RESEARCH PAPERS

Research on Information Quality Risk Identification and Governance of AIGC in Academic Resource Library Services

  • Jia Minghua ,
  • Cui Haiyuan ,
  • Jin Xin ,
  • Liu Yuchu ,
  • Wang Fei
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  • Peking University Library, Beijing 100871
Mo Fuchuan, Lecturer, PhD; Yang Ruixian, Professor, PhD, Doctoral Supervisor; Zhang Xiaojuan, Professor, PhD, Doctoral Supervisor; Feng Cuicui, Lecturer, PhD, Corresponding Author, E-mail: fcc@zzu.edu.cn.

Received date: 2025-02-28

  Revised date: 2025-06-17

  Online published: 2026-03-31

Supported by

This work is supported by DRAA Digital Resource Acquisition Alliance for Chinese Academic Libraries research project titled “Identification and Governance of Information Quality Risks in Academic Resource Library Services in AIGC” (Grant No. 2025DRAA16).

Abstract

[Purpose/Significance] With the wide application of AIGC technology in the academic resource field, the issue of information quality risks has become increasingly important. It is urgently necessary to construct an effective governance mechanism to improve the quality and efficiency of academic resource library services. [Result/Conclusion] This study investigated the application and development of AIGC in academic resource library services, and analyzed the manifestations and causes of information quality risks from four dimensions: content, expression, utility, and technology. Questionnaire survey method and analytic hierarchy process were adopted to determine the weight of risk indicators, and information quality risk nodes were identified by WBS-RBS. Based on the identification results of risk nodes, RBM was used to quantify and compare the risk values of each risk node, and the impact scope and severity of risks were evaluated. [Result/Conclusion] The study identifies three primary risk indicators, namely information content, information expression, and information utility, as well as 11 secondary risk indicators, including reliability, appropriateness, and timeliness. The timeliness and fairness risks are highest in the content dimension, the clarity, standardization, and interpretability risks are highest in the expression dimension, and the relevance, compliance, and security risks are highest in the utility dimension. Based on the risks and challenges at each stage, it establishes an AIGC information quality risk governance system to promote the shift of governance paradigm from “post response” to “pre prevention”.

Cite this article

Jia Minghua , Cui Haiyuan , Jin Xin , Liu Yuchu , Wang Fei . Research on Information Quality Risk Identification and Governance of AIGC in Academic Resource Library Services[J]. Library and Information Service, 2026 , 70(7) : 147 -160 . DOI: 10.13266/j.issn.0252-3116.2026.07.010

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