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使其具有内部说服力:对新冠疫情阴谋论话语的分析

Making it internally persuasive: Analysis of the conspiratorial discourse on COVID-19.

作者信息

Hashmi Umair Munir, Almekhlafy Sultan Saleh Ahmed, Hashem Mohamed Elarabawy, Shahzad Muhammad, Hashmi Hassam Ahmad, Munir Rabia, Asghar Bibi Hajira Ali

机构信息

Universiti Sultan Zainal Abidin, Malaysia.

Najran University, Saudi Arabia.

出版信息

Discourse Soc. 2023 Jan;34(1):120-141. doi: 10.1177/09579265221145275.

Abstract

This study attempts to generate new insights into the wide spread online and offline conspiratorial discourse on COVID-19. Twofold analytical lens consisted of narrative interrelations framework and content analysis showed how the linguistic resources and conversational such as popular socio-religious discourses, hypothetical narratives, personal narratives, personal mental archives, and interpolated arguments are integrated in the interpretation of intertextual such as Bill Gates' TED talk 2015 (26%); Nematullah Wali's predictions (32%); 'End of Days' book by Sylvia Browne (14.9%); and 'The Eyes of Darkness' novel by Dean Koontz (22%) by which the conspiracists in Pakistan construct an internally persuasive discourse promoting conspiracy theories on COVID-19. Several linguistic resources such as mood, modality, topicalization, insinuation, and intertextuality emerged as the main tools of making the conspiracy theories internally persuasive.

摘要

本研究试图对新冠疫情在网络和线下广泛传播的阴谋论话语产生新的见解。由叙事关联框架和内容分析组成的双重分析视角表明,语言资源和对话,如流行的社会宗教话语、假设叙事、个人叙事、个人心理档案和插入论点,是如何在对互文的解读中整合的,例如比尔·盖茨2015年的TED演讲(占26%);内马图拉·瓦利的预测(占32%);西尔维亚·布朗的《世界末日》一书(占14.9%);以及迪恩·孔茨的小说《黑暗之眼》(占22%),巴基斯坦的阴谋论者通过这些互文构建了一种内部具有说服力的话语,宣扬关于新冠疫情的阴谋论。几种语言资源,如语气、情态、主题化、影射和互文性,成为使阴谋论在内部具有说服力的主要工具。

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本文引用的文献

1
COVID-19 outbreak: current scenario of Pakistan.新冠疫情:巴基斯坦的现状
New Microbes New Infect. 2020 Apr 14;35:100681. doi: 10.1016/j.nmni.2020.100681. eCollection 2020 May.
3
Personal values in human life.人类生活中的个人价值观。
Nat Hum Behav. 2017 Sep;1(9):630-639. doi: 10.1038/s41562-017-0185-3. Epub 2017 Aug 21.
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A hands-on guide to doing content analysis.内容分析实践指南。
Afr J Emerg Med. 2017 Sep;7(3):93-99. doi: 10.1016/j.afjem.2017.08.001. Epub 2017 Aug 21.

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