(Im)politeness on Facebook during the Covid-19 pandemic

礼貌 背景(考古学) 社会化媒体 2019年冠状病毒病(COVID-19) 语用学 心理学 预设 言语行为 语言学 社会学 媒体研究 政治学 历史 法学 医学 哲学 病理 考古 传染病(医学专业) 疾病
作者
Jean Mathieu Tsoumou
出处
期刊:Journal of politeness research 卷期号:19 (1): 249-284 被引量:4
标识
DOI:10.1515/pr-2021-0008
摘要

Abstract Digital discourse has emerged as a substantial focus of interest within the pragmatic field. Specifically, (im)politeness practices on social media have increasingly received scholarly attention in the last decade (Tagg, Caroline, Philip Seargeant & Amy Aisha Brown. 2017. Taking offence on social media. Conviviality and conviviality and communication on Facebook. Switzerland: Springer Nature, Palgrave McMillan; Tsoumou, Jean Mathieu. 2020. Analyzing speech acts in politically related Facebook communication. Journal of Pragmatics 167. 80–97). However, research combining COVID-19, Facebook and (im)politeness in a politically polarizing context is still scarce. This paper is an analysis of (im)politeness in Facebook comments posted as reactions to Giuliani’s COVID diagnosis. Thus, by combining quantitative and qualitative approaches, the aim of the present paper is twofold: On the one hand, it intends to further our understanding of the manifestation of (im)politeness practices on Facebook through an analysis of reactive comments to Giuliani’s Covid-19 diagnosis on BBC news Facebook page. On the other hand, the paper aims to examine how the struggle between impoliteness and politeness divides Facebook users between sympathizers and detractors of the patient. Through a metadiscursive analysis, the identified (im)politeness items are distributed in an uneven fashion, with impoliteness-oriented items prevailing as the dominant macro category against politeness-oriented ones. The findings suggest that users employ different strategies to express or intensify (im)politeness, favoring explicit expressions of impoliteness such as redress/agreement, insults, pointed criticisms/complaints, unpalatable questions and/or presuppositions over others like threats.
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