COVID-19 Vaccine draws on wide attention from all walks of society. As an important virus prevention measures and , vaccine is no longer an isolate issue but bring in multiple voices in the public discourse. Online communicative environment even diversified the topics via intermedia agenda setting. However, for a politicized health issue like “COVID-19 vaccine”, traditional frame shifts of intermedia agenda setting theory is insufficient to explicate the dynamics of media-public relations. Furthermore, social emotions on the vaccine is found polarized in Hong Kong society. Therefore, our study aims at examining and contributing to the intermedia agenda setting theory by supplementing other forms of agenda setting processes (i.e. inter-partisan agenda setting, intermedia emotion setting) in online discourse of COVID-19 Vaccine. After applying Latent Dirichlet Allocation (LDA) to Hong Kong news and forum data, the results of semantic network and time-series analysis provide the evidences of politicization of vaccine issue, and importance of media partisanship and social emotions on agenda setting process.
|Publication status||Published - May 2022|
|Event||ICA 2022 - 72nd Annual International Communication Association Conference: One World, One Network‽ - Paris, France|
Duration: 26 May 2022 → 30 May 2022
https://drive.google.com/file/d/1VseJc1c7w8mLwuKm1JSHCU-51Xs9smiu/view (Link to conference programme)
|Conference||ICA 2022 - 72nd Annual International Communication Association Conference|
|Period||26/05/22 → 30/05/22|