Motivated Reasoning and Blame: Responses to Performance Framing and Outgroup Triggers during COVID-19
Gregory A. Porumbescu, Donald Moynihan, Jason Anastasopoulos, Asmus, Leth Olsen

TL;DR
This study investigates how political ideology influences responses to government blame-shifting strategies during COVID-19, revealing motivated reasoning, framing effects, and potential alienation of supporters through divisive language.
Contribution
It provides novel experimental evidence on how blame avoidance tactics and framing impact public perception and partisan responses during a health crisis.
Findings
Conservatives rate government performance more positively and blame Democrats and Chinese entities more.
Framing effects influence blame attribution among conservatives in open responses.
Use of divisive language like 'Chinese virus' increases blame on Chinese residents and may alienate supporters.
Abstract
To manage citizen evaluations of government performance, public officials use blame avoidance strategies when communicating performance information. We examine two prominent presentational strategies: scapegoating and spinning, while testing how public responses vary depending on whether they are ideologically aligned with the public official. We examine these relationships in the context of the COVID-19 pandemic, where the Trump administration sought to shift blame by scapegoating outgroups (by using the term "Chinese virus"), and framing performance information on COVID-19 testing in positive terms. Using a novel pre-registered survey experiment that incorporates open and close-ended items, we offer three main findings. First, there is clear evidence of motivated reasoning: conservatives rate the performance of the Trump administration more positively and are more apt to blame…
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Taxonomy
TopicsPublic Policy and Administration Research · Electoral Systems and Political Participation · Social Media and Politics
