Evidence map›Paper›PMID 36483982›Full record

ArticleFrontiers in artificial intelligence2022

"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.

Ursula Kania

Open access · goldAbstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Commentary: How to have agency in a pandemic.Frontiers in artificial intelligence · 2023
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Ursula KaniaDepartment of English, University of Liverpool, Liverpool, United Kingdom.
University of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Anti-Asian racismcorpus-assisted discourse studiescorpus linguisticsCOVID-19critical discourse analysislexical choicesSinophobiaUK press

Identifiers

PMID36483982
PMCPMC9723132
OpenAlexW4309732226

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.