A Corpus-Based Critical Discourse Analysis of News Reports on the Covid-19 Pandemic in China and the UK

Bibliographic Data

ID21830801
AuthorsHangyan Yu (0000-0001-7528-7235, Zhejiang International Studies University), Huiling Lü (0000-0003-4994-4646, Zhejiang International Studies University), Jie Hu (0000-0003-4772-0315, Zhejiang International Studies University)
Year2021
Volume11
Issue2
Pages36
Publication date2021-01-17
Open AccessYes
TypeARTICLE
VenueInternational Journal of English Linguistics (JOURNAL)
Journal identifiersISSN: 1923-869X • E-ISSN: 1923-8703
PublisherCanadian Center of Science and Education (PUBLISHER)
DOI10.5539/ijel.v11n2p36
OpenAlexW3123197159
LanguageEN
Citations received9
References cited6

Media, as important windows for the public to get to know timely information, play a vital role in influencing citizens’ attitudes as well as behaviors. From 2019, the Coronavirus Disease 2019 (COVID-19) pandemic, a global health emergency, has aroused great concern of the international community, including media. Varied in cultural context, political stand, and people’s ideology, however, media in different countries reported the COVID-19 dissimilarly. According to Fairclough’s critical discourse analysis (CDA) model, it is posited that the discrepancies in the reports of the COVID-19 can reflect ideological differences and have explanatory power in the development of the COVID-19 in distinct countries. Based on this premise, by utilizing the database analysis software AntConc 3.2.4w on self-built corpora, this study analyzed the news reports of different stages on the COVID-19 in China and the UK, i.e., in China Daily and The Guardian, respectively, and attempted to reveal the discourse characteristics in the two media, together with the discussion on their possible relations to the pandemic-controlling practices. The corpus-based analysis showed that China Daily used more objective and neutral words in the descriptions of the COVID-19 and expressed more active attitudes in fighting against the epidemic, whereas The Guardian used more negative words in describing the pandemic and words with weak restricting force when reporting policies concerning the control and prevention of the COVID-19 pandemic. Moreover, the comparison between the discourse before and after the lockdown demonstrated that the descriptions of the COVID-19 in the UK media transformed into a more objective and neutral one than before with an increased use of expressions of restriction and social conflicts. The same comparison in the discourse of China Daily found that words about sharing experience and promoting cooperation augmented noticeably. The above-mentioned findings were also discussed together with these two countries’ domestic epidemic situations and ideological differences, respectively

China · Critical discourse analysis · Discourse analysis · Disease · Guardian · Ideology · Linguistics · Media studies · News media · Pandemic · Political science · Politics · Premise · Public relations · Sociology · Discourse Analysis in Language Studies · History · Law · Medicine · Misinformation and Its Impacts · Sentiment Analysis and Opinion Mining

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