Political framing of Covid-19

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS
Ariana N Mohammadi
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引用次数: 0

Abstract

Abstract The present study is a corpus-based discourse analysis of the metaphorical framing of Covid-19 in American political discourse. Drawing on data from a corpus of the White House briefings and statements, the study investigates the corpus profile of war and virus and illustrates how the Coronavirus is primarily represented as an enemy to go to war with, rather than a public health crisis to control and mitigate. The study further situates the militaristic framing of Covid-19 within the theoretical framework of moral panic and examines the discursive features that ultimately bridge the metaphorical representation of the pandemic and the construction of moral panic. The study points to nuanced discourse strategies used in the White House press briefings that reconstruct the enemy and regroup the Coronavirus with other so-called enemies of the United States, such as the Communists, as well as the Islamic radicals and the Latin gangs and cartels.
Covid-19的政治框架
摘要本研究基于语料库对美国政治话语中Covid-19的隐喻框架进行了话语分析。该研究利用白宫简报和声明语料库中的数据,调查了战争和病毒的语料库概况,并说明了冠状病毒如何主要被描述为需要与之开战的敌人,而不是需要控制和缓解的公共卫生危机。该研究进一步将Covid-19的军国主义框架置于道德恐慌的理论框架中,并考察了最终将大流行的隐喻表现与道德恐慌的构建联系起来的话语特征。该研究指出了白宫新闻发布会上使用的微妙话语策略,这些策略重构了敌人,并将冠状病毒与其他所谓的美国敌人(如共产党、伊斯兰激进分子、拉丁帮派和卡特尔)重新组合在一起。
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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