Health Organization in collaboration with member states, social media companies, and civil society.

conclusionOur study suggests that Brazil's WhatsApp users might be willing to actively respond with feedback when exposed to COVID-19 misinformation by their peers on small-world networks like WhatsApp groups.

Indexed as

COVID-19Social MediaAdultBrazilCommunicationCross-Sectional StudiesHumansSARS-CoV-2behaviorBrazilcorrectionCOVID-19misinformationsocial media

Identifiers

PMID34672323
PMCPMC8586730

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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.