OpenAI ChatGPT生成的内容和相似度索引:从图书馆和信息科学中选择术语的研究

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE Annals of Library and Information Studies Pub Date : 2023-01-01 DOI:10.56042/alis.v70i2.1189
Deep Kumar Kirtania, S. K. Patra
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引用次数: 6

摘要

随着OpenAI ChatGPT的日益普及,全球各地都对其使用和滥用表示担忧。很少有人欣赏这种努力,其他人对此持怀疑态度。无论是这个工具的支持者还是反对者,没有人可以否认这个新的人工智能(AI)工具将彻底改变人类的方方面面。在此背景下,通过OpenAI ChatGPT生成的ChatGPT内容与图书馆与信息科学(LIS)学科的选定术语进行了分析。将来自LIS字段的大约10个流行术语放在Chat GPT (https://chat.openai.com/)上以生成内容。这些内容通过Turnitin软件(一个基于网络的剽窃检测服务)检查,以查看相似度的百分比。研究发现,在用抄袭工具检查内容后,这10篇文章中只有13%的内容相似。这一观察结果在学术诚信的背景下具有重要意义。这些发现可能对任何学术机构的图书馆情报学专业人员产生内容有用。
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OpenAI ChatGPT generated content and similarity index: A study of selected terms from the library & information science
With the increasing popularity of OpenAI ChatGPT there are concerns about its use and abuse from all over the globe. Few have appreciated this effort and others are skeptical about it. Whether a proponent or opponent of this tool, no one can deny the fact that this new Artificial Intelligence (AI) tool will revolutionize every aspect of human being. In this context, the ChatGPT contents generated through OpenAI ChatGPT are analyzed with the selected terminologies of Library and Information Science (LIS) discipline. About ten popular terms from the LIS field were put on Chat GPT (https://chat.openai.com/) to generate contents. Those contents were checked through Turnitin software (a web-based plagiarism detection service) to see the percentage of similarity. The study observed that, after checking the content with the plagiarism tool, only 13 percent similarity was found from these ten contents. The observation is significant in the context of academic integrity. The findings are perhaps useful for library information science professionals in any academic institution to generate contents.
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来源期刊
Annals of Library and Information Studies
Annals of Library and Information Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.60
自引率
16.70%
发文量
3
审稿时长
20 weeks
期刊介绍: Annals of Library and Information Studies is a leading quarterly journal in library and information studies publishing original papers, survey reports, reviews, short communications, and letters pertaining to library science, information science and computer applications in these fields.
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