JOURNAL ARTICLE

"You can f*** get lost already": (Responding to) impoliteness in the (in-)authentic discourse of comedy and crime TV series and movies.

  • Published In: Journal of Politeness Research: Language, Behavior, Culture, 2023, v. 19, n. 2. P. 485 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Talebzadeh, Hossein; Khazraie, Marzieh 3 of 3

Abstract

As a vital means of communication in social life, people's talk is likely to be influenced by the media, specifically film talk. The study aimed at understanding how impoliteness is presented in TV series and movies. We investigated, quantitatively and qualitatively, 928 min of interactions from selected comedy and crime genres (popular among a group of English as a Foreign Language [EFL] learners). The collected corpus was analyzed using (revised) taxonomies of impoliteness strategies and defensive strategies. The findings revealed that although both cinematic genres abound with incivility, the type of prevalent impoliteness strategies differ between genres. Moreover, the viewers of the English TV series and movies are exposed to impoliteness presented in film discourse, specifically, taboo words. Considering the overall adequacy of the adopted analysis models and the noticeable impact film talk might have on individuals and society, we draw on our findings and the literature to conclude with explanations (e.g., disaffiliative humor and cognitive safety) and implications for similar sociopragmatic studies and applied linguistics domains (particularly language learning and teaching). [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Politeness Research: Language, Behavior, Culture. 2023/07, Vol. 19, Issue 2, p485
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:1612-5681
  • DOI:10.1515/pr-2021-0010
  • Accession Number:165037541
  • Copyright Statement:Copyright of Journal of Politeness Research: Language, Behavior, Culture is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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