Evidence map›Paper›PMID 37292581›Full record

ArticleJamba (Potchefstroom, South Africa)2023

Mitigating misinformation about the COVID-19 infodemic on social media: A conceptual framework.

Sivile Manene, Charity Hove, Liezel Cilliers

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sivile ManeneDepartment of Information Systems, Faculty of Management and Commerce, University of Fort Hare, East London, South Africa.ORCID https://orcid.org/0000-0001-6194-0010
Charity HoveDepartment of Information Systems, Faculty of Management and Commerce, University of Fort Hare, East London, South Africa.ORCID https://orcid.org/0000-0001-5579-0992
Liezel CilliersDepartment of Information Systems, Faculty of Management and Commerce, University of Fort Hare, East London, South Africa.ORCID https://orcid.org/0000-0001-9493-4311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During coronavirus disease 2019 (COVID-19), the term 'infodemic' was used to depict the abundance of information about COVID-19 on social media that may overwhelm users, as well as misinformation about the virus because of the lack of authentication of information posted on social media. Both the World Health Organization and United Nations have warned that infodemics can become a severe threat to health care if misinformation on social media is not addressed in a timely manner. The objective of this study was to develop a conceptual framework that can be used to mitigate misinformation about the COVID-19 infodemic on social media. A structured literature review of purposively sampled scholarly publications from academic databases was conducted. The inclusion criteria chosen were scholarly papers that investigated infodemics on social media during the COVID-19 pandemic in the past 4 years, which were analysed using thematic and content analysis. The conceptual framework used Activity Theory as the theoretical foundation. The framework identifies a set of strategies and activities for both social media platforms and users to mitigate misinformation on social media during a pandemic. This study, therefore, recommends that stakeholders utilise the developed framework on social media to reduce the spread of misinformation. Contribution: Based on the literature review, there are negative health outcomes during a social media infodemic because of the spread of misinformation on social media. The study concluded that by implementing a set of strategies and activities identified through the framework, health information can be managed on social media to improve health outcomes.

Indexed as

activity theoryCOVID-19infodemicmisinformationsocial media

Identifiers

PMID37292581
PMCPMC10244827

What OpenQuestion holds

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LicenceCC BY
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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.