Representation of Emerging COVID-19 in Bangladeshi Newspapers

Representation of Emerging COVID-19 in Bangladeshi Newspapers

Mehnaz Hoque

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Sk. Abu Raihan Siddique

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Jagannath University

Representation of Emerging COVID-19 in Bangladeshi Newspapers

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Abstract

This study explains how Bangladeshi media responded during the coronavirus crisis focusing on the issues of news related to COVID-19. The study analyzes the content of a total of 744 articles in the ProthomAlo & The Daily Star, the country’s most-read newspapers in-between the timeline from 8th March 2020 to 4th April 2020. It investigates how the COVID-19 presented as `furious’ and `deadly’ virus among the readers. In particular, this study explores the representation pattern of the phenomena of ’emerging deadly infectious diseases’ in the newspapers. Using Social Representation Theory (SRT), the study investigates the collective meaning sharing focus on the news coverage during the early stage of the COVID-19 outbreak in Bangladesh. The study also finds out how the newspapers sideline the representation of this pandemic as a `health crisis’ to ` national economic crisis.’ Thus the representation covers up the government irresponsibility by focusing more on `unconscious mass’ and `limitations’ of a developing country. Therefore, the `panic’ increases and the solution of this pandemic muffled under it. Also, this study provides some tentative explanations for this linguistic representation by editorial sections of these newspapers.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Mehnaz Hoque. 2020. \u201cRepresentation of Emerging COVID-19 in Bangladeshi Newspapers\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 20 (GJHSS Volume 20 Issue A12): .

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GJHSS Volume 20 Issue A12
Pg. 37- 49

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

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GJHSS-A Classification: FOR Code: 890303

Submission ReceivedDecember 8, 2019
Peer Review Double Blind
Handling Editor
Accepted January 4, 2020
Published January 15, 2020

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v1.2

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August 29, 2020

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