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Discrepancies in the portrayal of the COVID-19 vaccine in Chinese and US international media outlets: A corpus-based discursive news values analysis
Global Public Health ; 18(1) (no pagination), 2023.
Article in English | EMBASE | ID: covidwho-2293238
ABSTRACT
This article compares the discursive construction of news values in English news reporting of China Daily and CNN about the COVID-19 vaccine, to reveal how the two media packaged the vaccine and improved the acceptance of the international community towards the vaccines made in the respective countries. Adopting corpus linguistic methods and Discursive news values analysis (DNVA) framework, this study examines news values through keywords, nomination strategies, and photographs. The results show that the two media outlets constructed the news value of Eliteness dominantly through a systematic combination of words and images, albeit in different ways. China Daily prominently consists of references to China's international communications in the production and application of the COVID-19 vaccine, at the same time packaging the COVID-19 vaccine as foreign aid to enhance diplomatic relations as well as protect and promote the order of the international community. In contrast, CNN chiefly demonstrates references to domestic medical experts and the well-known manufacturers of the COVID-19 vaccine, packaging the COVID-19 vaccine as the US' medical/commercial product. The respective ways in which they portray the COVID-19 vaccine have helped to bolster the acceptance of each country's vaccine by the international community.Copyright © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Topics: Vaccines Language: English Journal: Global Public Health Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Topics: Vaccines Language: English Journal: Global Public Health Year: 2023 Document Type: Article