Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries
Using the Mass Observation corpus of 12th of May Diaries, we investigate concepts that are characteristic of the first coronavirus lockdown in the UK. More specifically, we extract and analyse concepts which are distinctive of the discourses produced in May 2020 in relation to concepts used in the 1...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1176283/full |
| _version_ | 1797678025879322624 |
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| author | Justyna A. Robinson Rhys J. Sandow Roberta Piazza |
| author_facet | Justyna A. Robinson Rhys J. Sandow Roberta Piazza |
| author_sort | Justyna A. Robinson |
| collection | DOAJ |
| description | Using the Mass Observation corpus of 12th of May Diaries, we investigate concepts that are characteristic of the first coronavirus lockdown in the UK. More specifically, we extract and analyse concepts which are distinctive of the discourses produced in May 2020 in relation to concepts used in the 10 previous years, 2010–2019. In the current paper we focus on the concept of regulation, which we identify through a novel approach to querying semantic content in large datasets. Typically, linguists look at keywords to understand differences between two datasets. We demonstrate that taking the perspective of a keyconcept rather than the keyword in linguistic analysis is a beneficial way of identifying trends in broader patterns of thoughts and behaviours which reflect lived-experiences that are particularly prominent of a given dataset, which, in this current paper, is the COVID-19 era dataset. In order to contextualise the keyconcept analysis, we investigate the discourses surrounding the concept of regulation. We find that diarists communicate collective experience of limited individual agency, surrounded by feelings of fear and gratitude. Diarists' reporting on events is often fragmented, focused on new information, and firmly placed in a temporal frame. |
| first_indexed | 2024-03-11T22:53:34Z |
| format | Article |
| id | doaj.art-6ab647389308478792d9569c4cbc4a75 |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-03-11T22:53:34Z |
| publishDate | 2023-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-6ab647389308478792d9569c4cbc4a752023-09-21T19:45:07ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122023-09-01610.3389/frai.2023.11762831176283Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diariesJustyna A. Robinson0Rhys J. Sandow1Roberta Piazza2School of Media, Arts and Humanities, University of Sussex, Brighton, United KingdomDepartment of Language and Linguistic Science, University of York, York, United KingdomSchool of Media, Arts and Humanities, University of Sussex, Brighton, United KingdomUsing the Mass Observation corpus of 12th of May Diaries, we investigate concepts that are characteristic of the first coronavirus lockdown in the UK. More specifically, we extract and analyse concepts which are distinctive of the discourses produced in May 2020 in relation to concepts used in the 10 previous years, 2010–2019. In the current paper we focus on the concept of regulation, which we identify through a novel approach to querying semantic content in large datasets. Typically, linguists look at keywords to understand differences between two datasets. We demonstrate that taking the perspective of a keyconcept rather than the keyword in linguistic analysis is a beneficial way of identifying trends in broader patterns of thoughts and behaviours which reflect lived-experiences that are particularly prominent of a given dataset, which, in this current paper, is the COVID-19 era dataset. In order to contextualise the keyconcept analysis, we investigate the discourses surrounding the concept of regulation. We find that diarists communicate collective experience of limited individual agency, surrounded by feelings of fear and gratitude. Diarists' reporting on events is often fragmented, focused on new information, and firmly placed in a temporal frame.https://www.frontiersin.org/articles/10.3389/frai.2023.1176283/fullkeyconceptsemantic variationcorpusdiscourse analysisCOVID-19regulation |
| spellingShingle | Justyna A. Robinson Rhys J. Sandow Roberta Piazza Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries Frontiers in Artificial Intelligence keyconcept semantic variation corpus discourse analysis COVID-19 regulation |
| title | Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries |
| title_full | Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries |
| title_fullStr | Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries |
| title_full_unstemmed | Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries |
| title_short | Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries |
| title_sort | introducing the keyconcept approach to the analysis of language the case of regulation in covid 19 diaries |
| topic | keyconcept semantic variation corpus discourse analysis COVID-19 regulation |
| url | https://www.frontiersin.org/articles/10.3389/frai.2023.1176283/full |
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