Emergent Twitter publics through political scandal

IF 1.7 3区 文学 0 LANGUAGE & LINGUISTICS Journal of Language and Politics Pub Date : 2023-05-09 DOI:10.1075/jlp.22028.rat
C. Rathnayake, Angela Smith, Michael Higgins
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Abstract

This study examines how emergent Twitter publics are organised and engage with political scandal and personalisation during Covid-19 in the UK. The analysis is centred on a series of media events around Chief Adviser to the then-UK Prime Minister, running from May 2020 to May 2021. The samples comprises original tweets that contain key hashtags, amounting to 38,326 items. These are subject to topic model analysis to identify semantic fields, before using critical discourse analysis. We find hashtags help constitute emergent Twitter publics, and that tweets follow conversational patterns and conspire in tactics of intertextuality. Dissention to government conduct engages resourcefully with the affordances of Twitter: constituting publics, shaping discourse, and articulating with parallel discussions on political performance. Further, a computational approach can systematise the identification of domains of discourse and relevant lexical sets, providing an evidence-based understanding of even novel and emergent political discourses in online discussion.
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通过政治丑闻涌现的Twitter公众
本研究考察了在英国新冠肺炎期间,新兴的Twitter公众是如何组织和参与政治丑闻和个性化的。该分析集中于2020年5月至2021年5月期间围绕时任英国首相首席顾问的一系列媒体事件。样本包含包含关键标签的原始tweet,共计38,326条。在使用批判语篇分析之前,这些都要经过主题模型分析来识别语义场。我们发现,标签有助于构成Twitter上的新兴公众,推文遵循会话模式,并以互文性的策略密谋。对政府行为的异议巧妙地利用了Twitter的支持:构成公众,塑造话语,并与有关政治表现的平行讨论相结合。此外,计算方法可以将话语领域和相关词汇集的识别系统化,为在线讨论中新颖和新兴的政治话语提供基于证据的理解。
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来源期刊
CiteScore
2.90
自引率
7.70%
发文量
50
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