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The COVID-19 Infodemic: A Quantitative Analysis Through Facebook
Background Social media is a crucial part of our daily life. Facebook, being the biggest social media platform, plays a significant role in the spread of information influencing the global response to the COVID-19 pandemic. Health care agencies like the World Health Organization (WHO) and Centers fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719473/ https://www.ncbi.nlm.nih.gov/pubmed/33304681 http://dx.doi.org/10.7759/cureus.11346 |
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author | Ahmed, Naseem Shahbaz, Tooba Shamim, Asma Shafiq Khan, Kiran Hussain, S.M. Usman, Asad |
author_facet | Ahmed, Naseem Shahbaz, Tooba Shamim, Asma Shafiq Khan, Kiran Hussain, S.M. Usman, Asad |
author_sort | Ahmed, Naseem |
collection | PubMed |
description | Background Social media is a crucial part of our daily life. Facebook, being the biggest social media platform, plays a significant role in the spread of information influencing the global response to the COVID-19 pandemic. Health care agencies like the World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) use social media as a platform to impart information regarding COVID-19; simultaneously, there is a spread of misinformation on social media, masking the credible sources of information. Our research aims to assess the utility of Facebook in providing misinformation and testing its “fact-check policy.” Methods An online search was conducted on Facebook by a newly created account to eliminate bias. The Facebook search bar was used to investigate multiple keywords. Data were tabulated in Microsoft Excel (Microsoft Corporation, Redmond, WA). Descriptive statistical analysis of Facebook accounts and posts was done using the Statistical Package for the Social Sciences (SPSS) version 26 (IBM Corp., Armonk, NY) while statistical importance was set a priority at a p-value of 0.05. Results Our study consisted of 454 Facebook posts. Most (22.5%) were posted by verified accounts and 23.9% by informal individual/group accounts. The tone for most (40.4%) COVID-19 information was serious while the most common (43.9%) topic was medical/public health. In total, 22.3% included misinformation, 19.6% were unverifiable, and 27.5% included correct information verifiable by the WHO or CDC. Conclusions Misinformation/unverifiable information related to the COVID-19 crisis is spreading at a distressing rate on social media. We quantified the misinformation and tested Facebook’s “fact-check policy.” We advise strict initiatives to control this infodemic and advise future researches to evaluate the accuracy of content being circulated on other social media platforms. |
format | Online Article Text |
id | pubmed-7719473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-77194732020-12-09 The COVID-19 Infodemic: A Quantitative Analysis Through Facebook Ahmed, Naseem Shahbaz, Tooba Shamim, Asma Shafiq Khan, Kiran Hussain, S.M. Usman, Asad Cureus Pathology Background Social media is a crucial part of our daily life. Facebook, being the biggest social media platform, plays a significant role in the spread of information influencing the global response to the COVID-19 pandemic. Health care agencies like the World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) use social media as a platform to impart information regarding COVID-19; simultaneously, there is a spread of misinformation on social media, masking the credible sources of information. Our research aims to assess the utility of Facebook in providing misinformation and testing its “fact-check policy.” Methods An online search was conducted on Facebook by a newly created account to eliminate bias. The Facebook search bar was used to investigate multiple keywords. Data were tabulated in Microsoft Excel (Microsoft Corporation, Redmond, WA). Descriptive statistical analysis of Facebook accounts and posts was done using the Statistical Package for the Social Sciences (SPSS) version 26 (IBM Corp., Armonk, NY) while statistical importance was set a priority at a p-value of 0.05. Results Our study consisted of 454 Facebook posts. Most (22.5%) were posted by verified accounts and 23.9% by informal individual/group accounts. The tone for most (40.4%) COVID-19 information was serious while the most common (43.9%) topic was medical/public health. In total, 22.3% included misinformation, 19.6% were unverifiable, and 27.5% included correct information verifiable by the WHO or CDC. Conclusions Misinformation/unverifiable information related to the COVID-19 crisis is spreading at a distressing rate on social media. We quantified the misinformation and tested Facebook’s “fact-check policy.” We advise strict initiatives to control this infodemic and advise future researches to evaluate the accuracy of content being circulated on other social media platforms. Cureus 2020-11-05 /pmc/articles/PMC7719473/ /pubmed/33304681 http://dx.doi.org/10.7759/cureus.11346 Text en Copyright © 2020, Ahmed et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Pathology Ahmed, Naseem Shahbaz, Tooba Shamim, Asma Shafiq Khan, Kiran Hussain, S.M. Usman, Asad The COVID-19 Infodemic: A Quantitative Analysis Through Facebook |
title | The COVID-19 Infodemic: A Quantitative Analysis Through Facebook |
title_full | The COVID-19 Infodemic: A Quantitative Analysis Through Facebook |
title_fullStr | The COVID-19 Infodemic: A Quantitative Analysis Through Facebook |
title_full_unstemmed | The COVID-19 Infodemic: A Quantitative Analysis Through Facebook |
title_short | The COVID-19 Infodemic: A Quantitative Analysis Through Facebook |
title_sort | covid-19 infodemic: a quantitative analysis through facebook |
topic | Pathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719473/ https://www.ncbi.nlm.nih.gov/pubmed/33304681 http://dx.doi.org/10.7759/cureus.11346 |
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