Moral Foundations, Ideological Divide, and Public Engagement with U.S. Government Agencies’ COVID-19 Vaccine Communication on Social Media

Alvin Zhou, Wenlin Liu, Hye Min Kim, Eugene Lee, Jieun Shin, Yafei Zhang, Ke M. Huang-Isherwood, Chuqing Dong, Aimei Yang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Guided by moral foundation theory, this study examined how moral framing interacted with local constituents’ ideological leaning to affect public engagement outcomes of government agencies’ COVID-19 vaccine communication on Facebook. We analyzed a dataset of over 5,000 U.S. government agencies’ Facebook posts on COVID-19 vaccines in 2021 (N = 70,671), assessed their use of moral language using a newly developed computational method, and examined how political divide manifests itself at the collective level. Findings from both fixed and random effects models suggest that: 1) the use of moral language is positively associated with public engagement outcomes on government agencies’ social media accounts; 2) five types of moral foundations have distinct effects on three types of public engagement (affective, cognitive, and retransmission); 3) moral foundations and local politics interact to affect public engagement, in that followers of government agencies in liberal states/counties prefer messages emphasizing the care/harm and fairness/cheating dimensions while those in conservative states/counties prefer the loyalty/betrayal dimension. The study demonstrates how a strategic employment of moral language can contribute to public engagement of government agencies’ mass communication campaigns.

Original languageEnglish (US)
Pages (from-to)739-764
Number of pages26
JournalMass Communication and Society
Volume27
Issue number4
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© 2022 Mass Communication & Society Division of the Association for Education in Journalism and Mass Communication.

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