Interactional metadiscourse in news commentaries: A corpus-based study of China Daily and The New York Times

• Main Authors: Chen, L. (Author), Li, C. (Author)
• Format: Article
• Language: English
• Published: Elsevier B.V. 2023
• Subjects: Corpus analysis; COVID-19; Interactional metadiscourse; News commentaries; Stance and engagement
• Online Access: View Fulltext in Publisher; View in Scopus

 Drawing on Hyland's model of interactional metadiscourse (2005; 2005a), this paper investigates the distribution of interactional metadiscourse in news commentaries of China Daily (CD) and The New York Times (NYT), two leading newspapers in China and the United States. The corpus retrieved includes 60 news commentaries on the topic of COVID-19 covering six months from January to June, 2022 when the resurgence of COVID-19 in China has aroused public debates and attracted world-wide media attention. This study reveals that both stance and engagement, are frequently employed in CD and NYT. Nevertheless, the occurrences of interactional features in NYT are far more frequent than those in CD, which reflects a higher level of explicit interaction of the former. Results of chi-square test of the sub-categorical interactional metadiscourse mark significant differences in the distribution of hedges, self-mention and engagement markers between the two corpora. NYT employs greater number of all the three subcategories, indicating NYT writers’ attempts to both express a clear personal stance to their views and to closely align with readers, whereas CD shows a strong tendency of conveying their evaluations and commitment towards propositions by employing stance nearly three times as many as engagement. © 2023 The Author(s)