TY - JOUR
T1 - Sharing is caring? How moral foundation frames drive the sharing of corrective messages and misinformation about COVID-19 vaccines
AU - Yang, Aimei
AU - Zhou, Alvin
AU - Shin, Jieun
AU - Huang-Isherwood, Ke
AU - Liu, Wenlin
AU - Dong, Chuqing
AU - Lee, Eugene
AU - Sun, Jingyi
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - Drawing from Moral Foundation Theory, our study explores if and how corrective messages and misinformation related to COVID-19 vaccines utilize moral frames. Unlike studies that either focused on content-analyzing messages or study how audiences react to moral frames, this study incorporated both a content analysis of COVID vaccine messages and modeling of how millions of audiences reacted to such messages. We combined semantic network analysis, text-mining, and machine learning to analyze a large corpus of Facebook posts about COVID-19 vaccines. Our results showed that both corrective messages and misinformation prevalently deployed moral framing. We also found that while corrective messages tend to highlight the virtuous aspect of morality, misinformation focuses on the sinful aspect. In both contexts, the five moral frames could construct logically self-consistent worldviews. Moreover, for corrective messages, fairness, sanctity, care, authority, and loyalty frames all significantly influence users’ message sharing. For misinformation, only the authority/subversion frame was influential.
AB - Drawing from Moral Foundation Theory, our study explores if and how corrective messages and misinformation related to COVID-19 vaccines utilize moral frames. Unlike studies that either focused on content-analyzing messages or study how audiences react to moral frames, this study incorporated both a content analysis of COVID vaccine messages and modeling of how millions of audiences reacted to such messages. We combined semantic network analysis, text-mining, and machine learning to analyze a large corpus of Facebook posts about COVID-19 vaccines. Our results showed that both corrective messages and misinformation prevalently deployed moral framing. We also found that while corrective messages tend to highlight the virtuous aspect of morality, misinformation focuses on the sinful aspect. In both contexts, the five moral frames could construct logically self-consistent worldviews. Moreover, for corrective messages, fairness, sanctity, care, authority, and loyalty frames all significantly influence users’ message sharing. For misinformation, only the authority/subversion frame was influential.
KW - Machine learning
KW - Misinformation
KW - Moral Foundation Theory
KW - Semantic network analysis
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UR - http://www.scopus.com/inward/citedby.url?scp=85203552159&partnerID=8YFLogxK
U2 - 10.1007/s42001-024-00320-4
DO - 10.1007/s42001-024-00320-4
M3 - Article
AN - SCOPUS:85203552159
SN - 2432-2717
VL - 7
SP - 2701
EP - 2733
JO - Journal of Computational Social Science
JF - Journal of Computational Social Science
IS - 3
ER -