Cited by 25Academic Writing and PublishingDiscourse Analysis in Language Studiesscientometrics and bibliometrics research

Examining linguistic shifts in academic writing before and after the launch of ChatGPT: a study on preprint papers

Open access
Bao, Tong, Zhao, Yi, Mao, Jin, Zhang, Chengzhi·2025·Scientometrics

Integrity signals

Registry

Crossref · 10.1007/s11192-025-05341-y

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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Authors
Bao, T., Zhao, Y., Mao, J., & Zhang, C.
Affiliations
  • Nanjing University of Science and Technology (CN)
  • Wuhan University (CN)
Corresponding author
Zhang, Chengzhi
Venue
Scientometrics
Published
2025-05-24
Volume
130
Issue
7
Pages
3597-3627
ISSN
  • 0138-9130 (ISSN-L)
  • 1588-2861
OpenAlex
W4410707203
Cited by
25
References
7
Citations by year
2026: 22 · 2025: 3
FWCI
94.05
Type
journal article
Language
en
Open access
Locations
  • Scientometrics (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University) (cc-by)
Funders
  • National Natural Science Foundation of China (72074113)
  • Innovative Research Group Project of the National Natural Science Foundation of China (71921002)
Topics
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Discourse Analysis in Language Studies
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
Keywords
ChatGPT, large language models, academic writing, lexical complexity, syntactic complexity, cohesion, readability, sentiment, English proficiency, disciplinary differences

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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.

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