Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese

Wataru Zaitsu, Mingzhe Jin, Shunichi Ishihara, Satoru Tsuge, Mitsuyuki Inaba

Open source

DOI: 10.1371/journal.pone.0335369
Published: 2025-10-27
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0335369,
  title = {Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese},
  author = {Wataru Zaitsu and Mingzhe Jin and Shunichi Ishihara and Satoru Tsuge and Mitsuyuki Inaba},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0335369},
  url = {https://doi.org/10.1371/journal.pone.0335369}
}

RIS

TY  - JOUR
TI  - Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese
AU  - Wataru Zaitsu
AU  - Mingzhe Jin
AU  - Shunichi Ishihara
AU  - Satoru Tsuge
AU  - Mitsuyuki Inaba
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0335369
UR  - https://doi.org/10.1371/journal.pone.0335369
ER  -

APA

Zaitsu, W., Jin, M., Ishihara, S., Tsuge, S., & Inaba, M. (2025). Stylometry can reveal artificial intelligence authorship, but humans struggle: A comparison of human and seven large language models in Japanese. PLOS One. https://doi.org/10.1371/journal.pone.0335369

Source records

crossref · retrieved 2026-11-03T21:13:13.589Z