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Mapping a Country Image from Global News Reports about COVID-19 Pandemic
The outbreak of the coronavirus disease of 2019 (COVID-19) pandemic has infected hundreds of millions of people worldwide and caused millions of deaths. This study used media analysis and correlation analysis to elucidate the significant differences in the ways in which news reports from 228 countri...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797375/ https://www.ncbi.nlm.nih.gov/pubmed/36593880 http://dx.doi.org/10.1007/s12061-022-09498-4 |
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author | An, Ning Zheng, Zhong Chen, Canwen Yang, Xiaoting Lin, Mingliang |
author_facet | An, Ning Zheng, Zhong Chen, Canwen Yang, Xiaoting Lin, Mingliang |
author_sort | An, Ning |
collection | PubMed |
description | The outbreak of the coronavirus disease of 2019 (COVID-19) pandemic has infected hundreds of millions of people worldwide and caused millions of deaths. This study used media analysis and correlation analysis to elucidate the significant differences in the ways in which news reports from 228 countries discussed a specific country when covering the COVID-19 pandemic. Media reports analysed in this study were collected from the Global Database of Events, Language, and Tone project (GDELT). These differences were found to be deeply embedded in the economic, socio-political, and cultural contexts of different countries. The findings reinforced the hypothetical assumption in framing theory and promoted a measurable and upscaled use of framing theory into macro geography studies. This study highlights the urgent need of a geo-political examination of COVID-19 in the global context—an area with insufficient interest from interdisciplinary perspective beyond epidemiology. Further research can be of great value for the promotion of an effective international cooperation mechanism to curb the spread of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12061-022-09498-4. |
format | Online Article Text |
id | pubmed-9797375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-97973752022-12-29 Mapping a Country Image from Global News Reports about COVID-19 Pandemic An, Ning Zheng, Zhong Chen, Canwen Yang, Xiaoting Lin, Mingliang Appl Spat Anal Policy Article The outbreak of the coronavirus disease of 2019 (COVID-19) pandemic has infected hundreds of millions of people worldwide and caused millions of deaths. This study used media analysis and correlation analysis to elucidate the significant differences in the ways in which news reports from 228 countries discussed a specific country when covering the COVID-19 pandemic. Media reports analysed in this study were collected from the Global Database of Events, Language, and Tone project (GDELT). These differences were found to be deeply embedded in the economic, socio-political, and cultural contexts of different countries. The findings reinforced the hypothetical assumption in framing theory and promoted a measurable and upscaled use of framing theory into macro geography studies. This study highlights the urgent need of a geo-political examination of COVID-19 in the global context—an area with insufficient interest from interdisciplinary perspective beyond epidemiology. Further research can be of great value for the promotion of an effective international cooperation mechanism to curb the spread of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12061-022-09498-4. Springer Netherlands 2022-12-29 2023 /pmc/articles/PMC9797375/ /pubmed/36593880 http://dx.doi.org/10.1007/s12061-022-09498-4 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article An, Ning Zheng, Zhong Chen, Canwen Yang, Xiaoting Lin, Mingliang Mapping a Country Image from Global News Reports about COVID-19 Pandemic |
title | Mapping a Country Image from Global News Reports about COVID-19 Pandemic |
title_full | Mapping a Country Image from Global News Reports about COVID-19 Pandemic |
title_fullStr | Mapping a Country Image from Global News Reports about COVID-19 Pandemic |
title_full_unstemmed | Mapping a Country Image from Global News Reports about COVID-19 Pandemic |
title_short | Mapping a Country Image from Global News Reports about COVID-19 Pandemic |
title_sort | mapping a country image from global news reports about covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797375/ https://www.ncbi.nlm.nih.gov/pubmed/36593880 http://dx.doi.org/10.1007/s12061-022-09498-4 |
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