[Corpora-List] [Cfp] First Call for Contributions: Applied Corpus Linguistics (Elsevier) - Special Issue on ‘Corpus Linguistics and the Language of COVID-19: Applications and Outcomes’

Oakey, David David.Oakey at liverpool.ac.uk
Wed Nov 17 12:47:19 CET 2021

(Apologies for cross-postings)

First Call for Contributions: Applied Corpus Linguistics (Elsevier) - Special Issue on ‘Corpus Linguistics and the Language of COVID-19: Applications and Outcomes’.

Initial Proposal Deadline: December 31, 2021; Paper Submission Deadline: May 31, 2022

Issue Editors: David Oakey (University of Liverpool) and Benet Vincent (Coventry University)

The language of the global COVID-19 pandemic is the kind of situated communicative phenomenon that researchers in the field of corpus linguistics are well placed to study. The emergence of the virus in 2020 was written and talked about across communication platforms: on TV, on social media, in public health messaging, and in government communications to citizens. Much of this COVID-19 related communication was immediately archived and made available online. In addition to findings from general corpora, more subject-specific resources were created which could be studied using corpus linguistic methodology, such as the COVID-19 Open Research Dataset (Wang et al 2020) and the Coronavirus Corpus (Davis 2019). Corpus-informed studies describing the language around COVID-19 in English soon appeared, for example the use of the terms coronavirus and COVID-19 and their frequent collocations outbreak, infection, spread, fear (OED 2020; Schuessler 2020), as well as extensions of the meanings of terms such as isolation, social distancing, and lockdown (Hunston 2020), and the use of military metaphors such as COVID-19 IS AN ENEMY (Jaworska 2020; Wicke & Bolognesi, 2020; Semino 2021).

We believe that while traditional corpus linguistic work can reveal valuable insights into the emerging language around COVID 19 internationally, this should be complemented by more applied corpus linguistics work. The pandemic poses the kind of real-world problem to which applied corpus linguists can offer solutions based on the linguistic evidence they uncover. While it is useful, for example, to discover how governments and public bodies deliver centralised messages, there needs to be corresponding work on how messages are received and consumed by particular stakeholders, so that the communicative effectiveness of such messages can be evaluated, and, if necessary, future messaging can be made more effective. This is not just applied corpus linguistics serving the needs of authority; the reception of messages by less served groups in society also requires investigation – are the messages reaching them? How do vulnerable groups, and others who might be pushing back against voices of power, represent COVID-19 in their discourses? How is COVID-19 talked about on social media in non-English languages?

We are happy to announce a call for papers for a special issue of Applied Corpus Linguistics on the use of corpus approaches to understand Covid-19-related discourse. Papers in the special issue will demonstrate the various theoretical frameworks which applied corpus linguists can draw on in the analysis of discourse around the coronavirus to improve our understanding of how language is used in specific contexts. They will also discuss how their findings are applicable to citizens, decision makers, consumers, and other stakeholders in public and private contexts. Research reported in these papers will involve well-established corpus techniques and demonstrate the application of established linguistic frameworks/theories to corpora in any language, or the development of new frameworks. They will focus on the discourses of any group affected by COVID-19, including but not limited to:

• government communications, both official and less official (social media)

• government briefings / presidential or prime ministerial statements

• public health messaging

• social media posts/tweets by politicians and other stakeholders

• news coverage

• messages from education institutions

• alternative COVID-19 narratives, e.g. anti-vaxx messaging

and analysed according to a particular theoretical framework drawing from approaches including but not limited to:

• corpus-informed Critical Discourse Analysis

• corpus-assisted discourse analysis

• speech act theory / directives

• metaphor

• phraseology / lexical bundles

• sentiment analysis

• systemic functional linguistics

• multimodality

To submit a proposal for a full-length research article for inclusion in the special issue, please send a 500-word abstract/outline to aclcovid19si at gmail.com<mailto:aclcovid19si at gmail.com> by December 31, 2021. You should make clear in the abstract the nature of your COVID-19 corpus analysis and the contribution it makes beyond corpus linguistics, i.e. its applied aspect.

Please check the journal website https://www.elsevier.com/journals/applied-corpus-linguistics/2666-7991/guide-for-authors for specific details for preparation of full research articles. Alternatively, if you would like to submit a discussion paper, short technical paper or book review related to the topic of this special issue, please send details to aclcovid19si at gmail.com<mailto:aclcovid19si at gmail.com> by December 31, 2021.


November 17 2021 - first call for contributions

November 30 2021 - second call for contributions

December 15 2021 - reminder about abstract/outline deadline

December 31 2021 - deadline for article abstracts/outlines

January 21 2022 - response to abstract/outlines

May 31 2022 - submission of papers

July/Aug/Sept 2022 - reviewer responses

Sept-October 2022 - revised submissions due (5 weeks after receipt of reviews)

Nov 2022-Jan 2023 - publication of papers, as they are completed December 2022 - editorial and volume completion

Best wishes,

David Oakey, BA, MEd, PhD Lecturer in TESOL and Applied Linguistics, Department of English University of Liverpool Liverpool L69 7ZJ, UK https://www.liverpool.ac.uk/english/staff/david-oakey/

Benet Vincent, BA, MA, PhD Lecturer in English (Academic English) School of Humanities Coventry University, UK https://www.coventry.ac.uk/life-on-campus/staff-directory/arts-and-humanities/benet-vincent/


Davies, M. (2019-) The Coronavirus Corpus. Available online at https://www.english-corpora.org/corona/

Hunston, S. E. (2020) ‘Changing Language in Unprecedented Times’, University of Birmingham, Department of English News, 8th April 2020. Accessed on 23rd April 2020 from https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/news/2020/changing-language.aspx

Jaworska, S. (2020). Is the war rhetoric around Covid-19 an Anglo-American thing? Accessed on 29th November 2020 https://viraldiscourse.com/2020/04/13/is-the-war-rhetoric-around-covid-19-an-anglo-american-thing/

OED. (2020) ‘Corpus Analysis of the Language of COVID-19’, OED Blog, 14th April 2020. Accessed on 23rd April 2020 from https://public.oed.com/blog/corpus-analysis-of-the-language-of-covid-19/

Schuessler, J. (2020) ‘Oxford’s 2020 Word of the Year? It’s too Hard to Isolate’, New York Times, 22nd November 2020. Accessed on 23rd November 2020 from https://www.nytimes.com/2020/11/22/arts/oxford-word-of-the-year-coronavirus.html

Semino, E. (2021). “Not Soldiers but Fire-fighters” – Metaphors and Covid-19. Health Communication, 36(1), 50-58. doi:10.1080/10410236.2020.1844989

Wang, L. L., Lo, K., Chandrasekhar, Y, et al. (2020) CORD-19: The COVID-19 Open Research Dataset. Paper presented at the ACL 2020 Workshop on Natural Language Processing for COVID-19 (NLP-COVID), Seattle, WA, 9 July 2020. Accessed on 3rd January 2021 from https://openreview.net/forum?id=0gLzHrE_t3z Wicke, P. & Bolognesi, M. M. (2020) Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter. PLoS ONE 15(9): e0240010. https://doi.org/10.1371/journal.pone.0240010

-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 14542 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20211117/feac76bf/attachment.txt>

More information about the Corpora mailing list