2020
DOI: 10.31235/osf.io/h6z4f
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Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement

Abstract: In public health crises, the media and governments routinely share statistical analyses with the public. In the COVID-19 pandemic, the tool most commonly used to convey statistical information about the spread of the virus has been time-series graphs about the cumulative number of cases. When drawing such graphs, analysts have to make design decisions which can have dramatic effects on citizens’ interpretations. Plotting the COVID-19 progression on a linear scale highlights an exponential “explosion” in the nu… Show more

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Cited by 4 publications
(2 citation statements)
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“…Analysis of these interactions is important since there is evidence that the COVID-19 pandemic had an impact on government support (Bol et al, 2020 ). The Canadian political science community wasted no time in analyzing the COVID-19 pandemic, and a number of excellent studies have been published (Sevi et al, 2020 ; Malloy, 2020 ; Pickup et al, 2020 ; Miller, 2020a , 2020b ; van der Linden and Savoie, 2020 ; Motta et al, 2020 ). All of these studies have emphasized the importance of the COVID-19 pandemic to the Canadian political system and society.…”
Section: Introductionmentioning
confidence: 99%
“…Analysis of these interactions is important since there is evidence that the COVID-19 pandemic had an impact on government support (Bol et al, 2020 ). The Canadian political science community wasted no time in analyzing the COVID-19 pandemic, and a number of excellent studies have been published (Sevi et al, 2020 ; Malloy, 2020 ; Pickup et al, 2020 ; Miller, 2020a , 2020b ; van der Linden and Savoie, 2020 ; Motta et al, 2020 ). All of these studies have emphasized the importance of the COVID-19 pandemic to the Canadian political system and society.…”
Section: Introductionmentioning
confidence: 99%
“…Other behavioural and attitudinal studies include Ryan Briggs's (2020) estimates of local back-to-work expectations; Joanne Miller's (2020a, 2020b) analyses of COVID-19 conspiracy theories; Laura French Bourgeois et al (2020) on COVID-19 behaviour and civic duty; and Matt Motta et al's (2020) study of right-wing media consumption and public health beliefs. Finally, pandemic framing and framing effects were explored at the individual level by Sevi et al (2020) and in Canadian media outputs by Poirier et al (2020).…”
mentioning
confidence: 99%