Generative artificial intelligence（AI）trained with data containing copyrighted works may give rise to copyright disputes. The fair use rules of Japan’s copyright law and their applicability to generative AI training data can serve as a useful reference for China in handling related disputes and improving the copyright exception system. By reviewing the history and policy considerations of the fair use rules for AI training data in Japan,this paper explores the valuable lessons from Japan’s experience. Article 30-4 and Article 47-5 of Japan’s Copyright Law,the specific rules for fair use of AI training data,establish the purpose of non-enjoyable use as the elements for determining fair use. These provisions are flexible and respond to the copyright challenges posed by the development of generative AI,but they also have limitations in terms of weakened certainty and lack of necessary disclosure requirements. China’s copyright law should formulate general provisions on fair use for data training of works used by generative AI,that is,take the purpose of non-enjoyable use as the basis for judging the fair use of works by generative AI;and impose strict restrictions on the generative behavior of generative AI outputs to prevent the scope of fair use from being overly broad.

Studying rural children's reading from the perspective of the family,a crucial reading setting,can provide public libraries with precise access points and functional approaches for delivering family reading services in rural communities. Taking rural children's family reading as its research object,this paper obtains primary data through in-depth interviews with 21 rural families,and performs a qualitative analysis based on grounded theory procedures. It identifies five characteristics of rural children's family reading：reading environment,reading content,reading orientation,reading medium and reading interaction,and presents an ECO-MI model for rural children's family reading. Based on these characteristics,the study recommends that public libraries promote the development of ubiquitous reading environments for rural children,develop high-quality family reading lists tailored to rural children,encourage and sustain self-directed reading habits,strengthen digital literacy training services,and enhance rural parents' ability to guide parent-child reading activities.

The report analyzes the drafting units,relevant authorities,and types of the standards issued at all levels in China's library sector in 2024. It identifies the characteristics of standardization efforts across provinces,and examines the themes and content of the standards. In 2024,eighteen library standards were issued and six cultural industry standard projects were approved. The key focuses of library standardization work that year included issuing the Rules for Culture and Tourism Standardization Work to guide library standardization,revising and releasing Information and Documentation - Foundation and Vocabulary to strengthen the foundation for professional practice,improving standards involving social participation,developing association standards to support the digital and intelligent transformation of libraries,and making steady progress in standardizing reading promotion services. The article concludes with a brief review of the trends and characteristics of library standardization efforts in China during the 14th Five-Year Plan period.

Using literature analysis and empirical investigation methods,this paper systematically analyzes the key elements of smart library knowledge services,based on a comprehensive review of current research and practices. The study then develops an interaction framework for these elements and identifies five primary knowledge service scenarios in smart libraries:intelligence-based decision-making,subject services,personalized services,media integration and reference services. Finally,the paper explores the difficulties and challenges within the knowledge service process and proposes solutions.

The distribution of data element revenue is complex and affects the effectiveness of developing the data element market and releasing its value. Understanding the structural characteristics and internal connections of its policy elements is of great significance for optimizing policy orientation,unleashing the potential of factors,and promoting high-quality development. Based on 170 related policy texts,this paper employs bibliometrics,content analysis and the BERTopic model to create an analytical framework from a “structure-tool” perspective,and summarize the key points of the distribution rules. The results show that the distribution of data element revenue in China is in its infancy,experiencing rapid development marked by significant regional disparities. Related policies cover multiple themes and stages,prioritizing public data and primary distribution while undervaluing non-public data and secondary distribution. There is a bias in policy tool pathways,with heavy reliance on environmental tools for indirect support. The study proposes clarifying the flow of primary distribution,improving the regulatory mechanism for secondary distribution,and balancing the roles of policy tools.

Strategic planning is a key tool for library consortia,a pivotal knowledge infrastructure in the age of digital intelligence,to integrate their resources deeply and promote their sustainable development. This paper conducts a comprehensive analysis of 203 strategic planning documents from library consortia worldwide. Specifically,it applies the BERTopic model to trace strategic priorities,compares the strategic orientations of academic and public library consortia via thematic analysis,and identifies emerging strategic directions for consortia by interpreting strategic texts from 2024 and beyond. The findings indicate that global library consortia prioritize five key areas：educational support,digital transformation,resource management,cost control and organizational governance. Academic and public library consortia differ significantly in development trajectories,user services,and member support. Future strategies will evolve through the expansion of digital dark archives,the increased use of intelligent technologies,and the rebuilding of value assessment systems.

The rapid development of generative AI presents both opportunities and challenges for libraries. Exploring generative AI strategies for libraries during the “15th Five-Year Plan” period is of great practical significance in promoting their digital and intelligent transformation. Based on a review of relevant research and practical progress,this paper analyzes the internal and external environments of generative AI applications in libraries using SWOT and key success factor analysis methods. The study proposes an “overall planning and step-by-step implementation” approach and recommends that libraries implement generative AI from the perspectives of technology deployment,resource allocation,and risk control,so as to provide a reference for formulating generative AI strategic plans in libraries during the “15th Five-Year Plan” period.

This paper uses the LDA topic model and the LIWC sentiment lexicon to examine the thematic content and sentimental tendencies in the bullet comments （danmuku） of videos related to The Classic of Mountains and Seas （ShanHaiJing） on Bilibili.com,taking into account the characteristics of commentary wording and emotional expression,so as to reveal the public's focal points and opinions during the modern transformation of classics in the digital era. The study suggests that the popularity of classical works in modern society is driven by factors such as cultural IP development,entertainment-based reconstruction,diverse content creation,and increased interactivity. However,the revitalization of classics is threatened by excessive entertainment,insufficient exploration of original works,and uneven creative quality. It is recommended to enhance the effectiveness of revitalizing classical texts by recoding the content of classics,shaping cultural IPs,optimizing the content creation system,and innovating dissemination pathways,all while managing risks and leveraging advantages.

Through literature reviews,city walks,and field surveys,this article explores current practices and future prospects for developing public cultural spaces,which are the most explicit physical manifestation of urban renewal. From a development perspective,public cultural space projects in urban renewal fall into two categories：demolition-reconstruction and comprehensive renovation. Public cultural space development is characterized primarily by adapting to local conditions,significantly increasing visibility,and shifting the focus toward enhancing the quality and efficiency of existing assets. Looking ahead,it is crucial to improve coordination between urban renewal and the public cultural service guarantee system,strengthen the urban aesthetic characteristics embodied by public cultural spaces,explore innovations under resource constraints,and unlock the humanistic and economic value of these spaces.

Amidst the profound macro-environmental changes and educational reforms,it is of great significance for university libraries to proactively formulate their 15th Five-Year Plans. Through the analysis of expert interview transcripts,academic literature,14th Five-Year Development Plans of university libraries,and national policies,this paper identifies the key points of the 15th Five-Year Strategic Planning for university libraries,focusing on value and orientation,system and governance,technology and service,resources and space,and talents and skills. The study attempts to explore the upgrading logic of university libraries in the 15th Five-Year Strategic Planning to promote their high-quality development.

In the era of intelligent media,children are becoming trapped in digital reading information cocoons. To address this phenomenon,this paper presents a model of children’s information cocoon predicament in digital reading. Based on the elements of situations,gaps,bridges,and uses from the sensemaking theory,the model was developed through contextual interviews using the micro-moment time-line interview method. The findings show that children’s “selective attention” to information during digital reading catalyzes the formation of information cocoon;and they lack the external assistance to help them bridge the gaps. Additionally,children’s sensory cognition is blocked;and their interactive experiences are limited. Thus,exploring the interrelationships among sense-making elements in children’s digital reading can help prevent information cocoons. Governance strategies include guiding children to correct their selective attention biases by enhancing their self-control capabilities,strengthening digital literacy education,and fostering critical thinking;diversifying children’s information perception channels by creating a dynamically tiered reading resource repository with integrated materials and developing scientific,intelligent and dynamic digital reading bibliographies;optimizing children’s immersive and interactive reading experiences;and improving the collaborative governance mechanisms for information cocoons.

Based on a review of the 15-year grassroots reading promotion practice of Danzeng Quzha,a young herdsman from Sog County,Nagqu,Tibet,this paper explores the pathways and performance of his efforts to encourage a love of reading among the public in educationally underserved,high-altitude pastures. Through a fieldwork and participatory observation,the study illustrates Quzha’s progression from personal awakening to establishing literacy classes and founding Tibet’s first non-governmental public library. Thus,a cultural poverty alleviation model characterized by “government guidance + civil innovation + public welfare empowerment” has emerged. His experience exemplifies the integration of traditional culture with modern education,and the synergy between offline development and online outreach,offering a replicable framework for cultural revitalization in border areas. The study concludes that grassroots reading programs must align with local cultural contexts,and foster endogenous driving forces through government-business collaboration and continuous innovation to promote cultural awareness and social progress.

On the occasion of the publication of Shen Jin's Discussion on the Version Identification of Ancient Books by renowned bibliographer Shen Jin,this article reviews his extensive practice in carrying out the version identification and collation of ancient books,as well as cultivating talent in the version identification,preservation and conservation of ancient books during his tenure as a special expert in ancient books at Sun Yat-sen University Library. The study analyzes Mr. Shen's ideas on version identification of ancient books and his outstanding contributions. Mr. Shen believes that identifying the versions of ancient books is a science that applies the knowledge of bibliography comprehensively. He also believes that the key to cultivating professionals in this field lies in ambition and passion for the cause of ancient books,first-class mentors with rich practical experience,and a rich foundation of rare ancient books and reference books.

Identifying the key factors that influence algorithmic risk and analyzing their interactions are significant for creating a scientific and reasonable governance system for algorithmic risk. This paper establishes an integrated TOE-H model by incorporating the human （H） factor into the technology-organization-environment （TOE） framework. Next,an indicator system for algorithmic risk factors is created based on a literature analysis and the Delphi method. Then,the relationships among these factors are quantitatively analyzed using the Decision Making Trial and Evaluation Laboratory （DEMATEL） and Interpretive Structural Modeling （ISM） methods to explore the factors' influence and criticality. Thus,a hierarchical structure model of the influencing factors is developed. The results show that,among the 20 factors,the most influencial ones are capital-driven decision logic,legal regulatory measures,algorithmic ethical norms,algorithmic evaluation mechanisms,overreliance on algorithmic intelligence,developer cognitive biases,and algorithm literacy levels. In the hierarchical structure model,legal regulatory measures,algorithmic ethical norms,algorithmic evaluation mechanisms,developer cognitive biases,and algorithm literacy levels are root factors,while capital-driven decision logic and overreliance on algorithmic intelligence are surface factors. Based on these findings,corresponding governance strategies are proposed.

The high-quality development of ancient book preservation holds profound significance for sustaining urban cultural heritage and enhancing cultural confidence. This paper thoroughly analyzes the “Guangzhou Practice” from a planning-led perspective,emphasizing its innovative approaches to high-quality ancient book preservation during the 14th Five-Year Plan period. The study reveals that Guangzhou developed and implemented forward-looking,actionable,and specialized protection plans that clarify the strategic objectives,key tasks,and safeguard mechanisms for preserving ancient books. These plans provide a clear roadmap for advancing the preservation of ancient books,and demonstrate that scientific planning is a vital engine for the high-quality development of local ancient book conservation. Guangzhou prioritizes institutional innovation and differentiated development from provincial-level agencies,enhancing inter-agency collaboration,resource integration,and long-term talent cultivation. This indicates that transitioning from basic rescue efforts to intrinsic quality development is essential for achieving high-quality development in local ancient book preservation.

To improve the performance and domain adaptability of artificial intelligence （AI） technologies represented by large language models （LLMs） in library reference and knowledge services,this article proposes an intelligent question-answering （QA） system that incorporates multi-path retrieval with Retrieval-Augmented Generation （RAG） technology. The study presents a large-scale,high-quality dynamic knowledge base by deeply integrating OPAC bibliographic data with abstract information from public query portals and other multi-source data. Furthermore,it develops an efficient,professional QA framework that integrates multi-path retrieval with prompt learning techniques to enhance the accuracy of domain knowledge retrieval and the quality of answer generation. Experimental results demonstrate that the proposed system enhances QA accuracy by 21% compared to traditional methods and general-purpose large models,and increases ROUGE-1 scores by 35%,effectively validating its superior performance and adaptability in the field of library knowledge services.

A paradigm shift in knowledge production,driven by digital and intelligent technologies,is profoundly restructuring the academic labor market. This article focuses on the localized development of alternative academic careers （Alt-ac） in the field of Information Resources Management （IRM） in mainland China. Alt-ac positions require doctoral education and academic training,but they do not strictly adhere to traditional academic norms and values. Using social network analysis and deep learning methods,this study systematically examines the characteristics and developmental mechanisms of Alt-ac careers by developing a database of 8,035 job postings. The results show that：（1） Alt-ac development exhibits a bottom-up trajectory comprising three phases：initial emergence （2010-2016）,scale expansion （2017-2020）,and diversified consolidation （2021-present）;（2） institutions holding Alt-ac positions have shifted from primarily academic libraries to diverse sectors,including government agencies and industries;（3） a typological framework for Alt-ac is proposed based on organizational role,cultivation pathways,functional attributes,and business orientation;and （4） key drivers of Alt-ac development include shifts in knowledge paradigms,digitally oriented policy environments,and structural dynamics in talent supply and demand. This study provides empirical insights for doctoral education reform and the development of emerging academic careers within the discipline.

As a prominent work of Chinese literature,Du Fu's poetry is highly revered overseas,and has inspired numerous foreign editions,exemplifying the global dissemination of Chinese classics. This paper examines the text selection,textual reconstruction,and publication characteristics of Northeast Asian editions of Du Fu's poetry in the Harvard-Yenching Library. The study explores the contemporary implications of their reception overseas in promoting excellent Chinese culture internationally,so as to shed light on the propagation of Chinese classics in the new era. The Korean Peninsula primarily embraces Du Fu's regulated verse anthologies,published through official and commercial imprints,and adapted through methods such as rhyme categorization,thematic classification and annotated commentary. In Japan,privately printed editions of Du Fu's regulated verses are central,reshaped through the use of xundu symbols,aotou and lecture-style notes. Through textual adaptability,localized recontextualization,and support from local publishing forces,Du Fu's poetry achieves creative transformation and innovative development abroad. In the new era,Chinese classic texts should adopt a tiered textual dissemination strategy,implement localized textual reconstruction,and expand communication channels to promote the global dissemination and influence of excellent Chinese culture.

Through a large-scale literature analysis,this paper explores the application scenarios and transformation paths of traditional library services empowered by generative artificial intelligence （GAI）. The study uses systematic review and meta-analysis （PRISMA） methods to identify relevant literature. Based on the core literature,it analyzes the key elements necessary to empower traditional library services with GAI. Three typical scenarios were identified：intelligent upgrading,intelligent transformation,and intelligent innovation. Accordingly,the study outlines the essential conditions for effectively deploying GAI in traditional library services and discusses strategies for risk prevention.

How to train high-level,application-oriented professionals in the emerging field of ancient book and documentary heritage preservation is a significant topic that responds to the needs of a new era and the national goal of building a country with great strength in education. This paper analyzes 32 master's programs abroad using a case study method. By establishing an analytical framework around five core elements - admission standards,training objectives,practical teaching,academic assessment,and program operation - the study reveals a distinct,profession-oriented training path. Admission standards focus on a comprehensive evaluation of candidates' academic backgrounds,practical experience,and professional interests in order to select individuals with high potential. Training objectives center on knowledge application and career development to provide clear direction. Practical teaching is built on a progressive system,advancing from handling original artifacts to on-site practice and off-campus internships. Academic assessments align with national statutory qualifications or industry certifications to facilitate a seamless professional transition. In terms of program operation,the sustainability of this costly training model is secured through "educational communities" established jointly by universities and cultural heritage institutions. These five interconnected elements comprehensively address the two core questions in this field：how to cultivate high-level,application-oriented talent for the preservation of ancient books and documentary heritage,and how to ensure that these professionals can smoothly enter and work in relevant occupations.

In the era of artificial intelligence （AI）,advancements in AI technologies have accentuated the "black box" mechanism,posing a significant challenge to user trust and information adoption. This paper systematically examines how the explainability and traceability of AI influence users' adoption of information and analyzes the moderating role of AI literacy. Through a series of experiments,the study demonstrates that explainability and traceability positively impact information adoption,and that providing explanations and traceability significantly enhances user trust in AI. Furthermore,AI literacy positively influences the effectiveness of user information adoption by serving as a critical moderator.

This paper examines the behavior patterns of users engaged in social corrections of misinformation,using false information,as well as the corresponding retweets and comments,collected from the Weibo platform. Through the process of "manual annotation + LLM assistance + manual verification",the study labels comments as either socially corrected or non-socially corrected;compares the time differences between the two types of comments;and characterizes their textual content. The findings indicate that the two types of comments exhibit distinct periodic activity patterns and significant differences in time intervals from original postings. On average,socially corrected comments are posted 10-11 hours later than non-socially corrected comments. Socially corrected comments fall into three categories：direct corrections （e.g.,direct refutations）;explanatory corrections （e.g.,questioning posts,rebuttals,and truth statements）;and interactive corrections （e.g.,interactive responses and discouragement to bloggers）. Linguistically,user strategies for persuasive enhancement include credible content,detailed descriptions,and rational analysis. Users also express negative emotions through comment correction. The paper presents a model of user engagement in social misinformation correction and its behavioral pattern："Exposure：identifying misinformation → Response：posting direct/explanatory/interactive socially-corrective comments → Strategy：enhancing the persuasiveness of comments → Emotion：primarily generating negative emotions."

With the development of AIGC large language models,prompt literacy has become an important part of literacy skills. This paper,grounded in academic libraries,analyzes the significance of prompt literacy education by clarifying its conceptual definition and the expansion of related information literacy skills. It proposes a framework model of prompt literacy consisting of prompt awareness,prompt knowledge,prompt competency,and prompt ethics. The study suggests the countermeasures in terms of preparing work plans or guidelines,establishing specialized teaching teams,developing special educational resources,compiling technical manuals for prompt writing and prompt corpus,and paying attention to prompt ethics.

Data elements are essential to developing new quality productive forces. This article analyzes the underlying logic of how data elements empower new quality productive forces,grounded in their intrinsic unity. Then,it presents a model framework for data elements that empower new quality productive forces,with a practical focus on implementation mechanisms. When integrated with other elements such as labor,capital and technology,data elements play a crucial supporting role in empowerment through eight mechanisms,thereby promoting better formation and development of new quality productive forces.

By clarifying the connotations and characteristics of immersive public cultural services and defining the research object,this paper provides a systematic review of relevant domestic and international studies on the elements that constitute such services. Six core elements are identified：immersive experience subjects,immersive devices,immersive technologies,immersive experience spaces,immersive experience content,and immersive experience scenarios. The study also summarizes their sub-dimensions and characteristics. Focusing on the roles of these elements within the service system and their interrelationships,the paper establishes a hierarchical service framework comprising the support and guarantee layer,the experience development layer,and the service implementation layer. After exploring the application of this framework in practical settings,the study proposes recommendations based on influence mechanisms across different levels of immersion.

Through a questionnaire survey,this paper examines the current AI literacy of Chinese citizens,focusing on awareness,thinking competencies,skills,and ethics. The results show that Chinese citizens have a relatively high level of AI awareness in terms of cognitive understanding,but there is still room for improvement in risk perception and ethical consciousness. In the light of thinking competencies,they have a high level of innovative thinking,but some deficiencies in computational and critical thinking. Regarding to skills,participants demonstrate solid technical proficiency,but insufficiencies in AI application and product development. Ethically,although norms of social responsibility are well established,there is a need for greater vigilance in privacy and information security. The study proposes to,institutionally,forge a security shield by strengthening policy coordination and legal regulation,and optimizing educational planning;organizationally,improve AI training systems through resource integration and curriculum reform;culturally,cultivate an appropriate AI philosophy and develop an ethics-first culture;individually,deepen the cognitive ability of technology and strengthen computational thinking and technical skills;technically,lead the regulated development of AI by enhancing system security and technical understanding.

The fourth plenary session of the 20th Central Committee of the Communist Party of China （CPC） drew a new blueprint for advancing Chinese modernization during the "15th Five-Year Plan" period,and made important arrangements for cultural development and national security. Public cultural services bridge cultural development and security,enabling complementary and mutually reinforcing progress in the context of high-quality development. Currently,national cultural security faces risks such as cultural erosion amid globalization,cultural clashes in diverse practices,and cultural disorder during digital transformation. Mitigating these risks is a key task in developing public cultural services during the 15th Five-Year Plan period. National cultural security and public cultural services are integral to the process of Chinese modernization. Public cultural services must incorporate the objectives and enrich the elements of national cultural security to achieve an interactive mechanism characterized by functional alignment and shared-source empowerment. During the 15th Five-Year Plan period,it is necessary to take multiple measures,such as putting down deep roots in practice,achieving international development,and accelerating digital upgrading,to elevate the subjectivity of Chinese culture through distinctive public cultural services,tell stories of China in the new era with quality cultural products,and set the tone for digital life with digital public cultural services. Thus,a solid national security shield will be forged for Chinese culture.

As the library sector diversifies its talent recruitment,a growing number of individuals without formal library and information science training are entering the field and becoming an important part of the librarian workforce. Due to their lack of systematic education in library and information science,these librarians often face more complex challenges when developing their professional identities. This paper focuses on the identity construction of non-professional librarians in the context of "career transition",and presents a conceptual model based on in-depth interviews with 30 non-professional librarians and grounded theory. The study indicates that their identity crisis stems from a disruption in professional cognitive continuity - a significant gap exists between their anticipated identity before transitioning and their actual perception after employment. This deepening confusion about their values exacerbates their disorientation and unease regarding their professional identity,thereby triggering identity deconstruction. However,with self-directed practices and support from the external environment,non-professional librarians can gradually overcome their identity crises. They can then redefine their professional identities,and achieve value identification,professional competence,role anchoring and meaning construction in their occupational practices. This marks the completion of identity construction,as individuals transition from "marginalization" to "subjectivity",forming a professional identity that is critical and adaptive.

Examining how public libraries took root and flourished in China's rural areas sheds light on cultivating a thriving socialist culture,revitalizing rural culture,and developing rural public libraries. Through fieldwork and historical research,this paper systematically reviews relevant publications,archives,and statistical materials. Qiluo Library progressed through four phases:introduction,small fires,rebirth,and thriving,which offers key lessons such as co-governance by the Party and village committees,stewardship by rural elites,participatory construction by residents,service-oriented programming,governmental assistance,professionalization,and support from multiple forces. To advance rural public librarianship,it is necessary to develop rural public libraries based on the separation of ownership and management rights to ensure quality literature resources reach the primary level;promote endogenous growth by adhering to the people-centered development philosophy;and stimulate the positive role of diverse stakeholders by emphasizing the nonprofit nature of rural public libraries. As cultural landmarks,primary literacy centers,archival repositories,and curators of local cultural heritage,rural public libraries enhance community cohesion,and retain memories and nostalgia for those who have left their hometowns,thus building up China's cultural strength,and advancing the revitalization of rural culture.

This paper examines the development of small reading spaces in urban public libraries;explores the ideal and actual paths of these spaces from the perspectives of policy context,overall development,and typical individual growth;and analyzes the two-way empowerment between the ideal and the actual. These spaces can evolve through the rational use of AI technology to create fully-intelligent,future-oriented reading spaces;the implementation of hybrid assessments that integrate performance and effectiveness to strengthen refined management;and the accurate positioning of reading spaces to enhance users' sense of fulfillment and happiness.

The report tracks the drafting units and relevant authorities responsible for library standardization in 2023,as well as the types and properties of standards. It outlines standardization characteristics across provinces and analyzes the standard themes and content. In 2023,China officially issued 30 library-related standards,marking significant progress in library standardization. Notable achievements include the release and implementation of updated Public Library Service Standards;advancement of standardization in urban studies and rural libraries;progress in standardizing reading promotion services;and acceleration of international alignment in library standardization.

This paper presents a three-dimensional analytical framework of “national strategic demands-industry demands-student demands”. Methodologically,it examines these three types of demands using topic modeling （to extract themes from policy texts）,relation extraction （to identify “task-skill” relationships in job descriptions from online recruitment platforms）,and questionnaire surveys,aiming to systematically explore the pathways for curriculum content reform in the context of GAI from a multi-demand-driven perspective. Taking the core undergraduate course “Information Analytics” as an example,the study proposes a three-tiered progressive curriculum system consisting of “basic skills teaching-GAI technology teaching-ability transfer through practical training in real business scenarios”. While retaining existing curriculum content,the system incorporates fundamental GAI theories and technologies,data governance,AI ethical review techniques,and business scenario-specific technologies,with AI ethical norms integrated into all content modules.

Generative Artificial Intelligence is revolutionizing the way people learn,live and work,making AI literacy critical to harnessing technological innovation and adapting to the evolving labor market. The United Kingdom has rapidly integrated GenAI into education,establishing a diverse and comprehensive policy framework that emphasizes responsible use. It is instructive for the cultivation of AI talent and the reform of education and teaching to examine the practice of promoting AI literacy education in UK colleges and universities. By collecting the information on GenAI-related policies and activities published by the Russell Group through an online survey,this study develops a framework for AI literacy education in UK universities. The findings show that the AI literacy education in UK universities focuses on AI cognition,AI application,AI thinking,and AI ethics;targets the students and faculty to enhance their interactive skills with AI in learning,research and teaching scenarios;optimizes the educational environment through ethical norms and educational assessment,and ensures its effective implementation by fostering the collaboration with multiple stakeholders.

In the field of foreign library and information science （LIS）,impostor syndrome has attracted widespread attention as an emerging occupational mental health problem. Using the method of literature analysis,this article systematically examines the research on impostor syndrome in the field of overseas LIS from the dimensions of representation,influencing factors and countermeasures. Characterized by workaholism,procrastination,hiding the true self,attribution bias,deceptive illusion,impostor syndrome in foreign LIS field is influenced by factors such as complex and varied work content,sacred and lofty career orientation,stressful and depressing industry environment,unbalanced and weak training methods. Individuals can take measures,including recognition,self-reflection,setting reasonable goals and actions,communication and discussion,to alleviate the problem of impostor syndrome. Organizations should clarify employee responsibilities and build an inclusive and supportive culture and system to help employees mitigate the problem of impostor syndrome. In order to overcome the limitations of existing research,scholars should enrich the research objects and flexibly apply multiple research methods.

Modern scientific research is increasingly characterized by interdisciplinary collaboration. In emerging interdisciplinary fields,it is urgent to clarify the components and development model of cross-disciplinary academic communities to promote interdisciplinary communication and cooperation. This paper analyzes the constituents of the digital humanities （DH） academic community;examines China’s digital humanities research based on the "Invisible College" model,in terms of disciplinary specialties,social actors,and information usage environments;and explores an ideal developmental paradigm for interdisciplinary academic communities. The results show that the DH academic community is multidisciplinary;its core scholars are highly interdisciplinary;and digital humanities centers play a pivotal role in facilitating communication and cooperation within the community. The study suggests that the "Invisible College" model can advance interdisciplinary academic communities and emerging disciplines more effectively.

Data elements are crucial resources that drive the growth of the digital economy. The credibility and circulation of data are essential for promoting data sharing,enhancing data value,and advancing the development of digital economy. This paper,from the perspective of digital trust,systematically analyzes the trust foundation and intrinsic logic of trusted data element flow,and proposes a relevant digital trust-based framework. The study shows that digital trust is a key feature of data entities,data resources,and the process of data circulation; therefore,the circulation of trusted data elements should focus on establishing,verifying,and maintaining digital trust. Based on a decentralized digital identity system,an open data element market,and a robust data supervision system,the framework establishes the identity foundation,resource system,and environmental safeguards for digital trust through blockchain,trusted data space,data trust and other technologies,and addresses the critical issues in the circulation of data elements,including identity verification,resource quality,and environmental protection. The findings provide valuable insights for breaking down trust barriers in the data element market and accelerating the release of data element value.

Cultivating children’s reading habits from an early age is a vital mission for public libraries. The child-friendly concept and philosophy of children’s services in public libraries are based on the shared ideology of safeguarding children’s rights. These shared values and complementary practices have given rise to the innovative concept of the child-friendly library. Using a three-dimensional analytical framework of “policy tools--child-friendly library elements--policy participants”,this paper examines institutional manifestations of policies related to child-friendly libraries. Through a review of representative cases at home and abroad,the study analyzes innovative practices in various contexts,as well as the practical challenges of developing child-friendly libraries with regard to service accessibility,quality,quantity,and responsiveness to children’s needs. The study proposes that municipal libraries serve as central hubs guided by the child-friendly library concept to improve the quality and efficiency of public library services for children in metropolitan areas.

In recent years,China has preliminarily established a diversified public cultural supply system led by the government and supported by active participation from society and the public. The integration of various types of resources—including basic public cultural services,inclusive non-basic public cultural services,and market-based cultural services—has accelerated. Transmission channels for public cultural resources that are spatially accessible,available online and servable,have continuously expanded,steadily enhancing the capacity to deliver targeted resources to grassroots communities. However,challenges remain,including insufficient coordination among service providers,unclear delineation of responsibilities,an inadequate and structurally imbalanced supply of high-quality public cultural resources,insufficient channels for allocating resources to the community level,low supply-demand matching,and limited primary-level capacity to receive and utilize these resources. Thus,it is imperative to establish a comprehensive operational system for public cultural services,as well as long-term,multidimensional guarantee mechanisms that cover the entire supply,transmission,reception,and feedback chain. Priorities include developing a supply-demand matching mechanism for precise resource allocation,improving the government guarantee mechanism with institutional support,strengthening the social participation mechanism to enhance service momentum,optimizing the resource integration mechanism to boost allocation efficiency,implementing the resource distribution mechanism to facilitate grassroots access,and improving the talent development mechanism to build grassroots capacity.

In the era of digital intelligence,digitizing ancient books has become an important means of promoting the activation of traditional classical knowledge and the innovation of humanistic research paradigms. As comprehensive repositories of ancient Chinese knowledge,LeiShu （encyclopedias in ancient China） face challenges in digitization due to the heterogeneity of their knowledge systems,caused by differences in text storage,retrieval techniques,and compilation styles. Reconstructing the knowledge organization systems of these encyclopedias based on specific ontologies and developing unified semantic models can enable cross-encyclopedia knowledge aggregation,intelligent compilation and restoration. Using the Yongle Encyclopedia,Pianzhi,and Complete Records of All Flowers as datasets,this paper presents a LeiShu ontology comprising 101 classes,93 object properties,and 44 data properties. Core classes include "Leishu" “Compilation Style” and "Content Structure". A four-tier conceptual mapping mechanism was developed to standardize directory hierarchies across different encyclopedias. Based on the thematic categories of “Heaven,Earth,Humans,Affairs,and Objects,” content from different encyclopedias was aggregated to form an interconnected knowledge network. By integrating diverse and heterogeneous knowledge systems from the encyclopedias through the ontology,the study establishes a semantic association network spanning eras and themes,thus effectively addressing challenges such as the difficult alignment of knowledge units and weak theme associations. This approach provides a technical solution for discovering and reconstructing lost content,and offers insights into the intelligent preservation of ancient books and the innovative utilization of cultural heritage.

This paper explores the configurational pathways leading to algorithmic avoidance behavior among users of intelligent recommendation systems,with the aim of facilitating effective user-technology collaboration and providing support for the development of related enterprises. Based on information ecology theory,this study presents a research model focusing on information,users,technology,and environment. Using fuzzy-set qualitative comparative analysis （fsQCA）,the study examines the combined effects of multiple factors on the emergence of algorithmic avoidance behavior. The findings reveal four distinct configurational pathways that can be categorized into two types：configurations jointly driven by user perceptions and external factors,and configurations primarily driven by external factors. Algorithmic avoidance behavior among users of intelligent recommendation systems is a combined result of information,users,technology,and environment. Negative user perceptions,such as algorithmic anxiety and a sense of manipulation,are key internal drivers of algorithmic avoidance behavior. Meanwhile,external factors,including recommendation homogeneity and information quality,significantly influence this behavior among promotion-focused users.