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A corpus-based analysis of politeness strategies in Arabic speakers’ interactions with ChatGPT

Saleem Abdelhady, Konstantinos M. Pitychoutis

Cogent Arts & Humanities · Published

Examines user-side politeness in Arabic conversations selected through WildVis. The authors code prompts with an adapted Brown and Levinson framework and compare openings, conversation bodies, closings, and topic shifts to study directness and relational language in human–AI interaction.

Data used

349 Arabic-dominant WildChat conversations with at least ten turns, retrieved through WildVis.

Findings

Bald on-record strategies account for 88.42% of coded instances in the selected conversations.

Sections 3.1–3.2: WildVis retrieval and coding. Section 4.1: strategy proportions. Read the source.

Dates and versions

Journal publication date. Publication record.

Published journal article.

Cite this paper

Saleem Abdelhady, Konstantinos M. Pitychoutis. 2026. A corpus-based analysis of politeness strategies in Arabic speakers’ interactions with ChatGPT. Cogent Arts & Humanities.

Show BibTeX
@article{abdelhady2026politeness,
  title = {{A corpus-based analysis of politeness strategies in Arabic speakers’ interactions with ChatGPT}},
  author = {Abdelhady, Saleem and Pitychoutis, Konstantinos M.},
  year = {2026},
  journal = {Cogent Arts \& Humanities},
  publisher = {Taylor \& Francis},
  volume = {13},
  number = {1},
  pages = {2691356},
  doi = {10.1080/23311983.2026.2691356},
  url = {https://doi.org/10.1080/23311983.2026.2691356}
}

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