2021
DOI: 10.1371/journal.pone.0258189
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Will I die of coronavirus? Google Trends data reveal that politics determine virus fears

Abstract: 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 C… Show more

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Cited by 6 publications
(3 citation statements)
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“…GT is also used by political scientists to study public opinion (Vasconcellos-Silva et al, 2017), voter behavior (Raubenheimer et al, 2021), and political campaigns (Timoneda & Vallejo Vera, 2021). To elaborate, as an example, in political science, GT has been used to measure issue salience, a measure of how important an issue is to voters (Mellon, 2013(Mellon, , 2014.…”
Section: Applications In Academic Researchmentioning
confidence: 99%
“…GT is also used by political scientists to study public opinion (Vasconcellos-Silva et al, 2017), voter behavior (Raubenheimer et al, 2021), and political campaigns (Timoneda & Vallejo Vera, 2021). To elaborate, as an example, in political science, GT has been used to measure issue salience, a measure of how important an issue is to voters (Mellon, 2013(Mellon, , 2014.…”
Section: Applications In Academic Researchmentioning
confidence: 99%
“…Large numbers of individuals search for health information online [ 36 , 37 ]. As with previous infectious diseases [ 38 ], the public turned to the internet for information on the novel coronavirus [ 39 - 41 ]. Unfortunately, false information about the COVID-19 pandemic on social media has been extensive [ 42 - 44 ] and viewed by millions of people [ 45 ].…”
Section: Risksmentioning
confidence: 99%
“…Large numbers of individuals search for health information online [36,37]. As with previous infectious diseases [38], the public turned to the internet for information on the novel coronavirus [39][40][41]. Unfortunately, false information about the COVID-19 pandemic on social media has been extensive [42][43][44] and viewed by millions of people [45].…”
Section: Risksmentioning
confidence: 99%