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‘#SayNoToRohingya’: a critical study on Malaysians’ amplified resentment towards Rohingya refugees on Twitter during the 2020 COVID-19 crisis

Rashid, Nadhirah Zainal; Saidin, Mohd Irwan Syazli

‘#SayNoToRohingya’: a critical study on Malaysians’ amplified resentment towards Rohingya refugees on Twitter during the 2020 COVID-19 crisis Thumbnail


Authors

Nadhirah Zainal Rashid



Abstract

This article investigates how resentment among Malaysians towards Rohingya refugees become amplified on social media during the COVID-19 crisis. The focus of this article is the public discourse of Malaysians on Twitter, regarding Rohingya refugee issues. Through a qualitative content analysis of Tweets from Malaysian users during the country’s Movement Control Order, this article argues that the cause of Malaysians’ grievances was due to the citizens’ echo chambering of implicit insecurities. A deeper problem was also rooted in the nation where the distinction between refugees and undocumented migrants does not exist, and the inconsistencies of government policies towards refugees.

Citation

Rashid, N. Z., & Saidin, M. I. S. (2023). ‘#SayNoToRohingya’: a critical study on Malaysians’ amplified resentment towards Rohingya refugees on Twitter during the 2020 COVID-19 crisis. The Round Table, 112(4), 386-406. https://doi.org/10.1080/00358533.2023.2244287

Journal Article Type Article
Acceptance Date Aug 1, 2023
Online Publication Date Sep 8, 2023
Publication Date Jul 4, 2023
Deposit Date Sep 20, 2023
Publicly Available Date Sep 20, 2023
Journal The Round Table
Print ISSN 0035-8533
Electronic ISSN 1474-029X
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 112
Issue 4
Pages 386-406
DOI https://doi.org/10.1080/00358533.2023.2244287
Keywords Geography, Planning and Development
Public URL https://durham-repository.worktribe.com/output/1743560

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Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/

Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.





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