{"title":"OpenAI ChatGPT generated content and similarity index: A study of selected terms from the library & information science","authors":"Deep Kumar Kirtania, S. K. Patra","doi":"10.56042/alis.v70i2.1189","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":42973,"journal":{"name":"Annals of Library and Information Studies","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Library and Information Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56042/alis.v70i2.1189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 6
Abstract
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.
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.