COVID-19疫苗施打與網路輿情聲量關係: 以Moderna疫苗為例

Abstract

近年來COVID-19大肆傳染，政府積極傳遞疫苗的相關資訊來防止疫情擴散，由於民眾接收COVID-19資訊不只是來自政府，還有一部分來自網路輿情，而網路上存在許多真假難辨的資訊，造就民眾產生施打疫苗的疑慮，使疫苗施打量無法達到政府預期，因此若政府釐清網路資訊與施打量的因果關係，或許能提高疫苗施打量。在此透過合成控制法 (Synthetic Control Method)，使用OpView資料庫的聲量資料，以及衛生福利部疾病管制署提供AstraZeneca、BioNTech、Moderna、Medigen四種疫苗在施打量，發現網路輿情與施打量之間存在相關性後，並嘗試找出其因果關係。

During the COVID-19 pandemic, the governments around the world actively disseminated the vaccine information and promoted the vaccination to prevent the epidemic. The mis- and dis-information about the vaccination on the internet usually makes people worried and thus decreases the willingness of vaccination. By using the Synthetic Control Method and the OpView data, as well as the AstraZeneca, BioNTech, Moderna, and Medigen vaccines provided by Taiwan Centers for Disease Control, this study investigates the negative causal relationship between the internet public opinion and vaccination. It is helpful to increase the number of people vaccinated by clarifying the causal relationship between internet information and vaccination.