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Will I die of coronavirus? Google Trends data reveal that politics determine virus fears

Is Google Trends (GT) useful to survey populations? Extant work has shown that certain search queries reflect the attitudes of hard-to-survey populations, but we do not know if this extends to the general population. In this article, we leverage abundant data from the Covid-19 pandemic to assess whe...

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Detalles Bibliográficos
Autores principales: Timoneda, Joan C., Vallejo Vera, Sebastián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494313/
https://www.ncbi.nlm.nih.gov/pubmed/34614032
http://dx.doi.org/10.1371/journal.pone.0258189
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author Timoneda, Joan C.
Vallejo Vera, Sebastián
author_facet Timoneda, Joan C.
Vallejo Vera, Sebastián
author_sort Timoneda, Joan C.
collection PubMed
description Is Google Trends (GT) useful to survey populations? Extant work has shown that certain search queries reflect the attitudes of hard-to-survey populations, but we do not know if this extends to the general population. In this article, we leverage abundant data from the Covid-19 pandemic to assess whether people’s worries about the pandemic match epidemiological trends as well as political preferences. We use the string ‘will I die from coronavirus’ on GT as the measure for people’s level of distress regarding Covid-19. We also test whether concern for coronavirus is a partisan issue by contrasting GT data and 2016 election results. We find strong evidence that (1) GT search volume close matches epidemiological data and (2) significant differences exist between states that supported Clinton or Trump in 2016.
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spelling pubmed-84943132021-10-07 Will I die of coronavirus? Google Trends data reveal that politics determine virus fears Timoneda, Joan C. Vallejo Vera, Sebastián PLoS One Research Article Is Google Trends (GT) useful to survey populations? Extant work has shown that certain search queries reflect the attitudes of hard-to-survey populations, but we do not know if this extends to the general population. In this article, we leverage abundant data from the Covid-19 pandemic to assess whether people’s worries about the pandemic match epidemiological trends as well as political preferences. We use the string ‘will I die from coronavirus’ on GT as the measure for people’s level of distress regarding Covid-19. We also test whether concern for coronavirus is a partisan issue by contrasting GT data and 2016 election results. We find strong evidence that (1) GT search volume close matches epidemiological data and (2) significant differences exist between states that supported Clinton or Trump in 2016. Public Library of Science 2021-10-06 /pmc/articles/PMC8494313/ /pubmed/34614032 http://dx.doi.org/10.1371/journal.pone.0258189 Text en © 2021 Timoneda, Vallejo Vera 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 author and source are credited.
spellingShingle Research Article
Timoneda, Joan C.
Vallejo Vera, Sebastián
Will I die of coronavirus? Google Trends data reveal that politics determine virus fears
title Will I die of coronavirus? Google Trends data reveal that politics determine virus fears
title_full Will I die of coronavirus? Google Trends data reveal that politics determine virus fears
title_fullStr Will I die of coronavirus? Google Trends data reveal that politics determine virus fears
title_full_unstemmed Will I die of coronavirus? Google Trends data reveal that politics determine virus fears
title_short Will I die of coronavirus? Google Trends data reveal that politics determine virus fears
title_sort will i die of coronavirus? google trends data reveal that politics determine virus fears
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494313/
https://www.ncbi.nlm.nih.gov/pubmed/34614032
http://dx.doi.org/10.1371/journal.pone.0258189
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