Evidence map›Paper›PMID 34360384›Full record

ReviewInternational journal of environmental research and public health2021

COVID-19 Misinformation Online and Health Literacy: A Brief Overview.

Salman Bin Naeem, Maged N Kamel Boulos

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06405048 (Evaluating the Feasibility and Effectiveness of a Mock-up Fact-checking Extension to Improve Ability to Debunk HPV Vaccine Misinformation Among Parents of Middle School Girls), which is not on this map. Cited by 105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 2 pooled it
84.0field-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.

NCT06405048 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Evaluating the Feasibility and Effectiveness of a Mock-up Fact-checking Extension to Improve Ability to Debunk HPV Vaccine Misinformation Among Parents of Middle School Girls: A Survey Experiment

TypeinterventionalSponsorFudan UniversityRan2024 to 2024Enrolled1,200ConditionsHPV VaccineArmsMobile Weibo post screenshot with mock-up Chinese fact-checking extension
3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 2 syntheses or guidelines pooled it, 284 citations in OpenAlex.

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45 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Salman Bin NaeemDepartment of Library & Information Science, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Maged N Kamel BoulosInformation Management School, Sun Yat-sen University, Guangzhou 510006, China.ORCID 0000-0003-2400-6303
Islamia University of Bahawalpur · PKSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low digital health literacy affects large percentages of populations around the world and is a direct contributor to the spread of COVID-19-related online misinformation (together with bots). The ease and 'viral' nature of social media sharing further complicate the situation. This paper provides a quick overview of the magnitude of the problem of COVID-19 misinformation on social media, its devastating effects, and its intricate relation to digital health literacy. The main strategies, methods and services that can be used to detect and prevent the spread of COVID-19 misinformation, including machine learning-based approaches, health literacy guidelines, checklists, mythbusters and fact-checkers, are then briefly reviewed. Given the complexity of the COVID-19 infodemic, it is very unlikely that any of these approaches or tools will be fully effective alone in stopping the spread of COVID-19 misinformation. Instead, a mixed, synergistic approach, combining the best of these strategies, methods, and services together, is highly recommended in tackling online health misinformation, and mitigating its negative effects in COVID-19 and future pandemics. Furthermore, techniques and tools should ideally focus on evaluating both the message (information content) and the messenger (information author/source) and not just rely on assessing the latter as a quick and easy proxy for the trustworthiness and truthfulness of the former. Surveying and improving population digital health literacy levels are also essential for future infodemic preparedness.

Indexed as

COVID-19Health LiteracySocial MediaCommunicationHumansPandemicsSARS-CoV-2COVID-19digital health literacydisinformationhealth literacyinfodemicmisinformationsocial media

Identifiers

PMID34360384
PMCPMC8345771
OpenAlexW3192149658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.