Changes of the Public Attitudes of China to Domestic COVID-19 Vaccination After the Vaccines Were Approved: A Semantic Network and Sentiment Analysis Based on Sina Weibo Texts

• DOI: 10.3389/fpubh.2021.723015
• Publication Date: 2021-11-11T07:32:45Z
• Authors: Hao Gao; Difan Guo; Jing Wu; Qingting Zhao; Lina Li
• Keywords: Sentiment Analysis

Introduction: On December 31, 2020, the Chinese government announced that domestic coronavirus disease-2019 (COVID-19) vaccines have obtained approval for conditional marketing and are free vaccination. This release drove attention of public intense debates on social media, which reflected attitudes to vaccine. study examines whether concerns COVID-19 changed after official announcement. Methods: article used big data analytics in research, including semantic network sentiment analysis. The purpose is obtain about vaccines. Sentiment analysis reflects sentiments emotional changes by comparing specific shown posts before Results: There exists a correlation between According analysis, focused performance issues approval, but they cared more practical vaccination that. showed both positive negative emotions increased among “Good” was most emotion indicated great appreciation production capacity “Fear” significantly concern safety Conclusion: announcement improved acceptance In addition, effectiveness vital factors influencing vaccine hesitancy.