Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/62322| metadata.dc.identifier.doi: | https://doi.org/10.56042/alis.v70i2.1189 |
| Title: | OpenAI ChatGPT generated content and similarity index: A study of selected terms from the library & information science |
| Authors: | Patra, Swapan Kumar Kirtania, Deep Kumar |
| Keywords: | ChatGPT;OpenAI;Artificial Intelligence;Similarity Index;Academic Integrity;Plagiarism;Library & Information Science |
| Issue Date: | Jul-2023 |
| Publisher: | NIScPR-CSIR, India |
| Abstract: | With the increasing popularity of OpenAI ChatGPT, there are concerns about its use and abuse. In this paper, ChatGPTgenerated contents are analysed with randomly selected terminologies related to library and information science discipline. The generated contents were checked through iThenticate, Turnitin and Urkund software to see the percentage of similarity. Only 7 percent similarity in iThenticate and Urkund and 13 percent in Turnitin was found. |
| Page(s): | 99-101 |
| ISSN: | 0975-2404 (Online); 0972-5423 (Print) |
| Appears in Collections: | ALIS Vol.70(2) [June 2023] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ALIS Vol.70(2) 99-101.pdf | 795.67 kB | Adobe PDF | View/Open |
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