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Examining the Intermedia Agenda Setting Effects amid the Changsheng Vaccine Crisis: A Computational Approach

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  • Jian Shi

    (Academy of Contemporary China and World Studies, China Foreign Languages Publishing Administration, Beijing 100037, China)

  • Hanxiao Wang

    (School of Journalism and Communication, Nanjing Normal University, Nanjing 210097, China)

Abstract

Scholars have long questioned whether the traditional media effects approach can still be applied in the current digital media era, especially in the non-Western, state-regulated Chinese media environment. This study examines the intermedia agenda setting of traditional media sources and we-media sources in the WeChat Official Accounts through a computational look at the Changsheng Bio-technology vaccine (CBV) crisis. Utilizing LDA topic modeling and Granger causality analysis, results show that both traditional media and we-media (i.e., online news sources operated by individuals or collectives) focus more consistently on two frames, the news facts and the countermeasure and suggestion frames. Interestingly, the traditional media agenda impacts the we-media agenda under the news fact and the countermeasure and suggestion frames, while the we-media agenda influences the traditional media agenda under the moral judgment and causality background frames. Overall, our study demonstrates the mutual effects between the traditional media agenda and the we-media agenda. This study sheds light on the theoretical meaning of network agenda setting and extends its application to social media platforms in Eastern countries and health-related fields.

Suggested Citation

  • Jian Shi & Hanxiao Wang, 2023. "Examining the Intermedia Agenda Setting Effects amid the Changsheng Vaccine Crisis: A Computational Approach," IJERPH, MDPI, vol. 20(5), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4052-:d:1079139
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    References listed on IDEAS

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    1. Jianping Zhu & Futian Weng & Muni Zhuang & Xin Lu & Xu Tan & Songjie Lin & Ruoyi Zhang, 2022. "Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model," IJERPH, MDPI, vol. 19(20), pages 1-26, October.
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    Cited by:

    1. Yating Pan, 2023. "How Does News Coverage of a Rival Nation Affect People’s Attitudes about Their Own Countries? Evidence from China," Social Sciences, MDPI, vol. 12(12), pages 1-13, November.

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