{"title":"Politeness as a participants’ matter: the interactive construction of apologies in Mandarin Chinese conversation","authors":"Chase Wesley Raymond , Guodong Yu","doi":"10.1016/j.lingua.2025.104105","DOIUrl":null,"url":null,"abstract":"<div><div>The present study aims to expand our understanding of apologies in Mandarin Chinese by taking a conversation analytic (CA) approach to their use in naturally occurring discourse. In the context of debates about “Eastern” vs. “Western” worldviews and conceptualizations of politeness, and where Chinese politeness has arguably been transformed into a “testing ground” for Western politeness theories, CA offers an alternative path forward that is based in the demonstrated perspectives of the participants. Drawing on a collection of over 100 apology turns in natural interaction, we exemplify CA’s data-driven approach, first by describing our process of building a collection of apology actions from naturally occurring Chinese conversational corpora, and then through detailed examination of empirical examples. We bring together a range of sorts of evidence in support of a ‘principle of proportionality’ with regard to the construction of apology actions. The paper overall seeks to present a sort of methodological ‘primer’, exemplifying the use of CA methods to explore politeness-related phenomena in Chinese, with apology actions (and the sequences they engender) offering a concrete case-in-point for methodological reflection and illustration.</div></div>","PeriodicalId":47955,"journal":{"name":"Lingua","volume":"332 ","pages":"Article 104105"},"PeriodicalIF":1.3000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lingua","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002438412500230X","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/2 0:00:00","PubModel":"Epub","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The present study aims to expand our understanding of apologies in Mandarin Chinese by taking a conversation analytic (CA) approach to their use in naturally occurring discourse. In the context of debates about “Eastern” vs. “Western” worldviews and conceptualizations of politeness, and where Chinese politeness has arguably been transformed into a “testing ground” for Western politeness theories, CA offers an alternative path forward that is based in the demonstrated perspectives of the participants. Drawing on a collection of over 100 apology turns in natural interaction, we exemplify CA’s data-driven approach, first by describing our process of building a collection of apology actions from naturally occurring Chinese conversational corpora, and then through detailed examination of empirical examples. We bring together a range of sorts of evidence in support of a ‘principle of proportionality’ with regard to the construction of apology actions. The paper overall seeks to present a sort of methodological ‘primer’, exemplifying the use of CA methods to explore politeness-related phenomena in Chinese, with apology actions (and the sequences they engender) offering a concrete case-in-point for methodological reflection and illustration.
期刊介绍:
Lingua publishes papers of any length, if justified, as well as review articles surveying developments in the various fields of linguistics, and occasional discussions. A considerable number of pages in each issue are devoted to critical book reviews. Lingua also publishes Lingua Franca articles consisting of provocative exchanges expressing strong opinions on central topics in linguistics; The Decade In articles which are educational articles offering the nonspecialist linguist an overview of a given area of study; and Taking up the Gauntlet special issues composed of a set number of papers examining one set of data and exploring whose theory offers the most insight with a minimal set of assumptions and a maximum of arguments.