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Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers

This article critically studies coronavirus (COVID-19) pandemic news in the press. The article attempts to study the way the news of COVID-19 is used for political and ideological purposes. In order to achieve the aim, two newspapers namely, The New York Times from the United States of America and G...

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Detalles Bibliográficos
Autor principal: Abbas, Ali Haif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332744/
https://www.ncbi.nlm.nih.gov/pubmed/33214736
http://dx.doi.org/10.1007/s11196-020-09745-2
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author Abbas, Ali Haif
author_facet Abbas, Ali Haif
author_sort Abbas, Ali Haif
collection PubMed
description This article critically studies coronavirus (COVID-19) pandemic news in the press. The article attempts to study the way the news of COVID-19 is used for political and ideological purposes. In order to achieve the aim, two newspapers namely, The New York Times from the United States of America and Global Times from China are selected. Van Dijk’s news schemata framework is used for the analysis of the reports selected from the two newspapers. Van Dijk’s news schemata is crucial for the analysis of any news story (report) whether such a news story is taken from a news channel or a newspaper and whether broadcasted or printed. Based on data analysis, the article found out that the news of COVID-19 has been politicized and used for ideological interests. The article recommends that pandemics should not be politicized, instead we should work together to save our lives and live peacefully.
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spelling pubmed-73327442020-07-06 Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers Abbas, Ali Haif Int J Semiot Law Article This article critically studies coronavirus (COVID-19) pandemic news in the press. The article attempts to study the way the news of COVID-19 is used for political and ideological purposes. In order to achieve the aim, two newspapers namely, The New York Times from the United States of America and Global Times from China are selected. Van Dijk’s news schemata framework is used for the analysis of the reports selected from the two newspapers. Van Dijk’s news schemata is crucial for the analysis of any news story (report) whether such a news story is taken from a news channel or a newspaper and whether broadcasted or printed. Based on data analysis, the article found out that the news of COVID-19 has been politicized and used for ideological interests. The article recommends that pandemics should not be politicized, instead we should work together to save our lives and live peacefully. Springer Netherlands 2020-07-03 2022 /pmc/articles/PMC7332744/ /pubmed/33214736 http://dx.doi.org/10.1007/s11196-020-09745-2 Text en © Springer Nature B.V. 2020 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
Abbas, Ali Haif
Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
title Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
title_full Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
title_fullStr Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
title_full_unstemmed Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
title_short Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
title_sort politicizing the pandemic: a schemata analysis of covid-19 news in two selected newspapers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332744/
https://www.ncbi.nlm.nih.gov/pubmed/33214736
http://dx.doi.org/10.1007/s11196-020-09745-2
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