期刊
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
卷 17, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/ijerph17155414
关键词
Twitter; news frame; network analysis; topic modeling; Spain
资金
- Department of Social Psychology, Universitat Autonoma de Barcelona
While COVID-19 is becoming one of the most severe public health crises in the twenty-first century, media coverage about this pandemic is getting more important than ever to make people informed. Drawing on data scraped from Twitter, this study aims to analyze and compare the news updates of two main Spanish newspapersEl PaisandEl Mundoduring the pandemic. Throughout an automatic process of topic modeling and network analysis methods, this study identifies eight news frames for each newspaper's Twitter account. Furthermore, the whole pandemic development process is split into three periods-the pre-crisis period, the lockdown period and the recovery period. The networks of the computed frames are visualized by these three segments. This paper contributes to the understanding of how Spanish news media cover public health crises on social media platforms.
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