AI Chatbots and Subject Cataloging: A Performance Test
محفوظ في:
| الحاوية / القاعدة: | Library Resources & Technical Services vol. 69, no. 2 (Apr 2025) |
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| المؤلف الرئيسي: | |
| مؤلفون آخرون: | |
| منشور في: |
American Library Association
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text - PDF |
| الوسوم: |
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| مستخلص: | Libraries show an increasing interest in incorporating AI tools into their workflows, particularlyeasily accessible and free-to-use chatbots. However, empirical evidence is limited regarding theeffectiveness of these tools to perform traditionally time-consuming subject cataloging tasks. In thisstudy, researchers sought to assess the performance of AI tools in performing basic subject headingand classification number assignment. Using a well-established instructional cataloging text as abasis, researchers developed and administered a test designed to evaluate the effectiveness of three chatbots (ChatGPT, Gemini, Copilot) in assigning Dewey Decimal Classification, Library of Congress Classification, and Library of Congress Subject Heading terms and numbers. The quantity and quality of errors in chatbot responses were analyzed. |
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| تدمد: | 0024-2527 2159-9610 |
| DOI: | 10.5860/lrts.69n2.8440 |
| المصدر: | Library Science Database |