Who is our friend and who is our enemy? The enregisterment of tribalising digital discourse during the COVID-19 pandemic
Abstract: This study demonstrates how tribalism and nationalism, exacerbated by the COVID-19 pandemic, have given rise to the enregisterment of a cultural discursive practice – dui (怼) – on Chinese social media. Based on a sample of social media posts collected through a combination of ‘noticing’ and systematic data scanning and archiving over a month, our analysis shows that dui shifted from a discursive practice of friendly teasing, a specific function that underpinned its rise of popularity prior to the onset of the pandemic, to an oppositional discursive practice characterised by wrangling, words of violence and a conversationalised journalistic discourse of refuting. We argue that COVID-19 has heightened Chinese netizens’ sensitivities towards China’s perceived friends and enemies. This politicisation, together with the associated traditional discourses of national pride and humiliation, contributed to the emergence of dui as a tribalising discourse, which in turn has further destabilised and polarised the user community on Chinese social media and beyond. The study illustrates the mutually constitutive nature of the enregisterment of discursive practices and social relationships and the importance of bringing together discourse analytical and socio-cultural perspectives in analytical terms.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Who is our friend and who is our enemy? The enregisterment of tribalising digital discourse during the COVID-19 pandemic ; volume:16 ; number:1 ; year:2025 ; pages:57-78 ; extent:22
Applied linguistics review ; 16, Heft 1 (2025), 57-78 (gesamt 22)
- Urheber
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Hua, Zhu
Wei, Li
- DOI
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10.1515/applirev-2023-0269
- URN
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urn:nbn:de:101:1-2502170441432.508738418368
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:20 MESZ
Datenpartner
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Beteiligte
- Hua, Zhu
- Wei, Li
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