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COVID-19 Misinformation Online and Health Literacy: A Brief Overview
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345771/ https://www.ncbi.nlm.nih.gov/pubmed/34360384 http://dx.doi.org/10.3390/ijerph18158091 |
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author | Bin Naeem, Salman Kamel Boulos, Maged N. |
author_facet | Bin Naeem, Salman Kamel Boulos, Maged N. |
author_sort | Bin Naeem, Salman |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8345771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83457712021-08-07 COVID-19 Misinformation Online and Health Literacy: A Brief Overview Bin Naeem, Salman Kamel Boulos, Maged N. Int J Environ Res Public Health Review 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. MDPI 2021-07-30 /pmc/articles/PMC8345771/ /pubmed/34360384 http://dx.doi.org/10.3390/ijerph18158091 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bin Naeem, Salman Kamel Boulos, Maged N. COVID-19 Misinformation Online and Health Literacy: A Brief Overview |
title | COVID-19 Misinformation Online and Health Literacy: A Brief Overview |
title_full | COVID-19 Misinformation Online and Health Literacy: A Brief Overview |
title_fullStr | COVID-19 Misinformation Online and Health Literacy: A Brief Overview |
title_full_unstemmed | COVID-19 Misinformation Online and Health Literacy: A Brief Overview |
title_short | COVID-19 Misinformation Online and Health Literacy: A Brief Overview |
title_sort | covid-19 misinformation online and health literacy: a brief overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345771/ https://www.ncbi.nlm.nih.gov/pubmed/34360384 http://dx.doi.org/10.3390/ijerph18158091 |
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