Work

Analyzing Spanish News Frames on Twitter during COVID-19—A Network Study of El País and El Mundo

Year: 2020

Type: article

Abstract: 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 newspapers El País and El Mundo during 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.

Source: International Journal of Environmental Research and Public Health

DOI: 10.3390/ijerph17155414

Authors: Jingyuan Yu, Yanqin Lu, Juan Muñoz-Justicia

Institutions: Universitat Autònoma de Barcelona, Bowling Green State University

Language: English

Topic: Communication and COVID-19 Impact

Subfield: Communication

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,429

Funders: Universitat de Barcelona, Universitat Autònoma de Barcelona