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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Under the new paradigm of systematic conservation of cultural heritage,documentary heritage is no longer merely supplementary to other forms of cultural heritage. There is an urgent need to re-examine its protection and utilization,as well as its foundational value within the framework of systematic cultural heritage conservation. The development of national cultural parks serves as a key arena for implementing systematic conservation,providing a crucial institutional context for rethinking the functional boundaries and value structure of documentary heritage.Grounded in this paradigm,this paper examines the practice of building the Great Wall National Cultural Park. Drawing on multi-source textual materials collected through online research and fieldwork,it employs textual content analysis to define the specific conceptual connotations of the Great Wall-related documents as an independent category of cultural heritage. The study further identifies 13 roles and 39 functions that this heritage assumes across the Park’s four primary functional zones. On this basis,it establishes a value cognition system for Great Wall documentary heritage structured around "target zoning,multiple roles,and functional adaptation". It also reveals the internal logic underlying the transformation of Great Wall documentary heritage from an auxiliary resource to a foundational element for both the holistic development of national cultural parks and the systematic conservation of cultural heritage,thereby addressing the emerging practical needs of this paradigm.

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.

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."

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.

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 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.

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.

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.

As prompts become the primary interface for human-generative AI interaction,the importance of prompt ethics as an emerging ethical issue in AI increases. However,prompt ethics is not merely an extension of traditional upstream ethics concerning data,algorithms,and computing power,nor is it an extension of downstream platform ethics. Instead,it serves as a midstream hub that connects these two domains,dynamically triggering and posing risks. This paper presents a two-dimensional analytical framework based on user intention and risk sources. The framework reveals two types of prompt-related ethical risks. One type involves security risks caused by malicious prompts that exploit model vulnerabilities or abuse its capabilities （e.g. prompt injection,jailbreaking,and manipulation）. The other type encompasses more universal risks inadvertently triggered by vast numbers of ordinary users during routine interactions （e.g. bias entrenchment and unintentional privacy leaks）. Addressing this complex risk landscape requires an integrated governance system encompassing technical safeguards represented by input filtering and adversarial training;organizational regulations centered on the formulation of standardized operating procedures and ethical guidelines;and societal collaboration involving legal frameworks,public prompt literacy enhancement,and platform governance. The goal of prompt ethics governance is not to limit technology,but to ensure the safe,fair,and effective release of generative AI's social value.

Focusing on AI-generated picture books,this paper employs a mixed experimental design and eye-tracking technology to explore the influence mechanism of three factors—prompt style,visual style,and color tone—on the reading experience of preschool children. A three-factor （2×2×2） experimental design was adopted,and multidimensional analyses were conducted through eye-tracking experiments and interviews. The results show that warm-toned picture books offer a better reading experience than cool-toned ones; and that image-descriptive prompts are more effective than story-descriptive ones. There is an interaction effect between visual style and prompt style. Story-descriptive prompts in a crayon-drawing style enhance the experience by providing more details （namely,detail compensation）,whereas image-descriptive prompts minimize differences in visual style. Eye-tracking data indicate that children pay more attention to character-related areas of interest than text-only ones,demonstrating an image-prioritized cognitive characteristic. Based on these findings,the study proposes strategies for generating AI picture books across five dimensions.

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.

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.

Identifying named entities in classical texts—the vital repository of Chinese civilization—holds great significance for advancing digital humanities,digitizing ancient manuscripts,and building knowledge graphs of ancient books. To address challenges in model architecture and transfer learning capability for named entity recognition （NER） in classical texts,this paper proposes AT-LSFT：a novel framework based on the collaboration of large and small models,as well as system fine-tuning strategies. Specifically,the large language model,LLaMA3-8B,provides semantic guidance and entity pre-localization,while the smaller BiLSTM-CRF model handles feature decoupling and fine-grained entity recognition. Through three phases of system fine-tuning involving prompt engineering,knowledge distillation,and dynamic feedback,the two models effectively balance semantic comprehension and reasoning efficiency. Extensive experiments on 19 baseline models,including traditional,deep learning-based,pre-trained,and large language models,show that AT-LSFT achieves superior performance with an F1 score of 84.8%. The framework consistently outperforms existing mainstream methods in recognizing various types of classical text entities,such as persons,locations,official titles,and organizations,demonstrating stronger semantic parsing capabilities and generalization performance. It also excels at recognizing low-frequency entities and resolving semantically ambiguous samples.

It is of great importance to analyze the formation logic and influencing factors of college students,the primary user base of AIGC,so as to improve the quality of information security education in colleges and universities and promote the development of AIGC. Using the grounded theory method,this paper conducts semi-structured interviews with 20 college students to obtain primary data. Through a three-level coding process,it identifies the conceptual categories and the logical relationships between them by conducting a comparative analysis of the differences in information security awareness between users when using traditional search engines and AIGC. Thus,the study develops a theoretical model of information security awareness in college students' use of AIGC. The results show that the information security awareness of college students using AIGC stems from their information value perception and perceived information security experience,which are embodied in attitudes and behaviors,and influenced by education,ideology,systems,and technologies. Compared with traditional search engines,the information security awareness of college students using AIGC has changed significantly in terms of information security perception,user attitude,and user behavior. In order to improve the information security awareness of college students using AIGC,it is essential to enhance their information value perception and improve their usage experience.

Adopting a combined approach of literature review and case analysis,this paper explores the intrinsic logic and cultural mechanisms of digital humanities within the context of academic paradigm shifts,focusing on the phenomenon of "ubiquitous digital humanities". Through the theoretical lens of "paradigm revolution",the study presents a conceptual framework for digital humanities encompassing seven dimensions：computation,association,visualization,resources,critique,collaboration,and sharing. Using case studies such as Digital Dunhuang,Imperiia,To See the Tree and the Forest,and Wu Yu Dian,the paper analyzes the practical logic of digital humanities in terms of platform collaboration,knowledge representation,and cultural dissemination. In the era of AGI,the paper argues that digital humanities are becoming increasingly embedded in the knowledge system as a form of "cultural gene",bridging tradition and the future. The study concludes by emphasizing that the future value of digital humanities lies not only in technological integration,but also in its role in fostering new forms of humanistic knowledge characterized by openness,criticality,and generativity. Thus,digital humanities become a key driver for advancing the humanities.

Exploring college students’ willingness to use AIGC tools for health information searches and the factors influencing this behavior is conducive to promoting the application of AIGC technology in health information services. A total of 24 college students were recruited through purposive sampling for semi-structured,in-depth interviews to understand their experiences and attitudes toward using AIGC tools for health information searches. The interview data were coded using a combined approach of grounded theory and content analysis. Based on SOR theory,a model of influence factors on the willingness to seek health information using AIGC tools was developed. The study suggests that college students hold a relatively positive intention to use AIGC tools to search for health information. The results reveal the pathways and mechanisms through which external （e.g.,AIGC tools and environmental features） and internal （e.g.,users） stimuli influence willingness via cognitive and emotional mediators. The study offers recommendations for enhancing health information literacy,optimizing AIGC tools,and improving health information services.

In the era of digital intelligence,human-intelligence collaboration has become a significant trend in library development,offering a new perspective on librarian professional identity research. STARA awareness reflects employees’ perceptions of the influence of smart technology,artificial intelligence,robotics,and algorithms on their future career development. This awareness helps librarians confront role transformation and advance human-intelligence collaboration within the library sector. Using a mixed-methods approach combining quantitative and qualitative analyses,we obtained 182 valid responses from librarians via a questionnaire survey;conducted semi-structured,in-depth interviews with 25 participants;and performed data coding and analysis based on grounded theory. The study presents a model examining the formation of STARA awareness and its impact on librarian professional identity. The model comprises seven core dimensions：STARA technological attributes,librarians’ use of STARA technologies,STARA applications,perceived impacts of STARA technologies,STARA awareness,librarians’ basic characteristics,and professional transformation and development. The findings demonstrate that the formation of STARA awareness is a long-term,multidimensional process. Current STARA awareness is characterized by the coexistence of opportunities and threats. Furthermore,STARA awareness positively reinforces and transformatively reconstructs librarians’ professional identities.

To address the challenges faced by traditional methods in developing large-scale knowledge graphs for ancient texts,such as reliance on manual annotation,limited semantic parsing capabilities,and low processing efficiency,this study integrates large language models with AI Agent technology to propose an automated knowledge graph generation framework for ancient books. Based on AI agents capable of autonomous planning,memory,and acting,the framework presents a core workflow comprising content parsing,knowledge extraction,data cleaning and transformation,knowledge mapping and visualization. An empirical study using the entry “Zhong” （loyalty） in volume 481 of the Yongle Encyclopedia successfully achieved the end-to-end automatic conversion from unstructured text to structured knowledge graphs. The results show that this method significantly improves the efficiency and accuracy of ancient book knowledge processing,enables natural language interaction and dynamic adjustment of user-defined triples,and provides a feasible technical pathway for the efficient and automated development of ancient book knowledge graphs.This study not only provides a scalable solution for the digital preservation of the Yongle Encyclopedia,but also proposes an agent-driven paradigm and a hierarchical prompt engineering system with strong transferability,which can significantly reduce the cost of knowledge graph development across various fields and promote the transformation of digital humanities research towards dynamic cognitive systems.

This paper presents a metacognition-guided agent that covers the entire individual cognitive process based on metacognitive theory,and explores its impact on trust calibration and the enhancement of metacognitive levels in human-AI interactions. Through a literature review,the study identifies the functional characteristics and influence mechanisms of metacognition-guided agents,and proposes a prototype system using multi-intelligent technology. A quasi-experiment was conducted in which participants were randomly assigned to a metacognitive agent-guided group or a non-guided control group;and both groups completed information search and scheme generation tasks. Data were collected via questionnaires and operational video coding. A comparative analysis was conducted to identify differences in self-reported trust,behavioral index trust,excessive trust and metacognitive levels between the two groups. By generating prompts,metacognition-guided agents direct individuals to engage in metacognitive activities,and encourage them to ask more questions and think for a longer period of time,thus improving trust attitude and system quality simultaneously. This prevents blind trust while enhancing the level of trust. To improve the effectiveness of these agents in providing metacognitive guidance,appropriate educational methods must be explored and long-term,systematic education must be introduced to develop users ' metacognitive abilities.

With the application of artificial intelligence （AI） in the library sector,AI virtual librarians have become a focus for public libraries exploring intelligent service transformation. Based on a survey of public libraries in China’s 31 provinces and 333 cities,this study indicates that 155 of them have deployed a total of 170 AI virtual librarians. This paper outlines the characteristics of AI virtual librarians in terms of deployment,virtual image,interaction methods,and technical support;and examines their cultural expression,image design,service accessibility,and technological governance. The study recommends integrating virtual librarians more closely with local cultures and library collections,promoting diverse and professional visual designs,improving accessibility,and enhancing technological transparency and ethical controllability to promote the high-quality development of smart library services.

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.

This paper proposes a collaborative framework driven by retrieval-augmented generation （RAG） to enhance the performance of large language models （LLMs） on multilingual aspect-based sentiment analysis （MABSA） tasks. First,the framework trains task-specific models on multilingual datasets to generate a dynamic multilingual knowledge base. Then,guided by RAG principles,the framework screens the knowledge base to identify the most relevant knowledge fragments for the current inputs;and introduces a chain-of-thought （CoT） mechanism to optimize reasoning pathways. This ultimately achieves collaborative inference between LLMs and task-specific models at the knowledge level,providing an interpretable solution for the task. Experimental results demonstrate that RAG-enhanced LLMs significantly outperform traditional LLMs on MABSA tasks,validating the effectiveness of this approach.

Understanding the key factors of technological leaps is essential for innovators seeking to capitalize on emerging opportunities and accelerate industrial progress. Using patents as discrete units of technology,this paper examines their knowledge foundation through backward citations,and presents measurable indicators across five dimensions：diversity,depth,quality,recency,and time domain. Taking new energy vehicle power battery technology and additive manufacturing technology as examples of emerging and disruptive technologies,respectively,the study explores how the knowledge bases of patented technologies in different fields influence technological leaps by means of binary regression analysis. The results suggest that diversity,depth,and recency facilitate leap transitions in both types of technology,whereas the impact of quality and time domain varies by field.

Although the digital access divide between urban and rural minors has virtually been bridged,information poverty remains a persistent challenge for rural secondary school boarding students. Based on interview and fieldwork data,this study identifies the specific manifestations of information poverty and examines its formation mechanisms from a constructivist perspective. The findings suggest that information poverty among township boarding students is evident in their access to information,their information needs,and their relationship with technology,reflecting a logical trajectory from environmental constraints to internal cognition to behavioral responses. Boarding school life extends exam-oriented education in time and space,which weakens students' sense-making capacity. At the same time,the exam-centric mindset prevalent in rural communities causes these students to have an alienated relationship with technology. Consequently,they overlook the value of mobile phones as tools for accessing information and knowledge. Their use of technology tends to be heavily entertainment-oriented. The continuous widening of educational resource disparities between urban and rural areas,as well as the implicit stratification of digital media,has deepened structural differences between the two regions,and further intensified the information divide between urban and rural secondary school students.