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https://doi.org/10.17645/mac.v9i3.3966

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Close to Beijing: Geographic Biases in People's Daily

[Zeitschriftenartikel]

Weston, Morley J.
Rauchfleisch, Adrian

Abstract

Inequities in China are reflected within state-run media coverage due to its specific role “guiding public opinion,” and with our study we contribute to the geographic turn in the Chinese context with regard to media and journalism. As a subject of a spatial study, China is unique due to several fac... mehr

Inequities in China are reflected within state-run media coverage due to its specific role “guiding public opinion,” and with our study we contribute to the geographic turn in the Chinese context with regard to media and journalism. As a subject of a spatial study, China is unique due to several factors: geographic diversity, authoritarian control, and centralized media. By analyzing text from 53,000 articles published in People’s Daily (rénmín rìbào, 人民日報) from January 2016 to August 2020, we examine how the amount of news coverage varies by region within China, how topics and sentiments manifest in different places, and how coverage varies with regard to foreign countries. Automated methods were used to detect place names from the articles and geoparse them to specific locations, combining spatial analysis, topic modeling and sentiment analysis to identify geographic biases in news coverage in an authoritarian context. We found remarkably uniform and positive coverage domestically, but substantial differences towards coverage of different foreign countries.... weniger

Klassifikation
Medieninhalte, Aussagenforschung

Freie Schlagwörter
China; Chinese media system; People's Daily; authoritarian public; news values; propaganda; spatial analysis

Sprache Dokument
Englisch

Publikationsjahr
2021

Seitenangabe
S. 59-73

Zeitschriftentitel
Media and Communication, 9 (2021) 3

Heftthema
Spaces, Places, and Geographies of Public Spheres

ISSN
2183-2439

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.