A Discourse Analysis of Reports on COVID-19 Epidemic in People’s Daily (2020-2023)
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Abstract
This paper extracted news reports on COVID-19 epidemic from People's Daily and built a corpus of more than 160,000 words and used the corpus retrieval tool Antconc (4.0.4). Critical discourse analysis is based on Fairclough's three-dimensional discourse analysis framework. The results showed that People's Daily focused on the COVID-19 outbreak itself, the COVID-19 response, the COVID-19 location, the impact of the COVID-19 outbreak, the COVID-19 population, the time of the COVID-19 outbreak, and the country's leaders. It has adopted three discourse strategies, namely self-narration and narration by others, intertextuality of genres and styles, and the use of rhetorical devices such as metaphors and parallelism to describe the efforts made by the Chinese government and people in the COVID-19 response station.
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