In early 2020, the outbreak of COVID-19 in Wuhan put China in the spotlight of international news. China’s development in the field of politics, society, and economics still occupies media attention in the context of the global public health crisis. Previous studies have shown that China’s image in the western media, including the Canadian media, adopted a generally negative tone. The objective of this thesis is to investigate China’s image in one of the mainstream Canadian media platforms, the Globe and Mail, during the whole epidemic year of 2020. This research is based upon news reports published in 2020 by the Globe and Mail and is conducted with the support of corpus linguistic methodology and with the guideline of Critical Discourse Analysis, especially van Dijk’s ideology square. In order to discern and identify the image of China as portrayed by the Globe and Mail, the underlying discourse strategies are analyzed. Findings show that “China”, “Chinese government”, and “Chinese citizens” are the main subjects that make up the broad concept of China’s image. And in China’s related news report in the Globe and Mail from 31 December 2019 to 31 December 2020, (1) rhetoric devices, including number game, news source selection, illustration, irony, implication, presumption, vagueness, comparison, and history as lesson, are employed to polarize the image of the Chinese government and the Canadian government. (2) China’s image in the Globe and Mail is generally negative, which can be described via four aspects: China as a threat, callous, dishonest/untrustworthy, and powerful (3) the China-related news as constructed by the Globe and Mail reflects its own particular national ideologies and interests.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/42713 |
| Date | 23 September 2021 |
| Creators | Wang, Mengting |
| Contributors | Lopez, José |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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