Transparency in research: An analysis of ChatGPT usage acknowledgment by authors across disciplines and geographies.

IF 2.8 1区哲学 Q1 MEDICAL ETHICS

Accountability in Research-Policies and Quality Assurance Pub Date : 2025-04-01 Epub Date: 2023-11-09 DOI:10.1080/08989621.2023.2273377

Raghu Raman

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引用次数: 0

Abstract

This investigation systematically reviews the recognition of generative AI tools, particularly ChatGPT, in scholarly literature. Utilizing 1,226 publications from the Dimensions database, ranging from November 2022 to July 2023, the research scrutinizes temporal trends and distribution across disciplines and regions. U.S.-based authors lead in acknowledgments, with notable contributions from China and India. Predominantly, Biomedical and Clinical Sciences, as well as Information and Computing Sciences, are engaging with these AI tools. Publications like "The Lancet Digital Health" and platforms such as "bioRxiv" are recurrent venues for such acknowledgments, highlighting AI's growing impact on research dissemination. The analysis is confined to the Dimensions database, thus potentially overlooking other sources and grey literature. Additionally, the study abstains from examining the acknowledgments' quality or ethical considerations. Findings are beneficial for stakeholders, providing a basis for policy and scholarly discourse on ethical AI use in academia. This study represents the inaugural comprehensive empirical assessment of AI acknowledgment patterns in academic contexts, addressing a previously unexplored aspect of scholarly communication.

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研究的透明度:跨学科和地域的作者对ChatGPT使用情况的认可分析。

目的：本研究旨在系统分析学术出版物中对生成人工智能工具，特别是ChatGPT的认可。它深入研究了多个维度的模式，包括地理分布、学科隶属关系、期刊和机构代表性。方法：使用Dimensions数据库中的数据集，该数据库由2022年11月至2023年7月的1226篇出版物组成，该研究采用了各种分析技术，包括时间分析和跨研究领域和地理位置的分布图。研究结果：美国机构附属作者的致谢最为频繁，其次是中国和印度的重要贡献。生物医学和临床科学等领域以及信息和计算科学都有很高的代表性。《柳叶刀数字健康》等知名期刊和包括《bioRxiv》在内的预印本平台经常出现致谢，这表明人工智能工具在加快研究出版方面发挥着加速作用。局限性：本研究的范围仅限于Dimensions数据库，可能缺少其他平台或非索引文献的数据。此外，该研究没有评估承认的质量或伦理。实际意义：研究结果对包括研究人员、学术出版商和机构在内的一系列利益相关者具有指导意义。它们提供了一个基础性的理解，可以为未来在学术界道德和透明地使用人工智能的政策和研究提供信息。独创性：这项研究是第一项系统地研究生成人工智能工具的认知模式的实证研究，从而填补了现有学术中的一个空白。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accountability in Research-Policies and Quality Assurance MEDICAL ETHICS-

CiteScore

4.90

自引率

14.70%

发文量

审稿时长

>12 weeks

期刊介绍： Accountability in Research: Policies and Quality Assurance is devoted to the examination and critical analysis of systems for maximizing integrity in the conduct of research. It provides an interdisciplinary, international forum for the development of ethics, procedures, standards policies, and concepts to encourage the ethical conduct of research and to enhance the validity of research results. The journal welcomes views on advancing the integrity of research in the fields of general and multidisciplinary sciences, medicine, law, economics, statistics, management studies, public policy, politics, sociology, history, psychology, philosophy, ethics, and information science. All submitted manuscripts are subject to initial appraisal by the Editor, and if found suitable for further consideration, to peer review by independent, anonymous expert referees.