Evidence map›Paper›PMID 37520405›Full record

ArticleApplied Corpus Linguistics2023

Engaging the public: English local government organisations' social media communications during the COVID-19 pandemic.

Robbie Love, Erika Darics, Rudi Palmieri

Abstract read
In one paragraph

Article in Applied Corpus Linguistics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Robbie LoveDepartment of English, Languages and Applied Linguistics, Aston University, Birmingham, UK.
Erika DaricsCommunication and Information Studies, University of Groningen, Groningen, Netherlands.
Rudi PalmieriDepartment of Communication and Media, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communication has played a critical role during the initial response to the COVID-19 pandemic, and communicators have had a particularly difficult task in persuading different types of audience to comply with ever-changing regulations. Local government organisations play a crucial role in recontextualising the national messaging for a local audience and encouraging the public to comply with regulations. This paper investigates local government organisations' (henceforth LGOs) engagement strategies in COVID-related posts on social media. In collaboration with LGOs in England, we examined their communication strategies on Twitter and Facebook during the second UK national lockdown of the COVID-19 pandemic in November-December 2020. Using methods from corpus-assisted discourse studies, the paper analyses the occurrence and functions of selected interactive engagement markers, in this case personal pronouns, questions and hashtags. We find that such linguistic features function to encourage engagement by (a) helping to foster relatedness through ambiguity; (b) creating autonomy-supporting communication; and (c) making messages 'stand out'. Based on our corpus analysis, we discuss the initial response of the participating councils to our findings and outline future directions including the integration of multimodal approaches to studying the role of localised social media in national crisis management. We argue for more attention to be paid to the many local communicators who play an invaluable role in encouraging the public to comply with national measures in times of crisis.

Indexed as

Corpus-assisted discourse analysisLocal government organisationsMetadiscoursePublic health campaignsSocial media

Identifiers

PMID37520405
PMCPMC10276418

What OpenQuestion holds

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Registered trials

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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.