This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Information Seeking, Information Needs (465) Artificial Intelligence (1371) Artificial Intelligence (86) Natural Language Processing (692) Natural Language Processing (23)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51229, first published .
Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Authors of this article:

Shu-Li Cheng1 Author Orcid Image ;   Shih-Jen Tsai2, 3 Author Orcid Image ;   Ya-Mei Bai2, 3 Author Orcid Image ;   Chih-Hung Ko4, 5, 6 Author Orcid Image ;   Chih-Wei Hsu7 Author Orcid Image ;   Fu-Chi Yang8 Author Orcid Image ;   Chia-Kuang Tsai8 Author Orcid Image ;   Yu-Kang Tu9, 10 Author Orcid Image ;   Szu-Nian Yang11, 12, 13 Author Orcid Image ;   Ping-Tao Tseng14, 15, 16 Author Orcid Image ;   Tien-Wei Hsu17, 18 Author Orcid Image ;   Chih-Sung Liang19, 20 Author Orcid Image ;   Kuan-Pin Su21, 22, 23 Author Orcid Image
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