A meta-discursive analysis of engagement markers in QAnon anti-immigration comments

IF 1.7 3区 文学 0 LANGUAGE & LINGUISTICS
Sahar Rasoulikolamaki, Alena Zhdanava, Noor Aqsa Nabila Mat Isa, Mohd Nazriq Noor Ahmad, Surinderpal Kaur
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引用次数: 0

Abstract

Abstract To better understand QAnon’s anti-immigration rhetoric, the study conducted a meta-discursive analysis of one of the group’s active Telegram channels by drawing on Hyland’s (2005) model of interaction. Specifically, engagement markers in their immigration-related discourse were analyzed to see how they contribute to endorsing the group’s macro conspiratorial arguments. The results illustrate a complex rhetorical manipulation and nearly unanimous expression of hate toward immigrants, with the use of ‘directives’ and ‘questions’ being the most prevalent metadiscursive markers. The former suggests that the commenters were more assertive or commanding in their tone, while the latter located within rhetorical persuasion, aimed at stimulating negative attitude toward immigrants. Conversely, a low frequency of the ‘shared knowledge’ markers indicates a lack of interest to establish credibility and constructive dialogue with the audience. The study aimed to unpack the nature of anti-immigration extremist discourse on social media, and its potential to incite violence among public.
QAnon反移民评论中参与标记的元话语分析
为了更好地理解QAnon的反移民言论,本研究利用Hyland(2005)的互动模型,对该组织的一个活跃Telegram频道进行了元话语分析。具体来说,我们分析了他们移民相关话语中的参与标记,以了解它们如何有助于支持该团体的宏观阴谋论论点。结果显示了一种复杂的修辞手法和对移民几乎一致的仇恨表达,使用“指示”和“问题”是最普遍的元话语标记。前者表明评论者的语气更加自信或威严,而后者位于修辞说服中,旨在激发对移民的负面态度。相反,“共享知识”标记的频率较低表明缺乏与听众建立可信度和建设性对话的兴趣。这项研究旨在揭示社交媒体上反移民极端主义言论的本质,及其在公众中煽动暴力的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.90
自引率
7.70%
发文量
50
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