The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
How China created AI model DeepSeek and shocked the world
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
Kobak et al. concluded that a significant number of scientists are using GenAI chatbots in their writing and that these chatbots have preferred wordings.
“They concluded that a significant number of scientists are using GenAI chatbots in their writing and that these chatbots have preferred wordings.”
From Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports (2025) · cites this paper as [5]
Following ChatGPT's launch, there was a surge in the prevalence of certain stylistic markers in student reports.
“Consistent with previous studies 4-6 , we observed a surge in the prevalence of certain stylistic markers following ChatGPT's launch.”
From Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports (2025) · cites this paper as [5]
There is a growing awareness among students of the lexical signatures associated with GenAI tools and a conscious effort to distance their writing from those signatures.
“This suggests a growing awareness among students of the lexical signatures associated with GenAI tools (due to e.g., increasing familiarity and research like 4-6 ) and a conscious effort to distance their writing from those signatures.”
From Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports (2025) · cites this paper as [5]
The eight target words were chosen because their prevalence increased over 80% since the launch of ChatGPT.
“These were chosen for their different word class and their prevalence increasing over 80% since the launch of ChatGPT.”
From Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports (2025) · cites this paper as [5]
Prior studies identified eight target stylistic words as being associated with ChatGPT-generated texts.
“Informed by prior studies 4-6 , we selected eight target stylistic words that were identified as being associated with ChatGPT-generated texts.”
From Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports (2025) · cites this paper as [5]
Citations
Cites
DeepSeek-AI, Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., et al. (2024) · arXiv · doi:10.48550/arxiv.2412.19437 · Cited by 294
Flagged first, then by citations
Cited by
Sorted by citations
The rise of AI in healthcare education: DeepSeek and GPT-4o take on the 2024 Taiwan Pharmacist Exam
Wang, Y.-M., & Chen, T.-J. (2025) · Journal of the Chinese Medical Association · doi:10.1097/jcma.0000000000001220 · Cited by 13
Mak, M. H. C., & Walasek, L. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100507 · Cited by 10
Metadata
- Authors
- Conroy, G., & Mallapaty, S.
- Venue
- Nature
- Published
- 2025-01-30
- Volume
- 638
- Issue
- 8050
- Pages
- 300-301
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4406983611
- Cited by
- 106
- References
- 1
- Citations by year
- 2026: 40 · 2025: 66
- Type
- other
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Research, Science, and Academia
- Keywords
- DeepSeek, large language models, government AI policy
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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