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Research Article

Impact of COVID-19 Vaccine Persuasion Strategies on Social Endorsement and Public Response on Chinese Social Media

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Published online: 07 Jul 2024
 

ABSTRACT

Persuading the public to get vaccinated against infectious diseases is critical and carries profound implications for preparing for future pandemics. This study examined whether and how persuasion strategies employed in pro-vaccine messages affect social endorsement and audience stance toward the COVID-19 vaccine expressed in comments on Chinese social media. Through manual coding and pre-trained BERT model, we analyzed 1,500 Weibo posts focused on COVID-19 vaccination persuasion and 238,201 associated comments. Results showed that medical experts succeeded in eliciting heightened social endorsement and receiving more pro-vaccine comments. Posts that employed negative emotional appeal were less likely to be liked or receive pro-vaccine comments. Besides, vaccine persuasion messages presented in a narrative format or emphasizing vaccine efficacy garnered significantly more likes but did not significantly receive more pro-vaccine comments. Discussing domestic issues or employing joy appeal received more pro-vaccine comments. These results offer valuable insights for health practitioners and communicators, highlighting more effective persuasion strategies for engaging citizens in vaccine-related discussions on social media. This study underscores the importance of leveraging persuasion tactics on social media to foster vaccination uptake and better prepare us for handling future pandemics.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/10410236.2024.2375478

Additional information

Funding

The work was supported by the China Association for Science and Technology [KXYJS2022022]; Research start-up funds supported by Department of Communication of Science and Technology, University of Science and Technology of China.

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