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

Zaitsu W, Jin M, Ishihara S, Tsuge S, Inaba M

DOI: 10.1371/journal.pone.0335369
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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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 = {Zaitsu W and Jin M and Ishihara S and Tsuge S and Inaba M},
  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  - Zaitsu W
AU  - Jin M
AU  - Ishihara S
AU  - Tsuge S
AU  - Inaba M
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0335369
UR  - https://doi.org/10.1371/journal.pone.0335369
ER  -

APA

W, Z., M, J., S, I., S, T., & M, I. (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

pubmed · retrieved 2026-09-25T22:39:51.798Z