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

Abstract

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.

Reviewing topics of COVID-19 news articles: case study of CNN and China daily

“…Epidemic news on CNN prefers to involve political affairs to cater to their audience . By contrast, China Daily emphasizes the medical effort in fighting the virus and experience sharing (Yu et al, 2021). Studies have shown that such bias can impact people's risk perception and even the infection rate (Spiteri, 2021).…”

“…, 2020). By contrast, China Daily emphasizes the medical effort in fighting the virus and experience sharing (Yu et al. , 2021).…”

Contrasting semantic and sentimental features between Chinese and American economic news discourse in the epidemic era: A corpus-based critical discourse analysis

“…There is a lack of comparative studies between the mainstream media in different countries during the epidemic. This study thus presents a comparative analysis of Chinese and American news, which could reflect the ideological differences and pave the way for further exploration of the discursive characteristics of news coverage in different countries ( Yu, Lu, & Hu, 2021 ). Meanwhile, this study combines quantitative and qualitative methods to have a more extensive database and minimize researcher bias.…”

Sociocultural Relations: Perspectives from Covid-19 Newspaper Headlines

“…The use of social media in this way according to the author is capable of triggering media revolution targeted at transforming the society. From a corpus perspective, Yu et al (2021) investigate the Critical Discourse Analysis of news reports on the COVID-19 pandemic in China and the United Kingdom. The researchers employ Fairclough's Critical Discourse Analysis (CDA) model as framework using Antconc software 3.2.4 on self-built corpora.…”