Cited by 17Discourse Analysis in Language StudiesLinguistics and Discourse AnalysisLinguistic research and analysis

Disciplinary variation of metadiscourse: A comparison of human-written and ChatGPT-generated English research article abstracts

Zhang, Man, Zhang, Jiawei·2025·Journal of English for Academic Purposes

Integrity signals

Registry

Crossref · 10.1016/j.jeap.2025.101540

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Authors
Zhang, M., & Zhang, J.
Affiliations
  • Guangdong University of Foreign Studies (CN)
  • Central China Normal University (CN)
Corresponding author
  • Zhang, Man
  • Zhang, Jiawei
Venue
Journal of English for Academic Purposes
Publisher
Elsevier BV
Published
2025-07
Volume
76
Pages
101540
ISSN
1475-1585 (ISSN-L)
OpenAlex
W4411591905
Cited by
17
References
9
Citations by year
2026: 15 · 2025: 2
FWCI
89.87
Type
journal article
Language
en
Open access
closed
Locations
Journal of English for Academic Purposes (publishedVersion)
Funders
National Social Science Fund of China (22BYY012)
Topics
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Discourse Analysis in Language Studies
  • Social Sciences › Arts and Humanities › Philosophy › Linguistics and Discourse Analysis
  • Social Sciences › Arts and Humanities › Language and Linguistics › Linguistic research and analysis
Keywords
metadiscourse, ChatGPT, large language models, research article abstracts, disciplinary variation, human-written vs machine-generated text, discourse functions, metadiscourse markers, academic writing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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