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Controversial understandings of the coronavirus pandemic have turned datavisualizations into a battleground. Defying public health officials,coronavirus skeptics on US social media spent much of 2020 creating datavisualizations showing that the government's pandemic response was excessiveand that the crisis was over. This paper investigates how pandemicvisualizations circulated on social media, and shows that people who mistrustthe scientific establishment often deploy the same rhetorics of data-drivendecision-making used by experts, but to advocate for radical policy changes.Using a quantitative analysis of how visualizations spread on Twitter and anethnographic approach to analyzing conversations about COVID data on Facebook,we document an epistemological gap that leads pro- and anti-mask groups to drawdrastically different inferences from similar data. Ultimately, we argue thatthe deployment of COVID data visualizations reflect a deeper sociopoliticalrift regarding the place of science in public life.

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online