Framing flooding in African cities: a corpus-assisted discourse analysis of the phenomenon in the Ghanaian press

Abstract Increasing climate change and urban planning deficiencies have exacerbated flood disasters in African cities, attracting widespread media discussion and public concern. This study examines the discursive construction of perennial flooding in Accra, in the Ghanaian press, to bring to light how the phenomenon is represented with regards to whether or not it contributes to a proper appreciation of the situation in attempting to address the problem. It uses as dataset an 86,602-word specialised corpus built from news reports on flooding and a 422,436-word reference corpus (written component of International Corpus of English, Ghana). The study employs a Corpus-Assisted Discourse Studies (CADS) approach to explore the discourse using Keyword analysis, Concordance lines and Collocate analysis. Findings revealed framing of perennial flooding in the city as an unwelcome threat, as it is found to colligate with: ‘problems, damage, death and loss’, giving it a negative discourse prosody. In addition, there is unclear (de)construction of the major cause of the floods in the news, as experts assert that siltation of the drains is the major challenge, but what is often projected by the media as the cause is choked gutters. The findings inform policymakers that robust proactive measures, public education and sensitisation, as well as a firm commitment on the part of the government, in particular, are needed to tackle the perennial floods in Accra.

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Publication Details

Journal
Environmental Research Communications
Published
2024-12-01
DOI
https://doi.org/10.1088/2515-7620/ad9c1f
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Framing flooding in African cities: a corpus-assisted discourse analysis of the phenomenon in the Ghanaian press

Issah Baddianaah, Paulina Terkper
Environmental Research Communications
Flood Risk Assessment and Management
article

Framing flooding in African cities: a corpus-assisted discourse analysis of the phenomenon in the Ghanaian press

Issah Baddianaah, Paulina Terkper
article en

Abstract

Abstract Increasing climate change and urban planning deficiencies have exacerbated flood disasters in African cities, attracting widespread media discussion and public concern. This study examines the discursive construction of perennial flooding in Accra, in the Ghanaian press, to bring to light how the phenomenon is represented with regards to whether or not it contributes to a proper appreciation of the situation in attempting to address the problem. It uses as dataset an 86,602-word specialised corpus built from news reports on flooding and a 422,436-word reference corpus (written component of International Corpus of English, Ghana). The study employs a Corpus-Assisted Discourse Studies (CADS) approach to explore the discourse using Keyword analysis, Concordance lines and Collocate analysis. Findings revealed framing of perennial flooding in the city as an unwelcome threat, as it is found to colligate with: ‘problems, damage, death and loss’, giving it a negative discourse prosody. In addition, there is unclear (de)construction of the major cause of the floods in the news, as experts assert that siltation of the drains is the major challenge, but what is often projected by the media as the cause is choked gutters. The findings inform policymakers that robust proactive measures, public education and sensitisation, as well as a firm commitment on the part of the government, in particular, are needed to tackle the perennial floods in Accra.

Environmental Research CommunicationsVol. 6(12)
William V. S. Tubman University (LR)
Sustainable cities and communities
Openalex Percentile: Top 80%
Flood Risk Assessment and Management
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Framing flooding in African cities: a corpus-assisted discourse analysis of the phenomenon in the Ghanaian press — Issah Baddianaah, Paulina Terkper · Environmental Research Communications (2024) | TGRS Research Map | TGRS