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Measuring media bias in China

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  • Yuan, Han

Abstract

Major advances in research on media bias have been achieved in recent years. However, methods used in the literature are primarily applied to American media and usually dependent on the two-party system. This paper attempts to detect and quantify the principal difference, or ‘media bias’, of Chinese media. We extract a document-term matrix from articles on the Eighteenth Party Congress in November 2012 from 21 Chinese newspapers from seven provinces, as well as the People's Daily. With this matrix, hierarchical clustering is subsequently used to divide newspapers into two groups. Using the dendrogram and intergroup dissimilarities, we can construct an index to indicate the direction and the magnitude of media bias. In our sample, newspapers from Zhejiang and Guangdong constitute one group, and the rest constitute the other group. The principal difference of Chinese media is reflected in two dimensions: central/local and political/economic.

Suggested Citation

  • Yuan, Han, 2016. "Measuring media bias in China," China Economic Review, Elsevier, vol. 38(C), pages 49-59.
    • Handle: RePEc:eee:chieco:v:38:y:2016:i:c:p:49-59
    DOI: 10.1016/j.chieco.2015.11.011
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    1. Bernhardt, Dan & Krasa, Stefan & Polborn, Mattias, 2008. "Political polarization and the electoral effects of media bias," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1092-1104, June.
    2. Simon P. Anderson & John McLaren, 2012. "Media Mergers And Media Bias With Rational Consumers," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 831-859, August.
    3. Timothy Besley & Andrea Prat, 2006. "Handcuffs for the Grabbing Hand? Media Capture and Government Accountability," American Economic Review, American Economic Association, vol. 96(3), pages 720-736, June.
    4. Tim Groseclose & Jeffrey Milyo, 2005. "A Measure of Media Bias," The Quarterly Journal of Economics, Oxford University Press, vol. 120(4), pages 1191-1237.
    5. Baron, David P., 2006. "Persistent media bias," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 1-36, January.
    6. Matthew Gentzkow & Jesse M. Shapiro, 2010. "What Drives Media Slant? Evidence From U.S. Daily Newspapers," Econometrica, Econometric Society, vol. 78(1), pages 35-71, January.
    7. Tawnya J. Adkins Covert & Philo C. Wasburn, 2007. "Measuring Media Bias: A Content Analysis of Time and Newsweek Coverage of Domestic Social Issues, 1975–2000," Social Science Quarterly, Southwestern Social Science Association, vol. 88(3), pages 690-706, September.
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    Cited by:

    1. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    2. Ito, Asei & Lim, Jaehwan & Zhang, Hongyong, 2023. "Catching the political leader's signal: Economic policy uncertainty and firm investment in China," China Economic Review, Elsevier, vol. 81(C).
    3. Hui Sun & Dan Xu & Lu Wang & Kai Wang, 2023. "How Does Public Opinion Influence Production Safety within Small and Medium Enterprises in the Sustainability Context?," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    4. Guo, Mengmeng & Liu, Jinge & Yu, Jianyu, 2021. "Social trust and food scandal exposure: Evidence from China," China Economic Review, Elsevier, vol. 69(C).
    5. ITO Asei & LIM Jaehwan & ZHANG Hongyong, 2022. "Catching the Political Leader's Signals: Economic policy uncertainty and firm investment in China," Discussion papers 22081, Research Institute of Economy, Trade and Industry (RIETI).

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    More about this item

    Keywords

    Media bias; Chinese media; Text categorisation;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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