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Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags

BACKGROUND: Although “infodemiological” methods have been used in research on coronavirus disease (COVID-19), an examination of the extent of infodemic moniker (misinformation) use on the internet remains limited. OBJECTIVE: The aim of this paper is to investigate internet search behaviors related t...

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Detalles Bibliográficos
Autores principales: Rovetta, Alessandro, Bhagavathula, Akshaya Srikanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458585/
https://www.ncbi.nlm.nih.gov/pubmed/32748790
http://dx.doi.org/10.2196/20673
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author Rovetta, Alessandro
Bhagavathula, Akshaya Srikanth
author_facet Rovetta, Alessandro
Bhagavathula, Akshaya Srikanth
author_sort Rovetta, Alessandro
collection PubMed
description BACKGROUND: Although “infodemiological” methods have been used in research on coronavirus disease (COVID-19), an examination of the extent of infodemic moniker (misinformation) use on the internet remains limited. OBJECTIVE: The aim of this paper is to investigate internet search behaviors related to COVID-19 and examine the circulation of infodemic monikers through two platforms—Google and Instagram—during the current global pandemic. METHODS: We have defined infodemic moniker as a term, query, hashtag, or phrase that generates or feeds fake news, misinterpretations, or discriminatory phenomena. Using Google Trends and Instagram hashtags, we explored internet search activities and behaviors related to the COVID-19 pandemic from February 20, 2020, to May 6, 2020. We investigated the names used to identify the virus, health and risk perception, life during the lockdown, and information related to the adoption of COVID-19 infodemic monikers. We computed the average peak volume with a 95% CI for the monikers. RESULTS: The top six COVID-19–related terms searched in Google were “coronavirus,” “corona,” “COVID,” “virus,” “corona virus,” and “COVID-19.” Countries with a higher number of COVID-19 cases had a higher number of COVID-19 queries on Google. The monikers “coronavirus ozone,” “coronavirus laboratory,” “coronavirus 5G,” “coronavirus conspiracy,” and “coronavirus bill gates” were widely circulated on the internet. Searches on “tips and cures” for COVID-19 spiked in relation to the US president speculating about a “miracle cure” and suggesting an injection of disinfectant to treat the virus. Around two thirds (n=48,700,000, 66.1%) of Instagram users used the hashtags “COVID-19” and “coronavirus” to disperse virus-related information. CONCLUSIONS: Globally, there is a growing interest in COVID-19, and numerous infodemic monikers continue to circulate on the internet. Based on our findings, we hope to encourage mass media regulators and health organizers to be vigilant and diminish the use and circulation of these infodemic monikers to decrease the spread of misinformation.
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spelling pubmed-74585852020-09-03 Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags Rovetta, Alessandro Bhagavathula, Akshaya Srikanth J Med Internet Res Original Paper BACKGROUND: Although “infodemiological” methods have been used in research on coronavirus disease (COVID-19), an examination of the extent of infodemic moniker (misinformation) use on the internet remains limited. OBJECTIVE: The aim of this paper is to investigate internet search behaviors related to COVID-19 and examine the circulation of infodemic monikers through two platforms—Google and Instagram—during the current global pandemic. METHODS: We have defined infodemic moniker as a term, query, hashtag, or phrase that generates or feeds fake news, misinterpretations, or discriminatory phenomena. Using Google Trends and Instagram hashtags, we explored internet search activities and behaviors related to the COVID-19 pandemic from February 20, 2020, to May 6, 2020. We investigated the names used to identify the virus, health and risk perception, life during the lockdown, and information related to the adoption of COVID-19 infodemic monikers. We computed the average peak volume with a 95% CI for the monikers. RESULTS: The top six COVID-19–related terms searched in Google were “coronavirus,” “corona,” “COVID,” “virus,” “corona virus,” and “COVID-19.” Countries with a higher number of COVID-19 cases had a higher number of COVID-19 queries on Google. The monikers “coronavirus ozone,” “coronavirus laboratory,” “coronavirus 5G,” “coronavirus conspiracy,” and “coronavirus bill gates” were widely circulated on the internet. Searches on “tips and cures” for COVID-19 spiked in relation to the US president speculating about a “miracle cure” and suggesting an injection of disinfectant to treat the virus. Around two thirds (n=48,700,000, 66.1%) of Instagram users used the hashtags “COVID-19” and “coronavirus” to disperse virus-related information. CONCLUSIONS: Globally, there is a growing interest in COVID-19, and numerous infodemic monikers continue to circulate on the internet. Based on our findings, we hope to encourage mass media regulators and health organizers to be vigilant and diminish the use and circulation of these infodemic monikers to decrease the spread of misinformation. JMIR Publications 2020-08-25 /pmc/articles/PMC7458585/ /pubmed/32748790 http://dx.doi.org/10.2196/20673 Text en ©Alessandro Rovetta, Akshaya Srikanth Bhagavathula. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Rovetta, Alessandro
Bhagavathula, Akshaya Srikanth
Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags
title Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags
title_full Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags
title_fullStr Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags
title_full_unstemmed Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags
title_short Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags
title_sort global infodemiology of covid-19: analysis of google web searches and instagram hashtags
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458585/
https://www.ncbi.nlm.nih.gov/pubmed/32748790
http://dx.doi.org/10.2196/20673
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