What do academics have to say about ChatGPT? A text mining analytics on the discussions regarding ChatGPT on research writing

被引：0
作者：
Rex Bringula [1 ]
机构：
[1] University of the East,College of Computer Studies and Systems
来源：
AI and Ethics | 2025年 / 5卷 / 1期
关键词：
Artificial intelligence; Chatbot; Natural language processing; Opinion mining;
D O I：
10.1007/s43681-023-00354-w
中图分类号：
学科分类号：
摘要：
This study employed text mining analytics to determine the perceptions of academics (e.g., scholars, teachers, educators, and researchers) regarding ChatGPT in research writing. Toward this goal, research articles relating to the use of ChatGPT in research writing were collected from Scopus and Google Scholar. Using keywords and the criteria set forth, 86 selected peer- and non-peer-reviewed articles were published between 2022 and 2023. All except one paper were published in a scientific journal. It was shown that ChatGPT is a valuable tool for content generation and could provide quick feedback from a text-based inquiry. Support and content generation, publication ethics, and the duality of ChatGPT were the three themes discovered using topic modeling. The top concern of academics was that it could facilitate plagiarism. Overall, the sentiment score was positive, implying that the academic community has a favorable perception of this novel technology. Recommendations and implications are offered.
引用
收藏
页码：371 / 383
页数：12
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[1]  
Altmäe S(2023)Artificial intelligence in scientific writing: a friend or a foe? Reprod. BioMed. 24 1-7
[2]  
Sola-Leyva A(2018)Research trends on big data in marketing: a text mining and topic modeling based literature analysis Eur. Res. Manag. Bus. Econ. 9 1019-1031
[3]  
Salumets A(2023)AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in sports and exercise medicine manuscript generation BMJ Open Sport Exerc. Med. Exerc. Med. 6 2127469-10
[4]  
Amado A(2022)Muni-Muni: mood analyzer and screening tests for the national center of mental health using sentiment analysis Int. J. Comput. Sci. Res. 9 1-1684
[5]  
Cortez P(2022)Text mining analysis on students’ expectations and anxieties towards data analytics course Cogent Eng. 5 1664-583
[6]  
Rita P(2018)Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis J. Big Data 7 568-1186
[7]  
Moro S(2023)Sentiment analysis of students’ perception towards the implementation of limited in-person learning: a post-pandemic perspective Int. J. Comput. Sci. Res. 5 1162-1189
[8]  
Anderson N(2021)Mining students’ feedback in a general education course: basis for improving blended learning implementation Int. J. Comput. Sci. Res. 7 1187-950
[9]  
Belavy DL(2023)Province of Laguna Legislative Management and tracking system with the application of latent Dirichlet allocation (LDA) algorithm Int. J. Comput. Sci. Res. 31 940-25
[10]  
Perle SM(2023)Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy? Semin. Nucl. Med. 6 18-78
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