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Accentism: Experiences of Thais as English LX Users in Workplaces.

  • Published In: International Journal of Applied Linguistics, 2025, v. 35, n. 3. P. 1262 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Tarrayo, Veronico N.; Srimalee, Poowadol; Bamroongkit, Sirikorn 3 of 3

Abstract

Accent discrimination, or accentism, has been studied in various contexts, with a few focusing on hierarchical workplace environments. However, its impact in Thailand remains underexplored. Through nonprobability purposive–convenience sampling, this study investigates accentism in Thai workplaces through online semi‐structured interviews with six Thai employees. Using a thematic‐analysis approach, it examines their perceptions of their English accent, the extent and nature of accent discrimination they face, and its effects on them. The findings reveal that Thai employees experience both overt and covert accentism, affecting their self‐esteem and professional opportunities. Participants reported cases of mockery, diminished confidence, and social exclusion directly linked to their "nonnative" English accents, emphasizing a prevalent workplace bias that associates professional competence with ("native") accent conformity. This bias is not solely linguistic but deeply intertwined with social identity and power dynamics within professional settings. Implications from the findings emphasize the need for Thai workplaces to adopt more inclusive practices that recognize and value linguistic diversity. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Applied Linguistics. 2025/08, Vol. 35, Issue 3, p1262
  • Document Type:Article
  • Subject Area:Women's Studies and Feminism
  • Publication Date:2025
  • ISSN:0802-6106
  • DOI:10.1111/ijal.12698
  • Accession Number:187163689
  • Copyright Statement:Copyright of International Journal of Applied Linguistics is the property of Wiley-Blackwell 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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