Plunged into fuel poverty

Abstract Fuel poverty, a household’s inability to achieve thermal comfort in line with a healthy standard of living at a reasonable cost, became an increasingly prevalent and visible socio-economic issue in the UK during the 2020–21 winter lockdowns. Using FuelPovertyPressUK, a specialised corpus of UK newspaper reporting, this paper is the first treatment of the discursive representation of fuel poverty as a distinct form of socio-economic inequality. We conduct a diachronic corpus-assisted discourse analysis, comparing Pre-COVID-19 Winter (September 2019–March 2020) and During-COVID-19 Winter (September 2020–March 2021) subcorpora. The findings demonstrate that newspaper reporting adequately reflected the increasing heterogeneity of the (new) fuel poor across COVID-19 and ultimately positioned the fuel poor as agentless. The paper highlights the value of corpus methods to linguistics-based and interdisciplinary poverty research and the challenge posed to corpus and discourse studies by analysing the representation of indeterminate and in-flux social groups.

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Publication Details

Journal
International Journal of Corpus Linguistics
Published
2025-10-28
DOI
https://doi.org/10.1075/ijcl.23167.har
Primary Topic
Social Acceptance of Renewable Energy
Type
article
Field-Weighted Citation Impact
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article

Plunged into fuel poverty

Leigh Harrington, Maria Gonzalez, Kevin Frank Gerigk
International Journal of Corpus Linguistics
Social Acceptance of Renewable Energy
article

Plunged into fuel poverty

Leigh Harrington, Maria Gonzalez, Kevin Frank Gerigk
article en

Abstract

Abstract Fuel poverty, a household’s inability to achieve thermal comfort in line with a healthy standard of living at a reasonable cost, became an increasingly prevalent and visible socio-economic issue in the UK during the 2020–21 winter lockdowns. Using FuelPovertyPressUK, a specialised corpus of UK newspaper reporting, this paper is the first treatment of the discursive representation of fuel poverty as a distinct form of socio-economic inequality. We conduct a diachronic corpus-assisted discourse analysis, comparing Pre-COVID-19 Winter (September 2019–March 2020) and During-COVID-19 Winter (September 2020–March 2021) subcorpora. The findings demonstrate that newspaper reporting adequately reflected the increasing heterogeneity of the (new) fuel poor across COVID-19 and ultimately positioned the fuel poor as agentless. The paper highlights the value of corpus methods to linguistics-based and interdisciplinary poverty research and the challenge posed to corpus and discourse studies by analysing the representation of indeterminate and in-flux social groups.

International Journal of Corpus LinguisticsVol. 30(3)
Australian National University (AU), Universidad Andrés Bello (CL), National University of Singapore (SG), University of Manchester (GB), Lancaster University (GB), Zhejiang University (CN)
Openalex Percentile: Top 59%
Social Acceptance of Renewable Energy
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