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Impact of COVID-19 Vaccine Persuasion Strategies on Social Endorsement and Public Response on Chinese Social Media.
Ji, Jiaojiao; Hu, Ting; Chen, Meng.
Afiliação
  • Ji J; Department of Communication of Science and Technology, University of Science and Technology of China.
  • Hu T; Institute for Computational Social Sciences and Media Studies, University of Science and Technology of China.
  • Chen M; Department of Philosophy of Science and Technology, University of Science and Technology of China.
Health Commun ; : 1-12, 2024 Jul 07.
Article em En | MEDLINE | ID: mdl-38973185
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article