“Snake flu,” “killer bug,” and “Chinese virus”: A corpus-assisted critical discourse analysis of lexical choices in early UK press coverage of the COVID-19 pandemic

Author:

Kania Ursula

Abstract

Now mostly known as “COVID-19” (or simply “Covid”), early discourse around the pandemic was characterized by a particularly large variation in naming choices (ranging from “new coronavirus” and “new respiratory disease” to “killer bug” and the racist term “Chinese virus”). The current study is situated within corpus-assisted discourse studies and analyses these naming choices in UK newspaper coverage (January–March 2020), focusing on terminology deemed “inappropriate” as per WHO guidelines on naming infectious diseases. The results show that 9% of all terms referring to COVID-19 or the virus causing it are “inappropriate” overall, with “inappropriate” naming being more prevalent (1) in tabloids than broadsheets and (2) in the period before compared to the period after the virus was officially named on 11th February, 2020. Selected examples within each of the categories of “inappropriate” names are explored in more detail [terms (1) inciting undue fear, (2) containing geographic locations, and (3) containing species of animals], and the findings are discussed with regard to the contribution of lexical choices to the reproduction of (racist and otherwise problematic) ideologies in mainstream media.

Publisher

Frontiers Media SA

Subject

Artificial Intelligence

Reference34 articles.

1. Corpus-assisted discourse studies,;Ancarno,2020

2. AnthonyL. AntConc (Version 3.5.9). Tokyo: Waseda University2020

3. LondonBBCCovid: WHO Renames UK and Other Variants with Greek Letters2021

4. From wet markets to Wal-Marts: tracing alimentary xenophobia in the time of COVID-19;Chuvileva;Soc. Anthropol. J. Eur. Assoc. Soc. Anthropol. Anthropol. Soc,2020

5. Lexical and visual choices in the representation of immigration in the Spanish press;Crespo Fernández;Spanish Context,2012

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Commentary: How to have agency in a pandemic;Frontiers in Artificial Intelligence;2024-01-08

2. Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries;Frontiers in Artificial Intelligence;2023-09-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3