Does ChatGPT generate fake results? Challenges in retrieving content through ChatGPT

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Muhammad Safdar, Nadeem Siddique, Ayesha Gulzar, Haisim Yasin, Ajmal Khan
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引用次数: 0

Abstract

Purpose

ChatGPT is a new development in this technological era. This artificial intelligence-based tool responds to individuals’ queries and produces the requested content within seconds. Therefore, it is becoming popular among academics, the research community and library professionals. This study aims to test (through personal interaction with the tool) the authenticity of the ChatGPT’s produced records. Another objective of the research is to check the relevance between the individuals’ queries and the tool’s results. The research also intends to identify the challenges in retrieving information through ChatGPT.

Design/methodology/approach

The five researchers from different countries and organizations experienced ChatGPT by asking questions on more than 70 subjects. The responses were recorded in Notepad and converted into MS Excel and MS Access to standardize and analyze the data. The investigators consulted 11 reputed databases/sources, including Web of Science and Scopus, to assess the authenticity of the data retrieved through ChatGPT.

Findings

The findings confirmed that over 90% of results produced by ChatGPT were fake (the information did not exist in the literature). Similarly, the study sheds light on the discrepancies, such as irrelevant and incomplete information in the data generated by ChatGPT.

Originality/value

This is a unique study that shares the findings based on the different regions’ researchers’ personal experiences with ChatGPT. The researchers covered different subject areas (above 70) while asking questions to ChatGPT. The paper shares implications for researchers, students, faculty members, academic/research organizations and policymakers.

ChatGPT 会生成虚假结果吗?通过 ChatGPT 检索内容的挑战
PurposeChatGPT 是当今技术时代的一项新发展。这种基于人工智能的工具可在数秒内响应个人的查询并生成所需的内容。因此,它正受到学术界、研究界和图书馆专业人员的欢迎。本研究旨在(通过与该工具的个人互动)测试 ChatGPT 生成的记录的真实性。研究的另一个目的是检查个人查询与工具结果之间的相关性。来自不同国家和组织的五位研究人员体验了 ChatGPT,就 70 多个主题提出了问题。这些回答被记录在记事本中,并转换成 MS Excel 和 MS Access,以便对数据进行标准化和分析。研究人员查阅了 11 个著名的数据库/资料来源,包括 Web of Science 和 Scopus,以评估通过 ChatGPT 所获取数据的真实性。同样,本研究还揭示了 ChatGPT 生成的数据中存在的差异,如不相关和不完整的信息。原创性/价值这是一项独特的研究,根据不同地区研究人员使用 ChatGPT 的个人经验分享了研究结果。研究人员在向 ChatGPT 提问时涵盖了不同的学科领域(超过 70 个)。本文分享了对研究人员、学生、教师、学术/研究组织和政策制定者的启示。
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
Digital Library Perspectives
Digital Library Perspectives INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.90
自引率
11.80%
发文量
26
期刊介绍: Digital Library Perspectives (DLP) is a peer-reviewed journal concerned with digital content collections. It publishes research related to the curation and web-based delivery of digital objects collected for the advancement of scholarship, teaching and learning. And which advance the digital information environment as it relates to global knowledge, communication and world memory. The journal aims to keep readers informed about current trends, initiatives, and developments. Including those in digital libraries and digital repositories, along with their standards and technologies. The editor invites contributions on the following, as well as other related topics: Digitization, Data as information, Archives and manuscripts, Digital preservation and digital archiving, Digital cultural memory initiatives, Usability studies, K-12 and higher education uses of digital collections.
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