“The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic

Author:

Heaton DanORCID,Nichele Elena,Clos Jeremie,Fischer Joel E.

Abstract

AbstractIn July 2021, the UK recorded an increase in self-isolation notifications to the users of the NHS Covid-19 contact-tracing app. The term pingdemic was coined and used widely in the media to refer to this period of increased notifications. Whilst existing research on language evolution during Covid-19 focuses on the negative connotations of the term pandemic, little attention has been dedicated yet to the connotations of the term pingdemic. Thus, this study contributes a com- parison between the semantic prosody of pingdemic and its benchmark pandemic, through the corpus analysis of 628 UK printed newspaper articles, published during the peak in notifications to add to the increasing knowledge of how the pandemic evolved in the UK and how AI has had an impact on it. With the aid of the Sketch Engine, through the analysis of keywords, collocations and Word Sketch Difference visualisations, we found that pingdemic held a more negative semantic prosody than pandemic.

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference58 articles.

1. Abbasi K (2021) Covid-19: The UK’s political gamble that bodes ill for health and the health service. BMJ. https://doi.org/10.1136/bmj.n1848

2. Almaz´an-Ruiz E, Orrequia-Barea A (2020) The British press’ coverage of coronavirus threat: a comparative analysis based on corpus linguistics. C¸ ankaya Univ J Human Soc Sci, 14(1), 1–22

3. Baker P (2010) Sociolinguistics and corpus linguistics. Edinburgh University Press

4. Baker P, Levon E (2015) Picking the right cherries? A comparison of corpus-based and qualitative analyses of news articles about masculinity. Discourse Commun 9(2):221–236. https://doi.org/10.1177/1750481314568542

5. BBC News (2021) NHS Covid-19 app pings rise by over 70,000 to new record. https://www.bbc.co.uk/news/technology-57970603. Accessed 03 Aug 2023

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