10 October 2026, Volume 46 Issue 10
    

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  • GUO Yajun, WANG Huisen, ZHANG Wangbo, CHEN Yanchen, MENG Xi
    LIBRARY TRIBUNE. 2026, 46(10): 1-13.
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    Smart library spaces are continuously evolving under the impetus of digital and intelligent technologies. A systematic review of global research advances in this field is of great value and significance for promoting the development of smart library spaces in China and enhancing the quality of public cultural services. Using CNKI and the Web of Science Core Collection as research databases,we screened relevant literature published between 2016 and 2026,and identified 2,724 Chinese and English papers as the study sample. The BERTopic model was employed to identify topics from the titles,abstracts,and keywords of the sample literature,and uncover the core content and association mechanisms of these topics through in-depth content analysis. The study identifies four major research themes in global library smart space services:the application of smart space technologies,the development of the smart space ecosystem,the optimization of smart space services,and the expansion of smart space value. The paper clarifies the sub-directions and core research content under each theme,providing references for future in-depth research and practical innovation in smart library spaces.
  • LI Longfei, YANG Siluo
    LIBRARY TRIBUNE. 2026, 46(10): 14-28.
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    Digital and intelligent technologies have profoundly reshaped library collection development,service provision,and social communication,these shifts place new demands on library evaluation. Traditional evaluation models,which mainly focus on resource inputs and service performance,can no longer adequately capture the differences in influence among different types of libraries in an open networked environment. According to the development context of libraries in the digital intelligence era,this study develops a three-layer,five-dimensional analytical framework,with foundational strength as the capacity base,website influence and social media influence as the communication channels,and social influence and academic influence as the outcome indicators. Following the principle of “classification-based evaluation and comparison within the same category,” it establishes differentiated indicator systems for academic libraries,public libraries,and special libraries. Using a sample of 5,289 libraries nationwide,it conducts an empirical analysis based on multi-source data,including publicly available government and industry information,institutional websites,search engines,news outlets,social media platforms,and academic databases. The findings show that China’s library influence has formed a relatively clear hierarchical structure,yet the distribution patterns vary across library types. Academic libraries exhibit a comprehensive support-oriented pattern,public libraries display a service-oriented pattern,and special libraries demonstrate a professionally embedded pattern. Library influence is a composite structure shaped jointly by resource foundations,platform capacity,communication and diffusion,social recognition,and academic support. At the regional level,library influence exhibits distinct gradient differentiation and spatial clustering. Accordingly,library influence evaluation should move from unified ranking to classification-based identification,and from single-source static measurement to multi-source dynamic monitoring.
  • CHEN Jili, XING Wenming
    LIBRARY TRIBUNE. 2026, 46(10): 29-43.
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    The openness of scientific data does not necessarily guarantee its usability. In the practice of open scientific data sharing,there has long been a tendency to “emphasize openness while downplaying use,” resulting in a rapid increase in the volume of openly available scientific data,yet with unsatisfactory rates of shared utilization. Through literature review and synthesis,this paper proposes the concept of scientific data usability,traces the evolution of its connotations,and compares its conceptual distinctions from related notions. Furthermore,we construct a tri-dimensional framework of “technology-cognition-trust” for usability,with the aim of providing both theoretical guidance and practical recommendations for enhancing the usability of openly shared scientific data,thereby facilitating the sustained and in-depth development of open science and scientific data sharing.
  • LI Jing, HAN Jiayuan, ZHANG Yang
    LIBRARY TRIBUNE. 2026, 46(10): 44-52.
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    The integrated development of education,science and technology,and talents is a core tenet of the national innovation-driven development strategy. Adopting a three-dimensional ‘subject-instrument-content’ analytical framework,this paper employs framework analysis and critical discourse analysis in a diachronic examination of 76 central policy documents issued between 1995 and 2025. The study finds that relevant policies have evolved through five phases:foundational independence,bidirectional interaction,systematic coordination,top-level design,and mechanism implementation;each phase is characterized by distinctive policy subjects,instrumental features,and systemic integration. These policies have undergone three cognitive shifts,evolving from a ‘linear orientation’ to a ‘system-oriented’ approach,and ultimately to a ‘synergy orientation’. The driving force behind the synergistic evolution of education,science and technology,and talents stems from the Party’s centralized,unified leadership and practical feedback mechanisms,among other factors. Nevertheless,current policies still exhibit problems at the textual level,such as insufficient articulation of meso-level mechanisms and structural imbalance in policy instruments. The study reveals the evolutionary mechanisms of policy coordination driven by national strategy,thereby providing a reference for optimizing the coordination system.
  • XU Fang, JIN Xiaoyan
    LIBRARY TRIBUNE. 2026, 46(10): 53-67.
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    As an interdisciplinary research method grounded in configurational thinking,Qualitative Comparative Analysis (QCA) has seen widespread application in the field of information resource management in China in recent years,demonstrating unique methodological value and significant development potential. To address academic concerns ranging from applied methodologies to fundamental reflection,this study systematically examines current QCA applications in this field in China. Through a systematic review,it analyzes 366 relevant publications indexed in the CNKI database from January 1,2017 to June 30,2025. It outlines the application landscape in terms of publication characteristics,research themes,data sources,research methods,and variable selection. The findings suggest that studies in this field have progressed in distinct phases,and face challenges such as a lag in the adoption of research methodologies,a lack of diversity in data and case sources,constraints in research strategies,and path dependence in variable selection. Accordingly,the paper proposes a development pathway to advance QCA,focusing on theoretical deepening,methodological integration,and practical standardization.
  • ZUO Haoming, MAO Yihong
    LIBRARY TRIBUNE. 2026, 46(10): 68-77.
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    As key platforms for AI literacy education,libraries can carry out relevant educational practices via AI thematic resource navigation. Focusing on 28 libraries of China’s “Double First-Class” universities,this paper employs an online survey and content analysis to systematically review the development of their AI thematic resource guides from the perspectives of structure,content,and mechanism,identifies the existing problems,and then proposes corresponding optimization strategies. Proposed optimizations include fostering cross-platform interoperability,incorporating ethics education early on,prioritizing personalized education,and strengthening collaboration and coordination,thereby transforming these resource guides into dynamic,open,decentralized,and sustainable platforms for AI education.
  • HE Yan, WANG Heng
    LIBRARY TRIBUNE. 2026, 46(10): 78-89.
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    In response to the potential transformation of library functions and the need to deepen nationwide reading,this paper proposes a pathway focused on library spaces themselves and leveraging their healing mechanism. Using questionnaire surveys,interviews,and grounded theory for empirical analysis,the study reveals the antecedent factors,three-tier healing framework,healing outcomes,and moderating factors of this mechanism. It further highlights how library spatial healing facilitates existential reading,thereby deepening nationwide reading.
  • CHEN Yi, XIANG Ni, WU Dan
    LIBRARY TRIBUNE. 2026, 46(10): 90-101.
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    This study uses a combination of online survey,field work,questionnaire survey,and semi-structured interview to identify the current problems in knowledge content generation in smart libraries. Based on Context Awareness Theory and Knowledge Conversion Theory,this study incorporates the actor element to construct a three-dimensional “actor-context-service” matching model. Thus,a multi-context service model for knowledge content generation in smart libraries is designed,comprising a context-aware layer,a contextual knowledge content generation layer and a data risk control layer. The contextual knowledge content generation layer predefined smart resource management module for librarians and smart knowledge service module for users,respectfully covering resource cataloging,resource selection,management decision contexts,and question consulting,resource retrieval,resource recommendation contexts. The multi-context service model provides guidance for shifting knowledge content generation from a “function-driven” to a “context-driven” approach,driving the high-quality development of smart libraries.
  • JIANG Tingting, HU Zhengxiong, LONG Han, KOU Yin
    LIBRARY TRIBUNE. 2026, 46(10): 102-112.
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    In the era of the experience economy,new-type reading spaces are undergoing a profound transformation from functional venues to cultural experiential fields,making it imperative to develop a systematic experience evaluation system from the user’s perspective. This paper takes Zongshuge Bookstore as a typical case,collecting 56,424 Dianping reviews from its 38 stores nationwide. Through BERTopic thematic modeling,it identifies ten factors influencing user experience,and integrates the experience economy theory to build a five-dimensional evaluation framework comprising sensory immersion,reading gain,spiritual retreat,participatory interaction,and service support. Employing fine-grained sentiment analysis and the AIPA matrix to further quantify the asymmetric effects of each factor,the study finds that:(i) sensory immersion and spiritual retreat are high-performance excitement factors and constitute the core competitive advantages of the space;(ii) reading gain is a high-performance linear factor,while participatory interaction is a low-performance linear factor,and together they shape the baseline level of user satisfaction;(iii) service support is a low-performance excitement factor and represents the critical shortfall that requires urgent improvement. Theoretically,this research achieves a framework shift from supply-side functional classification to user-centered psychological experience dimensions. Methodologically,it establishes an evaluative approach that integrates data-driven analysis with asymmetric impact analysis. The findings provide a theoretical foundation and empirical evidence for optimizing user experience and resource allocation in new-type reading spaces.
  • ZHU Hou, HUANG Yiru, ZHU Yadong
    LIBRARY TRIBUNE. 2026, 46(10): 113-123.
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    As social bots become increasingly adept at text expression,behavior simulation,and relationship camouflage,traditional detection methods that rely on single modal information are facing new challenges. To address the issue of insufficient collaborative modeling of cross-modal features in existing methods,this study proposes a multimodal collaborative verification framework that integrates textual semantics,user metadata,and social network topology features. The framework employs a dynamic masked RoBERTa encoder and a cross-attention mechanism to establish multimodal semantic associations,achieves adaptive weight adjustment through a gating network,and incorporates a multi-head graph attention network to analyze the graph topology,thereby establishing a three-dimensional collaborative verification system. The proposed method is validated through ablation experiments,parameter sensitivity analysis,and comparisons with benchmark models. Results show that the model demonstrates strong performance in accuracy and F1-score,can effectively identify the cross-modal camouflage features of social bots,and provides technical support for public opinion monitoring on social media platforms.
  • FU Aiwen, GUO Yiruo, SHAO Bo
    LIBRARY TRIBUNE. 2026, 46(10): 124-135.
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    Since the rise of the digital wave,various artificial intelligence technologies have gradually been applied in library operations and services,leading to the accumulation and intensification of AI risks that have exacerbated the disorder of library data power and eroded users' digital rights. Research on the “rights-power”binary framework in libraries will help mitigate AI risks and improve the overall quality of library services. By reviewing the concepts of data power and digital rights,as well as recent research on AI risks in libraries,this paper uses the DCC model and Maslow’s hierarchy of needs theory to define the meanings of data power and digital rights. Based on a conceptual distinction between the two and the analysis of library AI risks,it formulates clear development guidance. Drawing on the principles of empowerment and rights equalization,it designs a governance pathway for AI risks from the perspective of power and rights. Future empowerment for library AI risks will rest on the two dimensions of capability and agency,to be achieved via user empowerment,library empowerment,and social empowerment. Development with equal rights can be advanced based on three pillars,with reference to the practical models of algorithm auditing,library consortia,and data trusts,in order to promote further inquiry into library data power and users’ digital rights,as well as to support the sustainable development of libraries.
  • LI Shuai, DONG Haonan, CHEN Dingquan, GAO Yunyun
    LIBRARY TRIBUNE. 2026, 46(10): 136-144.
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    The widespread adoption of AI agents has created new opportunities for the intelligent transformation of libraries. As a representative open-source AI agent,OpenClaw,with its outstanding performance and application potential,not only empowers the upgrading of library services but also raises complex security and ethical concerns. Drawing on the technical architecture of OpenClaw,this study proposes a prospective application framework for AI agents in library scenarios. By introducing the Responsible Research and Innovation (RRI) theory,it analyzes practical challenges from the perspectives of anticipation,reflexivity,inclusion,and responsiveness. These challenges include potential system failures and privacy breaches,value conflicts and algorithmic biases,digital divides and governance lags,as well as intellectual property risks and ambiguous liability boundaries. The study argues that libraries,when adopting open-source AI agents,should reorient their governance priorities toward the upstream phases of technology introduction and innovation,establish a dual review mechanism spanning from partial to overall evaluation,foster a diverse and collaborative ecosystem for technology application,and develop a dynamic and agile governance system,so as to ensure the safe,ethical,and beneficial deployment of AI agents in library settings.
  • CONG Ting, LIU Qi
    LIBRARY TRIBUNE. 2026, 46(10): 145-160.
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    As the core actors and key hubs of the scientific ecosystem,universities play an indispensable role in advancing open science. Therefore,a practical challenge is how to enhance this role in current open science practice. Focusing on the Netherlands,a global hub for open science,this paper employs participant observation,semi-structured interviews and online surveys to analyze the role of Dutch universities in the national open science landscape,along with key operational mechanisms such as collaborative open platform development,open community and capacity building,and open research evaluation and incentives. Based on a critical review of the Dutch experience,the paper proposes targeted recommendations for Chinese universities to promote open science:strengthening the top-level design for national open science strategy and inter-university linkage mechanisms,establishing a university-led open access publishing alliance,promoting incremental reforms,and consolidating the principal role of universities and fostering a community culture. These proposals are intended to boost the development of the open science ecosystem.