ChatGPT-authored Japanese writing can be stylistically distinguished with up to 100% accuracy from human-authored text by machine learning algorithms
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Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0288453
Article Title: Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis
Author Countries: Japan
Funding: This work was partly supported by JSPS KAKENHI Grant Number JP22K12726. The funders did not participate in this study design, data collection, analysis, or decision to publish, except their role in paying the English proofreading and Publication Fee.
PLOS ONE
Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis
9-Aug-2023
The authors have declared that no competing interests exist.