Er-Te Zheng
ertezheng.bsky.social
Er-Te Zheng
@ertezheng.bsky.social
PhD Student at University of Sheffield | Computational Social Science, Science of Science, Scientometrics, Social Media Metrics, Research Integrity
Next version may add ranking filters + subject filters + non-English journals
November 30, 2025 at 2:44 AM
The results can be exported to Excel
November 30, 2025 at 2:20 AM
Another two screenshots
November 30, 2025 at 2:19 AM
China stands out mainly because Chinese reviewers contribute the largest number of total reviews (~17,800, about 60% of all reviews), which leads to the highest count of AI-generated reviews as well.
November 28, 2025 at 2:05 AM
This result mirrors findings that authors from non-English-speaking countries are more likely to engage in AI-assisted writing for their manuscripts. arxiv.org/abs/2511.15872
AI-Assisted Writing Is Growing Fastest Among Non-English-Speaking and Less Established Scientists
The dominance of English in global science has long created significant barriers for non-native speakers. The recent emergence of generative artificial intelligence (GenAI) dramatically reduces drafti...
arxiv.org
November 28, 2025 at 2:05 AM
Our earlier study also found similar pattern based on a larger dataset doi.org/10.1016/j.jo...
Redirecting
doi.org
November 21, 2025 at 11:32 AM
Reposted by Er-Te Zheng
Positive sentiment does not mean your research is necessarily good, nor does negative sentiment mean your research is trash. Both positive and negative sentiment can be found on Wakefield's retracted Lancet article on MMR and vaccines for example. LOL at the negative one.
September 2, 2025 at 1:26 PM