Responsive strategies and self-identity construction in “Versailles Humblebragging” on Chinese social media

Huijing Wang, Jiaqi Xie
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Abstract

Abstract Versailles humblebragging is becoming an increasingly pervasive pragmatic and linguistic phenomenon since late 2020 in face-to-face and social media communication in China. Despite its ubiquity, there is a relative paucity of empirical research on this new phenomenon, particularly on the reactions of followers in the digital communicative context and the self-identities constructed by the posters, as well as the theoretical limitations to explicate the social cognitive factors behind the novel pragmatic behavior. This study integrated pragmatic and social cognitive theories to conduct quantitative and qualitative analyses of the responsive strategies followers used and the self-identity the humblebraggers built in this phenomenon. Based on the data retrieved from Chinese social media Weibo, we have found generally two major types of responsive strategies, namely the explicit and implicit. A majority of followers employed the implicit strategies to express their acceptance and liking with a preponderance of clicking the “like” affordance, suggesting that Versailles humblebragging helps to build good interpersonal relationship on Weibo. We have also identified seven types of self-identities and explored the underlying factors from the perspective of social cognition. It might be concluded from the findings that certain social and cultural shared beliefs, values and patterns of life are potent factors in shaping Chinese posters’ interpretation of themselves and other people.
中国社交媒体上“凡尔赛谦虚自夸”的回应策略与自我认同建构
自2020年底以来,在中国的面对面交流和社交媒体交流中,凡尔赛谦虚自夸正成为一种越来越普遍的语用和语言现象。尽管它无处不在,但对这一新现象的实证研究相对缺乏,特别是关于追随者在数字交际背景下的反应和海报构建的自我认同,以及解释这种新型实用主义行为背后的社会认知因素的理论局限性。本研究结合语用学和社会认知理论,对追随者使用的回应策略和谦卑吹牛者在这一现象中建立的自我认同进行了定量和定性分析。基于中国社交媒体微博的数据,我们发现了两种主要的响应策略,即显性和隐性。大多数粉丝采用内隐策略来表达自己的接受和喜欢,并以点赞的方式居多,这表明在微博上凡尔赛谦虚自夸有助于建立良好的人际关系。并从社会认知的角度探讨了自我认同的7种类型。从研究结果中可以得出结论,某些社会和文化共同的信仰、价值观和生活模式是塑造中国海报对自己和他人的理解的有力因素。
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