TY - JOUR
T1 - Moral Foundations, Ideological Divide, and Public Engagement with U.S. Government Agencies’ COVID-19 Vaccine Communication on Social Media
AU - Zhou, Alvin
AU - Liu, Wenlin
AU - Kim, Hye Min
AU - Lee, Eugene
AU - Shin, Jieun
AU - Zhang, Yafei
AU - Huang-Isherwood, Ke M.
AU - Dong, Chuqing
AU - Yang, Aimei
N1 - Publisher Copyright:
© 2022 Mass Communication & Society Division of the Association for Education in Journalism and Mass Communication.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
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U2 - 10.1080/15205436.2022.2151919
DO - 10.1080/15205436.2022.2151919
M3 - Article
AN - SCOPUS:85144248861
SN - 1520-5436
VL - 27
SP - 739
EP - 764
JO - Mass Communication and Society
JF - Mass Communication and Society
IS - 4
ER -