{"title":"Impoliteness Strategies in Trevor Noah’s Afraid of The Dark Stand-up Comedy Show","authors":"A. Hafisa, Sharifah Hanidar","doi":"10.22146/LEXICON.V7I2.66571","DOIUrl":null,"url":null,"abstract":"This research focuses on identifying the impoliteness strategies and explaining the purposes of the most frequently used strategy in Afraid of the Dark stand-up comedy show performed by Trevor Noah. The data of this research are Trevor Noah’s utterances which contains impoliteness strategies. The analysis was based on the impoliteness strategies theory proposed by Jonathan Culpeper (1996). The result of this research shows that Trevor Noah uses 105 instances of impoliteness strategies which cover all five types of strategies proposed by Culpeper; bald on record impoliteness, positive impoliteness, negative impoliteness, sarcasm or mock politeness, and withhold politeness. Based on the findings, negative impoliteness is found to be the most frequently used strategy. It occurs 42 times or with a percentage of 40% of the whole data. This high frequency of negative impoliteness strategy is used to entertain the audience. Trevor Noah mostly used ‘condescend, scorn, or ridicule’ sub-strategies of negative impoliteness intended to amuse and entertain the audience and also to induce laughter when hearing one being ridiculed or disparaged.","PeriodicalId":45215,"journal":{"name":"Mental Lexicon","volume":"25 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mental Lexicon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22146/LEXICON.V7I2.66571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 1
Abstract
This research focuses on identifying the impoliteness strategies and explaining the purposes of the most frequently used strategy in Afraid of the Dark stand-up comedy show performed by Trevor Noah. The data of this research are Trevor Noah’s utterances which contains impoliteness strategies. The analysis was based on the impoliteness strategies theory proposed by Jonathan Culpeper (1996). The result of this research shows that Trevor Noah uses 105 instances of impoliteness strategies which cover all five types of strategies proposed by Culpeper; bald on record impoliteness, positive impoliteness, negative impoliteness, sarcasm or mock politeness, and withhold politeness. Based on the findings, negative impoliteness is found to be the most frequently used strategy. It occurs 42 times or with a percentage of 40% of the whole data. This high frequency of negative impoliteness strategy is used to entertain the audience. Trevor Noah mostly used ‘condescend, scorn, or ridicule’ sub-strategies of negative impoliteness intended to amuse and entertain the audience and also to induce laughter when hearing one being ridiculed or disparaged.
期刊介绍:
The Mental Lexicon is an interdisciplinary journal that provides an international forum for research that bears on the issues of the representation and processing of words in the mind and brain. We encourage both the submission of original research and reviews of significant new developments in the understanding of the mental lexicon. The journal publishes work that includes, but is not limited to the following: Models of the representation of words in the mind Computational models of lexical access and production Experimental investigations of lexical processing Neurolinguistic studies of lexical impairment. Functional neuroimaging and lexical representation in the brain Lexical development across the lifespan Lexical processing in second language acquisition The bilingual mental lexicon Lexical and morphological structure across languages Formal models of lexical structure Corpus research on the lexicon New experimental paradigms and statistical techniques for mental lexicon research.