US-China Cold War over COVID -19: A Critical Discourse
Keywords:
CDA, Covid-19, China, Ideology, Trump, TweetAbstract
The entire world suffers from the outbreak of the Corona pandemic. It has resulted in a total cessation of life in all its facilities, and the exchange of allegations between the United States and China. This article is intended to analyze Trump’s tweets and his war of words with China over the origin of COVID-19 and the outbreak of the pandemic. The article aims at identifying the use of U.S-THEM self-representation and the ideologies intended for using them in the cold war between the US and China. Achieving the targeted objectives, the tweets selected are analyzed based on Fairclough's (2003) Critical Discourse Analyses (CDA) approach, and Van Dijk's (2006), Macro levels-analysis of ideology. The results of the study showed that Trump used racist language to arouse conflict and tension with China through “Us” against “Them” to blame China for the virus.
References
Billig, M. (2003). Critical discourse analysis and the rhetoric of critique. In Critical discourse analysis. Springer.
Biscop, S. (2020). Coronavirus and Power: The Impact on International Politics. 126. Security Policy Brief.
Chilton, P. (2004). Analysing political discourse: Theory and practice. Routledge.
Crowley, M., Wong, E., & Jakes, L. (2020). Coronavirus Drives the US and China Deeper Into Global Power Struggle (Vol. 22). The New York Times.
Fairclough, N. (1992). Discourse and text: Linguistic and intertextual analysis within discourse analysis. Discourse & Society, 3(2), pp. 193-217.
Guardian staff. (2020). Donald Trump calls Covid-19 'kung flu' at Tulsa rally. The Guardian. https://www.theguardian.com/us-news/2020/jun/20/trump-covid-19-kung-flu-racist-language. Retrieved 5 7, 2020
Ilyas, A. (2020). COVID-19 PANDEMIC:EMERGENCE OF A NEW GEOPOLITICAL PERSPECTIVE.
Juma'h, A., & Alnsour, Y. (2018). Using social media analytics: the effect of President Trump's tweets on companies' performance. Journal of Accounting and Management Information Systems, pp. 100-121.
Karnitschnig, M. (2020). China is winning the coronavirus propaganda war. Beijing deploys soft power as Europe and US fall short on solidarity. Politico.
Lee, J. C., & Quealy, K. (2016). The 282 people, places and things Donald Trump has insulted on Twitter: A complete list. The New York Times. Retrieved from http://www.nytimes.com/interactive/2016/01/28/upshot/donald-trump-twitter-insults.html?campaign_id=A100&campaign_type=Email&_r=1.
Misha Ketchell. (2020, 10 13). Donald Trump’s ‘Chinese virus’: the politics of naming. Retrieved from https://theconversation.com/donald-trumps-chinese-virus-the-politics-of-naming.
Ott, B. L. (2017). The age of Twitter: Donald J. Trump and the politics of debasement. Critical studies in media communication, 1, pp. 59-68.
Persada, I., & Syahrudin, J. (2018). A CRITICAL DISCOURSE ANALYSIS OF INDONESIA PRESIDENTIAL ELECTION IN 2014 GIVING SPEECHES IN CAMPAIGN DEBATE. E-Journal English Language and Literature, 3(7).
Pramuk, J. (2020). Trump signs bill to temporarily reopen government after longest shutdown in history. CNBC.
Tenorio, E. H. (2011). Critical discourse analysis, an overview. Nordic Journal of English Studies, 1, pp. 183-210.
Van Dijk. (2006). Ideology and discourse analysis. Journal of Political Ideologies, 11(2), pp. 115-140. doi:10.1080/13569310600687908
Van Dijk, T. A. (2003). The discourse-knowledge interface. In Critical discourse analysis. Springer.
Waikar, P. (2018). Reading Islamophobia in Hegemonic Neoliberalism Through a Discourse Analysis of Donald Trump's Narratives. Journal of Muslim Minority Affairs, 38(2), pp. 153-178.
Webel, M. (2020, October 2). H-Net/H-Africa Interview on the New Books Network.
Widdowson, H. G. (2004). Text, context, pretext: Critical issues in discourse analysis. John Wiley & Sons(12).
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