Using ChatGPT as a Digital/Smart Reference Robot: How May ChatGPT Impact Digital Reference Services?
Open accessAbstract
The emergence of OpenAI Chat technology can replace the human expert because this technology, using machine learning and intelligent algorithms, is able to automatically provide the best answers, which leads to increased productivity and reduced human error. In this study, we will explain to what extent ChatGPT can be used instead of digital services. We answer this question by chatting with ChatGPT.
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In academic libraries, LLMs can enhance virtual and digital reference services, automate content summarization, and support interactive learning.
“In academic libraries these models can enhance virtual and digital reference services, automate content summarization, and support interactive learning (Ikwuanusi et al., 2023;Saeidnia, 2023;Soto et al., 2024).”
From Using Agentic <scp>AI</scp> to Enhance the Quality of Academic Libraries’ Responses for Student Queries (2025) · cites this paper as Saeidnia, 2023
Cited by
Sorted by citations
Wang, N., & Chou, Y. (2025) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1518 · Cited by 4 · see citing works
- Authors
- Saeidnia, H.
- ORCID
- Saeidnia, Hamidreza
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2023
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4376851422
- Cited by
- 10
- References
- 0
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 3
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Information Systems › Web and Library Services
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- ChatGPT, virtual reference services, chatbots, reference services, conversational AI, OpenAI
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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