A Framing Analysis and Regional Comparison of Newspaper Media Reports of COVID-19 in Shanghai: Based on the LDA Topic Model

Chuqi Wang and Haokai Yin

Studies in Media and Communication, 2022, vol. 10, issue 2, 312-319

Abstract: In this study, we analyzed reports published by local and non-local newspapers on the 2022 COVID-19 outbreak in Shanghai using the Latent Dirichlet Allocation (LDA) topic modeling technique. Framing Theory suggests that both coverage types would typically produce similar media frames, notwithstanding the presence of slight differences in bias. We identified the media frames used by local and non-local newspapers on the Shanghai outbreak and our analysis subsequently informed our discussion on the similarities and differences that were uncovered. The paper offers suggestions for media reporting on how to better cover the outbreak.

Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://redfame.com/journal/index.php/smc/article/download/5750/5916 (application/pdf)
https://redfame.com/journal/index.php/smc/article/view/5750 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rfa:smcjnl:v:10:y:2022:i:2:p:312-319

Access Statistics for this article

More articles in Studies in Media and Communication from Redfame publishing Contact information at EDIRC.
Bibliographic data for series maintained by Redfame publishing ().