Media framing and expression of anti-China sentiment in COVID-19-related news discourse: An analysis using deep learning methods.

ABSTRACT: This study focuses on news content related to China and COVID-19 during the COVID-19 pandemic and investigates how media frame, affected the emergence of anti-China sentiments through a case study of Japanese online news discourse. We collected large-scale digital trace data including online news and comments during the COVID-19 pandemic. By employing deep learning-based sentiment classifications, we were able to measure the extent of anti-China sentiments expressed through comments during the pandemic's different phases and on different types of news content. Our results provide empirical evidence that the news media's negative depictions of China and coverage related to political and international relations issues increased as the prevalence of COVID-19 in Japan increased. Importantly, s

SUBMITTER: Lyu Z 

PROVIDER: S-EPMC9420056 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature