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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...

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Autores principales: Ahmed, Naseem, Shahbaz, Tooba, Shamim, Asma, Shafiq Khan, Kiran, Hussain, S.M., Usman, Asad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2020
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.
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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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