Multimodal irony in public responses to digitally mediated NHS COVID-19 messaging

IF 3.1 2区 文学 Q1 COMMUNICATION
Discourse Context & Media Pub Date : 2026-04-01 Epub Date: 2026-02-04 DOI:10.1016/j.dcm.2026.100976
Yuze Sha , Gavin Brookes
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引用次数: 0

Abstract

This study investigates how multimodal irony is discursively constructed in the expression of stance and evaluation in comments responding to the UK National Health Service’s (NHS) COVID-19 policy posts on Twitter/X. Using a discursive pragmatic approach, we identified and analysed comments containing instances of multimodal irony targeting COVID-19 policies, institutional authorities, and policy supporters. Our analysis shows that multimodal irony enables users to express negative stance and evaluation indirectly, reframe institutional messaging, and construct in-group alignment among those expressing dissatisfaction by creating and conventionalising semiotic signals. We argue Twitter/X’s platform features, including textual brevity, multimodal richness, threaded interaction, and perceived anonymity, to be critical factors in enabling the construction and circulation of such content. While we do not claim that the comment dataset we analyse represents general public opinion, the ironic responses identified may nonetheless carry communicative influence with other social media users due to their perceived authenticity and peer-like positioning. This influence is likely amplified by platform dynamics which favour affectively loaded and oppositional content, leading to an overrepresentation of dissenting voices relative to more compliant or non-evaluative responses. Significantly, these comments form part of the broader discursive ecosystem of digital crisis communication – in this case, relating to COVID-19 – in which institutional messages are not passively received but actively evaluated, reinterpreted and reframed. This study additionally offers an empirically grounded framework for identifying and analysing multimodal irony in social media discourse and highlights its relevance for understanding the negotiation of institutional legitimacy in digitally mediated contexts of public health communication.
公众对数字媒介NHS COVID-19消息的反应中的多模式讽刺
本研究调查了在Twitter/X上回应英国国家卫生服务(NHS) COVID-19政策帖子的评论中,多模态讽刺是如何在表达立场和评价时被语篇构建的。采用话语实用主义方法,我们确定并分析了包含针对COVID-19政策、机构当局和政策支持者的多模态讽刺实例的评论。我们的分析表明,多模态反讽使用户能够间接地表达负面立场和评价,重构制度信息,并通过创造和常规化符号信号在表达不满的人之间构建群体内一致性。我们认为Twitter/X的平台特性,包括文本简洁、多模态丰富性、线程交互和可感知的匿名性,是促成此类内容构建和流通的关键因素。虽然我们不认为我们分析的评论数据集代表一般公众意见,但由于其感知的真实性和对等定位,所确定的讽刺回应可能会与其他社交媒体用户产生交流影响。这种影响可能会被平台动态放大,因为平台倾向于情感加载和反对内容,导致相对于更顺从或非评估性的回应,反对声音的比例过高。重要的是,这些评论构成了更广泛的数字危机传播话语生态系统的一部分——在这种情况下,与COVID-19有关——在这个生态系统中,机构信息不是被动接受,而是主动评估、重新解释和重新构建。本研究还提供了一个基于经验的框架,用于识别和分析社交媒体话语中的多模态讽刺,并强调了其与理解公共卫生传播数字媒介背景下制度合法性谈判的相关性。
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
Discourse Context & Media
Discourse Context & Media COMMUNICATION-
CiteScore
5.00
自引率
10.00%
发文量
46
审稿时长
55 days
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