Politeness Strategies Used In the Covid-19 Vaccine Controversies in Real and Anonymous Quora Accounts

Melani Octarina
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Abstract

Everyone may participate in online discussions in this digital age. One of the platforms they can use is Quora. They exchanged their ideas and got information from other users on the COVID-19 vaccine controversy, which has been widely discussed since the epidemic. They can reveal (real account) or conceal (anonymous account) their identity. Then, to avoid debate between users, speakers must use politeness strategies adapted to CMC. This study aims to identify differences in politeness between real/non-anonymous and anonymous in the comments column on Quora in discussions about the Covid-19 vaccine controversy. This research is included in the descriptive qualitative research with a pragmatic approach used to describe linguistic data related to the forms of politeness strategies found in the analysis. Then, the data were taken from netizens’ comments on the five discussions users most discussed from January 2021 to September 2022. The researcher used the theory of Brown and Levinson (1987), which has been adjusted by Nikzam (2013) and Park (2008), to analyze data on the CMC context. This study found that the most widely used politeness strategies were negative ones, followed by positive politeness, off-record, and bald-on record. However, the researcher also found that speakers use linguistic devices to convey interpersonal and affective attitudes in online communication. The tools used are abbreviations and emoticons that aim to simulate gestures and facial expressions (Park, 2008). Further research is needed to determine politeness in CMC (Computer-Mediated Communication) on different discussion platforms.
真实和匿名 Quora 账户在 Covid-19 疫苗争议中使用的礼貌策略
在这个数字时代,每个人都可以参与在线讨论。Quora就是他们可以使用的平台之一。他们就 COVID-19 疫苗争议交换了意见,并从其他用户那里获得了信息。他们可以公开(真实账户)或隐藏(匿名账户)自己的身份。然后,为了避免用户之间的争论,发言者必须使用适应 CMC 的礼貌策略。本研究旨在确定在 Quora 上关于 "Covid-19 疫苗 "争议的讨论中,真实/非匿名与匿名用户在评论栏中的礼貌差异。本研究属于描述性定性研究,采用实用主义方法来描述与分析中发现的礼貌策略形式相关的语言数据。然后,从网民对 2021 年 1 月至 2022 年 9 月网友讨论最多的五个讨论的评论中提取数据。研究者采用布朗和莱文森(Brown and Levinson,1987 年)的理论,并经过尼克扎姆(Nikzam,2013 年)和帕克(Park,2008 年)的调整,对 CMC 语境数据进行分析。本研究发现,使用最多的礼貌策略是消极礼貌策略,其次是积极礼貌策略、记录外礼貌策略和记录上礼貌策略。不过,研究者也发现,说话者在在线交流中会使用语言工具来传达人际关系和情感态度。使用的工具是缩略语和表情符号,旨在模拟手势和面部表情(Park,2008 年)。要确定不同讨论平台上 CMC(计算机辅助交流)中的礼貌问题,还需要进一步的研究。
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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