10 August 2025, Volume 45 Issue 8
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LIBRARY TRIBUNE. 2025, 45(8): 1-11.In alignment with the directives of the national “15th Five-Year Plan”,the Guangdong library community used the Fifth Library Development·Lingnan Forum as a platform for in-depth discussions on the theme “Envisioning the 15th Five-Year Plan for Libraries,Proclaiming the 15th Five-Year Plan for Libraries”. The article presents the expert insights in three ways. Firstly,it summarizes the achievements of libraries during the 14th Five-Year Plan period and systematically identifies the difficulties,opportunities and priorities for development during the 15th Five-Year Plan period,focusing on two core tasks of “direct access to grassroots cultural resources” and “participation mechanisms for social forces”. Secondly,drawing on the international communication experiences during the 14th Five-Year Plan period,the article analyzes the practical value of applying for international awards,explores the critical pathways for acquiring resources,and highlights the strategic importance of the 15th Five-Year Plan in shaping the professional image of the library sector. Ultimately,the study outlines a new blueprint for library development during the 15th Five-Year Plan period.
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LIBRARY TRIBUNE. 2025, 45(8): 12-20.Data is an important production factor. The library data ecosystem,which builds on and develops the library information ecosystem,has gradually become a well-established theory to reveal the laws of library and information science. Library data can be divided into categories such as basic data collected by libraries,master data,and operational data. The key elements of a library data ecosystem include the standardized and regulated metadata system,multidimensional data model repository,accurate data analysis and the like. Those involved in library data ecosystems include librarians,publishers,database vendors,readers,and government officials. To build a good library data ecosystem,it is necessary to have compassionate,committed and proactive library directors to lead the project.
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LIBRARY TRIBUNE. 2025, 45(8): 21-31.This article constructs a framework for metadata semantic description of evidence resources in the field of evidence-based social sciences at multiple levles. The framework is divided into three layers：data layer,association layer and application layer,which respectively undertake the tasks of standardized description of evidence resources,semantic linkage construction and application support. Through a rigorous analysis of prevailing metadata description frameworks,the study develops a universally applicable metadata standards and specifications for evidence resources in accordance with the specific needs of social sciences.
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LIBRARY TRIBUNE. 2025, 45(8): 32-41.The Public Cultural Service Guarantee Law has made “promoting equality through standardization” a national law,and set standards for basic public cultural services. The public cultural service standard system,which has been continuously developed in practice,has made remarkable achievements. However,challenges remain,including incomplete local implementation standards and service catalogs,inadequate funding mechanisms,and compromised effectiveness in implementation. In the future,it is necessary to improve the implementation standards and service catalogs,strengthen the financial support,and develop mechanisms for monitoring and evaluating the implementation of the standards.
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LIBRARY TRIBUNE. 2025, 45(8): 42-51.Knowledge reconstruction in bibliographic summaries of ancient agricultural books helps to reveal the implicit relationships among the authorship,content,and location. Through a multi-dimensional knowledge reconstruction framework that includes “biographical-content-geographical” dimensions,this paper analyzes the social network relationship of authors based on CBDB,explores the textual features using BERTopic model,and recreates a geospatial pattern using GIS,thus achieving a systematic representation of the knowledge in ancient agricultural texts. It examines the bibliographic summaries of ancient agricultural books on cotton,hemp,sericulture,and mulberry in the Qing Dynasty and conducts multi-dimensional knowledge reconstruction research. The study suggests that the authors’ social network revolves around CHENG Enze and WEI Yuan;the book contents fall into nine thematic categories,covering technical methods,illustrations and captions,and stylistic narratives,which reflects the systematicity and completeness of the knowledge system of the ancient agricultural works;the authors’ native places,farming places,and places of publication differ obviously and spatially,reflecting the active role of local officials in the dissemination of agricultural knowledge.
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LIBRARY TRIBUNE. 2025, 45(8): 52-60.Ancient texts serve as vital carriers of traditional Chinese culture, so effectively revealing their content structures has significant theoretical and practical implications. Large language models (LLMs) have the technical potential to revitalize ancient literature；however, their capabilities require rigorous scientific evaluation. This paper evaluates the basic intelligent capabilities of 14 LLMs, including Doubao and DeepSeek, in processing ancient books and documents, based on classical Chinese questions from college entrance examination (Chinese language) papers between 2022 and 2024. The study examines the reliability and validity of Doubao and DeepSeek in developing knowledge graphs using the Records of the Grand Historian：Treatise on Joseon as the corpus, as both ranked high in the aforementioned evaluation. The findings suggest that current LLMs possess fundamental capability to comprehend ancient texts. Both Doubao and DeepSeek demonstrate noteworthy performance in text segmentation, logical reasoning, translation, and summarization. According to the reliability and validity test results for creating knowledge graphs for ancient texts, Doubao outperforms DeepSeek.
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LIBRARY TRIBUNE. 2025, 45(8): 61-70.Digital storytelling,as a new method for understanding digital humanities and stimulating humanistic creativity,can provide an epistemological and methodological perspective for digital humanities. This article explores the status quo of digital storytelling applied to digital humanities research from the perspectives of logical correlation and practical interaction. It aims to address how digital storytelling and digital humanities can coexist,by examining the concept of digital storytelling and its development. It is found that the logical correlation between digital storytelling and digital humanities is mainly reflected in four dimensions：educational values,subject collaboration,multiple interactivity and immersive experience;the practical interaction mainly focuses on digital humanities education,digital publishing,GLAM resource development,and data journalism creation;and the collaborative strategy involves the integration and coexistence of computational thinking and narrative thinking,the coordinated management of workshop development and project execution,and the two-way creation of interactive mechanisms and immersive experiences.
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LIBRARY TRIBUNE. 2025, 45(8): 71-85.It is necessary to activate the oral archives of urban memory at the data level,whose contents can be deconstructed,described,organized,and mined using knowledge graph technology. It not only provides materials for China’s cultural database,but also helps to build an urban memory chain. Based on the characteristics of the oral archives of urban memory,this paper creates an ontology model from the perspective of digital memory,by extracting the eight core classes of project,object,person,identity,place,time,events,and emotions. For example,in the Oral History Project of Shunde,a memory knowledge graph is developed using the Neo4j graph database,which can be used to reproduce the social landscape of Shunde on the horizon of events,trace the development of Shunde in the context of space and time,explore the spiritual traits of Shunde from the emotional dimension,and clarifiy the application value of memory knowledge graphs in the inheritance of urban memories based on empirical research.
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LIBRARY TRIBUNE. 2025, 45(8): 86-96.The systematic summary of global artificial intelligence （AI） governance studies can facilitate the development of AI governance theory and practice. Using the methods of bibliometrics,altmetrics and content analysis,this article takes the journal articles in Web of Science,CNKI and Dimensions database as the data source to develop a theoretical framework of the research themes of AI governance theory,technology governance,data governance and application scenario governance. Based on the theory of collaborative governance of multiple subjects,it creates an AI collaborative governance framework. The study proposes strategic recommendations such as strengthening the theoretical research on AI governance,improving AI technology governance regulation,enhancing AI data governance,expanding AI application scenario governance,and deepening the consensus on international cooperation.
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LIBRARY TRIBUNE. 2025, 45(8): 97-106.With the proliferation of deepfake technology,discerning misinformation based on traditional features has become increasingly difficult. This paper investigates the effectiveness of lateral reading in screening AI-generated misinformation,analyzes the relationship between specific lateral reading behaviors and accurate information authenticity,and explores the effective strategies to enhance users’ ability to quickly and accurately discern online information. By simulating realistic online information processing scenarios,it collects data on users’ search and website access behaviors using the eye-tracking technology to examine the AI-generated text. The empirical analysis reveals the significant correlations between specific lateral reading behaviors and discerning accuracy. However,structural adjustments to search queries,website categories,and search engine views are not significantly related to discerning accuracy. It shows the effectiveness of lateral reading methods in information discernment and the importance of cross-validation of information;there is the need for the development of information discernment training programs based on heuristic cognitive systems,covering the strategies such as increased awareness of verification,proactive search,multi-source verification,and click restriction.
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LIBRARY TRIBUNE. 2025, 45(8): 107-116.Facing the conflict between increasing demands and limited human resources in university novelty search centers,generative artificial intelligence（GAI）-enabled solutions have emerged as a priority. There is a need to develop a participatory framework for GAI-enhanced scientific novelty search under the guidance of novelty search staff. This article evaluates the performance of eight generative AI tools,including ERNIE Bot,MetaLLM,KIMI,ChatGLM,Qwen,iFlytek Spark,CNKI Assistant,and WOS Assistant,focusing on specific novelty search phases. The study suggests that GAI obviously improves search efficiency in terms of learning unfamiliar technical knowledge and understanding and expanding search terms;for Chinese literature retrieval,it is possible to improve novelty search efficiency through phase-specific augmentation by comprehensively using MetaLLM,KIMI,ERNIE Bot,and CNKI Assistant;with further improvement of intelligence,both CNKI Assistant and WOS Assistant show promising potential in Chinese and English literature retrieval. After repeated testing,a context-based "four-part" prompting framework is designed to effectively improve the relevance of GAI-enhanced literature retrieval.
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LIBRARY TRIBUNE. 2025, 45(8): 117-125.The quantity and quality of training data have become the key elements in the development of artificial intelligence （AI） technology. The AI distillation data technology that accompanies DeepSeek’s going viral can meet the data needs of AI development and reduce training costs,highlighting the value of algorithm innovation. However,it has generated controversy and introduced new challenges,such as software copyright risks involved in reverse engineering and unfair competition practices related to trade secret infringement,for which the risk governance mechanism urgently needs to be improved. Given the lack of a clear legal basis for countries,there is a need to adjust the existing regulatory frameworks based on normative analysis and other methods. On one hand,it is essential to adopt a systematic approach to comprehensively review external regulatory requirements. In addition to implementing data security requirements,it is necessary to mitigate the copyright risks associated with reverse engineering and clarify the boundaries of unfair competition regulation. On the other hand,it is imperative to implement the incentive compatibility theory to improve the internal compliance mechanism,strengthen the rigid restraints to make enterprises shoulder the responsibility of data governance,and promote enterprises’ active participation in risk governance by improving the positive incentive system.
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LIBRARY TRIBUNE. 2025, 45(8): 126-132.With the rapid development of large language models and advances in hardware support,the intellectualization of book acquisition,classification,and cataloging has become an emerging trend. Focusing on the Library Turing project in the Sun Yat-sen Library of Guangdong Province,this article outlines the evolution from automation to intellectualization in the process of book acquisition,classification,and cataloging. It analyzes the artificial intelligence practices in the Library Turing system and explores the basic principles,strategic approaches,core functionalities,key elements,and expected effectiveness of AI applications in book acquisition,classification,and cataloging.
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LIBRARY TRIBUNE. 2025, 45(8): 133-146.Social media has become a significant platform for self-disclosure,and the imagined audience profoundly influences users’ behavior during this process. Based on theories of the imagined audience and social information processing,this paper presents a dynamic model,collects data via a questionnaire survey,and employs structural equation modeling（SEM） to test the proposed hypotheses. The findings suggest that the editability of social media significantly and positively influences the specificity and ideality of the imagined audience. Within the social identity framework,the specificity of the imagined audience is higher. Identity and response content cues from the actual audience significantly and positively affect the ideality of the imagined audience. However,the visibility of social media negatively moderates the impact of actual audience identity cues on the ideality of the imagined audience,while positively moderating the influence of actual audience response content cues on the ideality of the imagined audience. The ideality of the imagined audience significantly and positively affects users’ audience engagement and exclusion strategies.
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LIBRARY TRIBUNE. 2025, 45(8): 147-155.As a platform for the integration and sharing of medical resources,medical consortia provide robust support for the implementation of two-way referral systems. In this context,the cross-organizational sharing of patient data is not only crucial for improving the continuity and overall quality of medical services,but also serves as an effective strategy for optimizing the allocation of medical resources and reducing the cost of healthcare for patients. Using qualitative and quantitative approaches,this paper analyzes the practice of patient data sharing in the context of two-way referrals in medical consortia. Through interviews with 13 participants in the two-way referral of the medical consortium,it identifies 27 obstacles to patient data sharing,including psychological ownership,territorial behavior,and cross-organizational dynamics. Based on questionnaire surveys and the Kano model,the study validates the identified obstacles and categorizes them into four types：must-be requirement （M）,one-dimensional requirement （O）,attractive requirement （A） and indifferent requirement （I）;and proposes the strategies to address these development barriers.
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LIBRARY TRIBUNE. 2025, 45(8): 156-160.Based on in-depth interviews with herdsman Danzeng Quzha,this study systematically analyzes his reading promotion practices in the pastoral areas of northern Tibet over the course of a decade. Danzeng Quzha’s transformation from a school dropout to an advocate for public reading campaigns illustrates the unique role individuals can play in driving cultural awakening in border areas with large ethnic minority populations. By establishing literacy classes,building Tibet’s first non-governmental free library,and innovating distance education models,he improved literacy rates and cultural engagement significantly among residents of Sog County and neighboring areas. His efforts provide valuable insights into alleviating spiritual poverty and developing culture in frontier pastoral regions.
