10 June 2026, Volume 46 Issue 6
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LIBRARY TRIBUNE. 2026, 46(6): 1-18.As the final year of the 14th Five-Year Plan period,2025 witnessed Guangdong’s vigorous efforts in building its provincial public library service system,ushering the sector into a new stage of high-quality development. Based on data from the Guangdong Library Business Data Platform,a comprehensive statistical analysis of libraries at all levels shows steady progress in facility construction,stable collection sizes and workforce structure,improved standardization of grassroots services,innovative reading promotion,a consolidated central-branch library system,upgraded smart libraries （shifting toward a data element-centered service ecosystem）,expanded participation from social forces,and markedly improved regional coordination,further enhancing the cultural soft power of the Guangdong-Hong Kong-Macao Greater Bay Area. However,growth bottlenecks remain：increasingly inadequate financial support for grassroots libraries in eastern,western and northern Guangdong,shortages of acquisition funds and professional staff,imbalanced grassroots funding allocation,and inefficiency of social forces’ participation. To achieve the 2035 high-quality development goals,Guangdong’s public library community will focus on key breakthroughs,innovate mechanisms for social forces’ participation,address institutional reform challenges,strengthen grassroots networks,build a big data system for the public library sector,and deepen Greater Bay Area library integration to promote sustainable development.
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LIBRARY TRIBUNE. 2026, 46(6): 19-31.In order to grasp the development trends of public library reading services,summarize regional innovations,enhance the precision of reading promotion,and further advance the national reading campaign （“Reading for All”）,a survey on reading services of public libraries in Guangdong Province has been conducted. The report outlines the development of public library reading services in Guangdong from four aspects：public reading facilities and services,residents' use of public libraries for reading,children’s reading and family reading. The report suggests that the “Reading for All” initiative can be advanced in the following ways：strengthening the core network of grassroots libraries to channel reading services to the grassroots level;enhancing lifelong learning support and social education services to improve overall resource supply and utilization efficiency of Guangdong’s public libraries;and establishing a professional reading promotion service system to boost the circulation volume,library card registrations,and activity participation in Guangdong’s public libraries.
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LIBRARY TRIBUNE. 2026, 46(6): 32-42.Although the development and utilization of public data is in a stage of rapid growth,it is also facing numerous challenges. Quantifying expectations for public data policies can provide insight into improving subsequent policies,promoting digital development,and unlocking the social benefits of data resources. Based on grounded theory,this paper systematically analyzes policy texts to clarify the objectives and desired effects of public data policies and identify preliminary evaluation indicators. Adopting the Delphi method,the study develops an evaluation index system by inviting domain experts to assess and revise the preliminary indicators. Then,using the Analytic Hierarchy Process,it assigns weights to the indicators,and develops an index system for evaluating the anticipated outcomes of public data policies which comprises 4 dimensions：strategy,data,subjects,and safeguards. With an empirical analysis,the feasibility of the evaluation indicator system is verified and optimization suggestions are proposed.
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LIBRARY TRIBUNE. 2026, 46(6): 43-52.In the era of digital economy,data has become a core strategic resource;and its cross-border flow is fundamental to global knowledge sharing and information service networks. However,significant heterogeneity in data governance and information policies among countries has led to institutional arbitrage behaviors at the corporate level. This paper integrates institutional economics,property rights theory,and data resource management theory to develop a comprehensive analytical framework that systematically elucidates the three-stage operational logic of cross-border data institutional arbitrage："potential perception—structural design—institutional feedback". The study shows that enterprises secure excess profits while simultaneously externalizing regulatory costs,eroding the tax base,and diluting user rights,by adopting structured strategies such as selecting data regulatory havens,structuring tax regulatory havens,evading jurisdictions,and engaging in rule gaming. To address these challenges,the study proposes a global governance system centered on resilient collaboration;and advocates establishing a multifaceted and adaptable rule framework with core consensus,as well as a tripartite governance structure involving governments,enterprises,and professional social forces. The paper explores multidimensional pathways,such as deepening China’s initiatives,activating multilateral mechanisms,implementing precision governance,and empowering information resource management through key technologies,to curb systemic arbitrage and ultimately promote the establishment of a new order for global data resource management,services,and value release that is fair,secure,and sustainable.
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LIBRARY TRIBUNE. 2026, 46(6): 53-63.Data governance agencies,as a key Chinese initiative to optimize data integration,sharing,and utilization,have undergone a diffusion process consisting of two distinct phases：local,spontaneous exploration and central,top-down promotion. Analyzing the underlying diffusion mechanisms is of great significance for optimizing the establishment and operation of these agencies. This paper presents a “resources-pressures” analytical framework,and employs event history analysis,causal mediation analysis,and a piecewise constant exponential model to reveal the diffusion mechanisms of data governance agencies in municipal cities and their phase-specific differences. Throughout the development cycle,the diffusion of data governance agencies at the municipal level is driven by both resources and pressures,with pressures playing a more potent role. Furthermore,central government pressure directly affects prefecture-level cities and exerts an indirect influence through provincial-level pressure. At different stages of diffusion,the establishment of data governance agencies shifts from an early resource-driven model of “pioneering innovation in developed cities” to a later pressure-driven model of “nationwide competition under external pressure.” This shift stems from the central government’s high-level promotion,which transforms the attributes of data governance agencies from emphasizing “governance” to prioritizing “politics.”
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LIBRARY TRIBUNE. 2026, 46(6): 64-74.Policy coordination,as a critical mechanism for intergovernmental collaboration in addressing complex problems and achieving shared goals,is not only essential for enhancing policy effectiveness and building systemic synergy,but also carries important normative implications for responding to citizens' cultural rights and strengthening the legitimacy of public cultural governance. Based on 165 policy documents related to public digital cultural services issued by central,provincial,and municipal governments in China from 2002 to 2024,this study presents a three-dimensional analytical framework of ''temporal evolution-vertical interaction-instrument mix'',identifying the coordination structure of public digital cultural service policies and revealing the dynamic evolution of policy coordination and the mechanisms of multi-level governance. The findings indicate that the development of public digital cultural service policies has evolved through three stages：initiation,development and strengthening,and high-quality transformation. The focus of policy goals has shifted from developing infrastructure to optimizing services and achieving intelligent integration. Structurally,environmental and supply-oriented instruments have long been dominant;while demand-oriented instruments remain comparatively insufficient,despite an increase in their share. In terms of vertical coordination,the central,provincial,and municipal governments demonstrate a clear division of labor and collaborative logic in setting policy goals and selecting instruments. Currently,however,the policy coordination system faces challenges such as the dual imbalance of policy instruments and the risks associated with mismatches between authority and responsibility across different levels of government .
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LIBRARY TRIBUNE. 2026, 46(6): 75-90.Exploring evolutionary trends in library service quality evaluation is instrumental for identifying the core characteristics of related research,outlining the developmental trajectories of theoretical models and methodologies, optimizing evaluation systems,and supporting service innovation. Based on relevant Chinese research from the past two decades,this paper provides a comprehensive review of evaluation indicators,as well as the evolution of referenced theories,models,standards,focuses,perspectives,and methods. Thus,practical insights are extracted. The study reveals that library service quality evaluation in China is characterized by an increasing diversity of referenced theories,models,and standards;a user-centered assessment perspective;and the continuous adoption of new algorithms and technologies. Consequently,the paper proposes strategies,focusing on the iterative updating and systematic development of evaluation theories and models,an evaluation transition oriented toward smart services,assessment perspectives based on users’ multiple values,and the integration of static analysis with dynamic modeling methods.
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LIBRARY TRIBUNE. 2026, 46(6): 91-101.Developing evaluation indicators for scientific and technical literature data oriented toward AI4S （AI for Science） can promote data management and utilization,thereby unlocking the value of data. Through expert interviews and a literature review,this paper applies grounded theory to identify and summarize the data requirements for AI4S-oriented scientific literature. Based on these findings,the study proposes the ACSQ （Availability-Compliance-Semantic-Quality） comprehensive evaluation indicator system and validates the indicators using a multi-layer data resource management platform for oil and gas enrichment. The results show that the proposed indicators are reasonable,which provide guidance for data management and optimization;and serve as a valuable reference for improving the stewardship and utilization of scientific and technical literature data.
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LIBRARY TRIBUNE. 2026, 46(6): 102-114.Adopting a human-AI collaboration perspective and focusing on librarians’ practical needs,this study presents an approach to developing an AI-generated reading promotion toolkit. It also examines the key stimulating factors within the toolkit content and user satisfaction. Using local knowledge base technology and a human-guided prompt strategy,the study instructs AI to generate a toolkit for library reading promotion activities. Concurrently,a system of evaluation indicators is established based on a review of relevant literature. Through pre- and post-test questionnaires,eye-tracking experiments,and chi-square tests,the study assesses the effectiveness of the AI-generated toolkit by analyzing user evaluations of 17 toolkit indicators based on statistical data and eye movement metrics. The case study reveals that users demonstrate strong interests and high expectations regarding event themes,procedures,and promotional methods. However,subjective differences emerge in indicators such as format completeness,activity feasibility,and the validity and reliability of appended materials. Based on these findings,the paper proposes strategies to enhance the toolkit’s utility,including optimization plans,personalized services,and targeted guidance,thereby supporting librarians in conducting quality reading promotion activities.
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LIBRARY TRIBUNE. 2026, 46(6): 115-125.Authenticity is a crucial principle in the revitalization of intangible cultural heritage （ICH）. Using Jiangyong Nüshu as a case study,this paper systematically compiles relevant revitalization cases from the user-generated content platform Rednote. The study identifies the main challenges in authentic preservation during ICH revitalization and proposes optimized approaches. The investigation reveals that while alienated development is minimal in Nüshu’s revitalization,symbolic exploitation constitutes a significant proportion of it. Challenges to preserving authenticity include the superficial use of cultural symbols,the stratification of cultural transmission,and weak sustainability in revitalization efforts. To safeguard the authenticity in ICH preservation,it is necessary to optimize the current revitalization process by promoting a shift from symbolic replication to cultural expression,building a multi-level and cross-stratum dissemination system,and establishing a sustainable foundation for revitalization.
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LIBRARY TRIBUNE. 2026, 46(6): 126-135.This paper explores how fans construct meaning through information activities within a data-driven,idol-centered sociocultural context,aiming to expand the application scenarios of the everyday information practice model and provide practical insights for new forms of online governance. Employing semi-structured in-depth interviews and a three-level qualitative coding approach,the study reveals that fans' irrational information behaviors are characterized by fandom value creation,emotion-oriented horizon preferences,and contextualized strategic adjustments. Under the combined effects of individual internal motivations,community interaction shaping,social environmental norms,and value mechanism alienation,these behaviors exhibit a dynamic evolutionary mechanism of motivation-solidification-regulation and are ultimately internalized as part of daily routines. To foster a healthy and sustainable online participation ecosystem,we recommend optimizing algorithmic mechanisms,encouraging lightweight participation,and implementing interventions in critical scenarios.
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Spectrum of Addiction：Development and Empirical Study of a User Short-Video Addictive Behavior ScaleLIBRARY TRIBUNE. 2026, 46(6): 136-147.Developing a scientific short-video addiction scale can accurately measure users’ addiction levels,providing a basis for the identification,early warning,and precise intervention of addiction at different stages. Grounded in cognitive behavioral theory,this article presents an initial scale developed through a literature review and semi-structured interviews （N=34）. Based on item analysis results from the pretesting phase （N=98）,a formal questionnaire survey （N=339） was conducted;and exploratory and confirmatory factor analyses were used to rigorously examine and revise the scale structure. Accordingly,a 25-item formal scale and an 8-item brief version were established,comprising two core dimensions：addictive dependence and negative consequences. Both versions demonstrate good reliability and validity. By establishing scale norms and conducting cluster analysis,the study identifies five typical user profiles：light use,habitual use,sensitized use,compulsive use,and balanced use. These findings provide a measurement tool for the differentiated governance of short-video addiction.
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LIBRARY TRIBUNE. 2026, 46(6): 148-160.To address the core need for emotional improvement among individuals with chronic diseases in online health communities,it is necessary to examine the internal mechanisms through which sharing personal information can foster emotional improvement. This will deepen our understanding of health information exchange behaviors in digital contexts. Based on social penetration theory and the empathy-altruism hypothesis,this paper proposes a moderated mediation model. The study collects interaction data from the "Dance with Cancer" online health community via web crawlers and employs dynamic panel models for empirical analysis. The results indicate that personal information disclosure significantly and positively affects emotional improvement,with empathy serving as a mediator between the two. Additionally,the linguistic features of personal information disclosure moderate its effect on empathy elicitation：effective linguistic features facilitate a more efficient translation of personal information disclosure into empathy.
