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Why are conservatives less concerned about the coronavirus (COVID-19) than liberals? Comparing political, experiential, and partisan messaging explanations

ABSTRACT: Given research revealing conservatives are more sensitive to disease threat, it is curious that U.S. conservatives were less concerned than liberals with the COVID-19 pandemic. Across four studies that spanned almost ten months throughout the pandemic, we evaluated three potential reasons why conservatives were less concerned: (1) Motivated Political reasons (conservatives held COVID-specific political beliefs that motivated them to reduce concern), (2) Experiential reasons (conservatives were less directly affected by the outbreak than liberals), and (3) Conservative Messaging reasons (differential exposure to/trust in partisan conservative messaging). All four studies consistently showed evidence that political (and not experiential or partisan messaging) reasons more strongly mediated conservatives' lack of concern for COVID-19. Additional analyses further suggested that while they did not serve as strong mediators, experiential factors provided a boundary condition for the conservatism➔perceived threat relationship. These data on over 3000 participants are consistent with a new model of the ideology-disease outbreak interface that can be applied to both the ongoing pandemic and future disease outbreaks.

SUBMITTER: Conway L

PROVIDER: S-EPMC8416547 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The COVID-19 pandemic is a global crisis that has been testing every society and exposing the critical role of local politics in crisis response. In the United States, there has been a strong partisan divide between the Democratic and Republican party's narratives about the pandemic which resulted in polarization of individual behaviors and divergent policy adoption across regions. As shown in this case, as well as in most major social issues, strongly polarized narrative frameworks facilitate such narratives. To understand polarization and other social chasms, it is critical to dissect these diverging narratives. Here, taking the Democratic and Republican political social media posts about the pandemic as a case study, we demonstrate that a combination of computational methods can provide useful insights into the different contexts, framing, and characters and relationships that construct their narrative frameworks which individual posts source from. Leveraging a dataset of tweets from the politicians in the U.S., including the ex-president, members of Congress, and state governors, we found that the Democrats' narrative tends to be more concerned with the pandemic as well as financial and social support, while the Republicans discuss more about other political entities such as China. We then perform an automatic framing analysis to characterize the ways in which they frame their narratives, where we found that the Democrats emphasize the government's role in responding to the pandemic, and the Republicans emphasize the roles of individuals and support for small businesses. Finally, we present a semantic role analysis that uncovers the important characters and relationships in their narratives as well as how they facilitate a membership categorization process. Our findings concretely expose the gaps in the "elusive consensus" between the two parties. Our methodologies may be applied to computationally study narratives in various domains.Supplementary informationThe online version contains supplementary material available at 10.1140/epjds/s13688-021-00308-4.

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Why are conservatives less concerned about the coronavirus (COVID-19) than liberals? Comparing political, experiential, and partisan messaging explanations

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