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Misinformation During a Pandemic

Leonardo Bursztyn, Aakaash Rao, Christopher P. Roth and David Yanagizawa-Drott ()

No 27417, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Media outlets often present diverging, even conflicting, perspectives on reality — not only informing, but potentially misinforming audiences. We study the extent to which misinformation broadcast on mass media at the early stages of the coronavirus pandemic influenced health outcomes. We first document large differences in content between the two most popular cable news shows in the US, both on the same network, and in the adoption of preventative behaviors among viewers of these shows. Through both a selection-on-observables strategy and an instrumental variable approach, we find that areas with greater exposure to the show downplaying the threat of COVID-19 experienced a greater number of cases and deaths. We assess magnitudes through an epidemiological model highlighting the role of externalities and provide evidence that contemporaneous information exposure is a key underlying mechanism.

JEL-codes: D1 I31 Z13 (search for similar items in EconPapers)
Date: 2020-06
New Economics Papers: this item is included in nep-hea
Note: HE POL
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Working Paper: Misinformation During a Pandemic (2020) Downloads
Working Paper: Misinformation During a Pandemic (2020) Downloads
Working Paper: Misinformation during a Pandemic (2020) Downloads
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