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Discursive Toolkits of Anti-Muslim Disinformation on Twitter
The International Journal of Press/Politics ( IF 4.495 ) Pub Date : 2022-03-01 , DOI: 10.1177/19401612221084633
Kiran Vinod Bhatia 1 , Payal Arora 2
Affiliation  

In this article, we investigate the socio-technical ecology of Twitter, including the technological affordances of the platform and the user-generated discursive strategies used to create and circulate anti-Muslim disinformation online. During the first wave of Covid-19, right-wing followers claimed that Muslims were spreading the virus to perform Jihad. We analyzed a sample of 7000 tweets using Critical Discourse Analysis to examine how the online disinformation accusing Muslims in India was initiated and sustained. We identify three critical discourse strategies used on Twitter to spread and sustain the anti-Muslim (dis)information: (1) creating mediatized hate solidarities, (2) appropriating instruments of legitimacy, and (3) practicing Internet Hindu vigilantism. Each strategy consists of a subset of discursive toolkits, highlighting the central routes of discursive engagement to produce disinformation online. We argue that understanding how the technical affordances of Social Networking Sites are leveraged in quotidian online practices to produce and sustain the phenomenon of online disinformation will prove to be a novel contribution to the field of disinformation studies and Internet research.



中文翻译:

Twitter 上反穆斯林虚假信息​​的话语工具包

在本文中,我们调查了 Twitter 的社会技术生态,包括该平台的技术可供性以及用于在线创建和传播反穆斯林虚假信息​​的用户生成的话语策略。在 Covid-19 的第一波浪潮中,右翼追随者声称穆斯林传播病毒是为了进行圣战。我们使用批判性话语分析分析了 7000 条推文样本,以检查指责印度穆斯林的在线虚假信息是如何发起和持续的。我们确定了 Twitter 上用于传播和维持反穆斯林 (dis) 信息的三种批判性话语策略:(1) 建立媒介化的仇恨团结,(2) 挪用合法性工具,以及 (3) 实践互联网印度教义警。每个策略都包含一个话语工具包的子集,强调在网上制造虚假信息的话语参与的主要途径。我们认为,了解社交网站的技术负担如何在日常在线实践中被利用来产生和维持在线虚假信息现象将被证明是对虚假信息研究和互联网研究领域的新贡献。

更新日期:2022-03-01
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