Evidence map›Paper›PMID 34162357›Full record

ArticleBMC public health2021

Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil.

Priscila Biancovilli, Lilla Makszin, Claudia Jurberg

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

3 authors.

Priscila BiancovilliDoctoral School of Health Sciences, University of Pécs, Pécs, Hungary. biancovilli.priscila@etk.pte.hu.
Lilla MakszinInstitute of Bioanalysis, Medical School, University of Pécs, Pécs, Hungary.
Claudia JurbergFederal University of Rio de Janeiro, Oncobiology Program, Institute of Medical Biochemistry Leopoldo de Meis, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the challenges posed by the novel coronavirus pandemic is the infodemic risk, that is, a huge amount of information being published on the topic, along with misinformation and rumours; with social media, this phenomenon is amplified, and it goes faster and further. Around 100 million people in Brazil (50% of the inhabitants) are users of social media networks - almost half of the country's population. Most of the information on the Internet is unregulated, and its quality remains questionable.

methodsIn this study, we examine the main characteristics of misinformation published on the topic. We analysed 232 pieces of misinformation published by the Brazilian fact-checking service "Agência Lupa". The following aspects of each news item were analysed: a) In what social media has it circulated?; b) What is the content classification, sentiment and type of misinformation?; d) Are there recurrent themes in the sample studied?

resultsMost were published on Facebook (76%), followed by WhatsApp, with 10% of total cases. Half of the stories (47%) are classified as "real-life", that is, the focus is on everyday situations, or circumstances involving people. Regarding the type of misinformation, there is a preponderance of fabricated content, with 53% of total, followed by false context (34%) and misleading content (13%). Wrong information was mostly published in text format (47%). We found that 92.9% of misinformation classified as "fabricated content" are "health tips", and 88.9% of "virtual scams" are also fabricated.

conclusionBrazilian media and science communicators must understand the main characteristics of misinformation in social media about COVID-19, so that they can develop attractive, up-to-date and evidence-based content that helps to increase health literacy and counteract the spread of false information.

Indexed as

COVID-19Social MediaBrazilCommunicationHumansPandemicsSARS-CoV-2Social NetworkingBrazilCoronavirusCOVID-19Fact checkMisinformationPandemicPoliticsSocial media

Identifiers

PMID34162357
PMCPMC8220426

What OpenQuestion holds

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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.