[Purpose/significance] While AIGC strongly empowers scientific research knowledge production, it also triggers traditional academic misconduct risks such as plagiarism, fabrication and falsification, giving rise to new risk patterns such as AI ghostwriting and AI technology limited academic misconduct, which will impact on the current sci⁃entific research evaluation system. It is necessary to trace the root causes of these risks and regulate them. [Method/process] By deconstructing the underlying logic of AIGC intervention in knowledge production, it can be seen that Gen⁃erative AI acts on the knowledge level evolution path of "data-information-knowledge", as well as the thinking opera⁃tion process of knowledge search and evaluation, resulting in diverse types of Human-AI collaboration relationships,such as AI dominant, AI cooperative and AI assisted. The academic misconduct responsibilities of researchers vary un⁃der different types of Human- AI collaboration. [Result/conclusion] In terms of specific responsibility regulation
schemes, the traditional objective accountability stance is difficult to cope with the problem of "identity mismatch" be⁃tween AIGC academic misconduct subjects and responsible subjects. In this regard, the subjective accountability stance should be adopted, and set differentiated academic normative obligations such as originality declaration, trans⁃parency obligation, falsification prohibition, viewpoint tracing and factual examination for the author based on their "participation" and "contribution" in knowledge production. The author's subjective fault and its condemnability could be further evaluated by the nature and degree of obligation violations, thereby achieving a reasonable construction of the AIGC academic misconduct risk responsibility system.

[Purpose/significance] On 25 April 2024, the Renmin University of China launched the Philosophy and So⁃cial Sciences Preprint Server (PSSXiv), the first preprint server in Chinese philosophy and social sciences. It has pro⁃found significance in advancing the construction of the“Three Systems”of Philosophy and Social Sciences with Chi⁃nese Characteristics and China’s Independent Knowledge System. [Method/process] Through systematic analysis,this paper summarises the valuable experience of constructing China’s first preprint platform in philosophy and social sciences and suggests a future outlook for its construction. [Result/conclusion] PSSXiv is operated by a specialized ed⁃itorial and publishing institution that provides full-chain services and full-version academic exchanges across the en⁃
tire philosophy and social sciences field. It actively advocates cooperation with journals and strives to support the devel⁃opment of a collaborative innovation ecosystem. PSSXiv aims to establish itself as a world-class preprint server for phi⁃losophy and social sciences with Chinese characteristics. PSSXiv plans to achieve this by establishing disciplinary subservers,strengthening bilingualism, integrating intelligent technology, the cohesion of academic communities, and con⁃structing a natural evaluation model to diversify its content, expand its international presence, and enhanceits synergyand academic credibility.

[Purpose/significance] As“AI for Science”is increasingly viewed as the“fifth paradigm”of scientific re⁃search, Artificial Intelligence (AI) has begun to exert a profound impact on both the research processes and disciplinary boundaries of Information Resources Management (IRM). However, a comprehensive examination of AI’s applications and influences in IRM, from a holistic disciplinary perspective using systematic theoretical tools, remains lacking.Drawing upon the I-model theory, this paper investigates the key elements, underlying mechanisms, and future chal⁃lenges of AI-empowered IRM research, aiming to offer fresh perspectives for both academic inquiry and practice. [Method/process] Employing a literature review and representative case analyses, this study summarizes the core com⁃ponents and key pathways of AI-driven Information Resources Management (AI4IRM). It then utilizes the four dimen⁃sions of the I-model—information, technology, people, and organization/society—to analyze AI’s innovative applica⁃
tions in tasks such as information retrieval, knowledge discovery and management, as well as data processing and analy⁃sis. The paper also provides a comprehensive review of forthcoming trends and potential risks. [Result/conclusion]The findings reveal that AI holds substantial promise in enhancing information analysis accuracy, decision-support effi⁃ciency, and knowledge service capabilities. Nevertheless, significant challenges persist, particularly regarding data quality in large-scale datasets, algorithmic bias, privacy concerns, and ethical regulations. By illuminating the dynamic relationships and complexities inherent in AI-driven IRM, the I-model theory furnishes theoretical and practical foun⁃dations for advancing interdisciplinary research and informed decision-making in this evolving field.

[Purpose/significance] In emergency situations, information search obstacles and information asymmetry lead to the obstruction of event information dissemination. Evaluating and analyzing the friction of online public opin⁃ion information in emergency situations, and providing reference theoretical tools for emergency management are of great significance for improving the government's public opinion governance capabilities. [Method/process] Based on the concept of information friction in information economics, an evaluation indicator system for online public opinion in⁃formation friction in the context of public events is constructed from two dimensions: information search obstacles and information asymmetry. Using the entropy weight method to evaluate and rank information friction in different thematic time periods, we compare online public opinion information friction based on the Kruskal Wallis non parametric test for different lifecycles and topic types. The effectiveness of emergency response is measured from a public perspective.The impact mechanism of information friction on emergency response effectiveness is revealed through correlation anal⁃
ysis. [Result/conclusion] This study establishes a quantitative standard for the friction of online public opinion infor⁃mation. Results find significant differences in information friction among different lifecycles and theme types, with high⁃er friction in the initiation and outbreak periods, and higher friction in the topics of investigation accountability and emotional expression. There is a significant negative correlation between information friction and the effectiveness of emergency response. Information search obstacles have a greater impact on the effectiveness of emergency response compared with information asymmetry. The findings provide suggestions for government departments to govern the dis⁃semination of online public opinion information during public events.

[Purpose/significance] Managing sensory information resources in cultural heritage and creating sensory interactive experiences are crucial pathways for cultural heritage conservation and revitalization in the digital age. Com⁃pared to vision and hearing, the sense of smell is a dimension that has not been fully recognized. Revealing olfactory in⁃formation in cultural heritage activation and achieving olfactory reconstruction of cultural heritage is an important and exploratory frontier research. [Method/process] Based on comprehensive literature review, this paper proposes core concepts such as cultural heritage smellscape and its information revelation and digital construction using interdisci⁃plinary theories, methods, and perspectives. Building upon these concepts, an overarching framework for the informa⁃tion revelation and digital construction of smellscape in cultural heritage, relying on the discipline of information re⁃source management, is developed. [Result/conclusion] This framework, with cultural heritage activation as the strate⁃
gic background, centers on olfactory information resources and management, with digitization as the mainline, consist⁃ing of two stages: digital preparation (information revelation) and digital implementation (digital construction), and five components: olfactory information collection, olfactory information organization, olfactory information presentation, ol⁃factory information foundational applications, and olfactory information comprehensive applications. Corresponding to the two stages in the framework, the paper further elaborates on two critical issues: the representation of olfactory infor⁃mation in cultural heritage and olfactory information interaction, and outlines an interdisciplinary methodological sys⁃tem for addressing these issues.

[Purpose/significance] The increasing prevalence and pernicious impact of misinformation on social media present a formidable challenge for which algorithms and experts alone are increasingly inadequate. Research has dem⁃onstrated that proactive individual verification of information can effectively combat misinformation. Therefore, it is im⁃perative to investigate strategies to boost social media users' intention to verify information before sharing it. [Method/process] Based on the theory of planned behavior, this study aims to construct a model on the factors that influence us⁃ers' intention to verify before sharing on social media. An empirical test was conducted to validate the proposed model and all assumptions. [Result/conclusion] The results indicate that five factors fundamentally influence users' verifica⁃tion intention before sharing on social media. Specifically, competency and awareness enhance perceived behavioral control, while awareness, discussion heterogeneity preference, and third-person perception increase attitudes, and per⁃
ceived social support strengthens subjective norms. Furthermore, perceived behavioral control, attitudes, and subjec⁃tive norms strengthen verification intention before sharing. Subjective norms also indirectly promote verification inten⁃tion by promoting attitudes. However, perceived information overload negatively moderates the association between per⁃ceived behavioral control and verification intention before sharing. The findings deepen the understanding of users' health information verification behaviour and provide new insights for stakeholders in health misinformation gover⁃nance. 

[Purpose/significance] Overcoming the "temporal blind spot", this study explores the multifactor linkage effects for enhancing the utilization level of Open Government Data (OGD) platforms in the temporal dimension, aiming to provide theoretical contributions and practical value to research on government data openness. [Method/process]Employing the dynamic QCA method, based on panel data from 29 municipal platforms （2019-2023）， this study analyz⁃es the temporal trends of local government OGD platform utilization levels, identifying condition configurations consid⁃ering both spatial and temporal factors. [Result/conclusion] There are no necessary conditions affecting OGD platform utilization levels; rather, the utilization level is influenced by multiple factors acting together, not controlled by a single factor. In the sufficiency analysis of condition combinations, three configuration paths are identified: platform driven by fiscal support and data resource construction, government-led platform construction and public demand-driven, gov⁃
ernment-led platform and data resource-driven. The level of data platform construction is the core factor promoting high utilization levels of OGD platforms. The configuration analysis results show no apparent temporal effects but exhib⁃it case effects resulting from certain spatial differences.

[Purpose/significance] The rapid development of generative artificial intelligence has propelled changes in user interaction behaviors and cognitive patterns. This study focuses on the differences in users' interactive behaviors with generative artificial intelligence and their evaluations of system performance under tasks with different levels of cognitive complexity. [Method/process] This study employs the user experimentation method and uses the Kruskal-Wallis test to explore the impact of task cognitive levels on user interaction behaviors and system evaluations. It also employs thematic analysis to induce new metrics for user evaluations of generative AI. [Result/conclusion] In terms of interaction behavior, during the completion of tasks at different cognitive levels, the duration of information usage by us⁃ers remains almost unchanged, while it is always the duration of information acquisition that varies. Tasks of evaluation and creation take the most time, involve the most question-and-answer rounds, and have the shortest average response
length. In the answers to application and analysis tasks, the total copy ratio is lower than that of memory, understanding,evaluation and creation tasks. In terms of system evaluation, tasks of evaluation and creation receive the poorest overall performance. Regarding new evaluation metrics, the study has induced 6 major categories and 17 minor categories of new metrics. This paper supplements user-centered evaluation metrics for generative AI at the theoretical level and helps intelligent systems understand user behavioral characteristics under different task types at the practical level, pro⁃viding more targeted information services.

[Purpose/significance] Accurately grasping the driving factors and irrational performance characteristics of different types of social media users' differential situational motivational states under the risk perception of opinion in⁃volvement, and improving the targeting of the regulation of irrational user behavior and online public opinion risk man⁃agement. [Method/process] Based on the semi-structured interview data, user labels are extracted by using the root⁃ing theory, and a social media user portrait model of irrational behavior under the risk perception of public opinion in⁃volvement is constructed under the framework of the situation theory of problem solving, and the group structure of four categories of user portraits with significant differences is derived through the K-means clustering algorithm for empiri⁃cal analysis. [Result/conclusion] The irrational behavior user groups under the perception of risk of public opinion in⁃volvement can be divided into four categories: information-addicted, passive-adherent, interest-focused, and lossavoidance,and according to the characteristics of the different dimensional labels, behavioral guidance strategies can be proposed from the four aspects of demand guidance, information regulation, emotional reshaping, and technological empowerment.

 [Purpose/significance] Short videos have gradually become one of the primary channels for the public to ob⁃tain information. Through short videos, various types of information can rapidly disseminate among users, including a large number of false short videos. Many of false short videos are adopted or shared by users, it may harm them and dis⁃turb the online information environment. Therefore, this study explores the factors influencing the dissemination of false short videos, in order to provide references for the governance of false short video and the optimization of online in⁃formation ecology. [Method/process] To explore the influence of content sentiment of false short video on user emotion and false short video dissemination effect, this study employed user sentiment as a mediator and content relevance as a moderator, constructed the research model based on the CAC Model and ELM Model, and then collected 1007 effective false short videos from the TikTok, extracted image, text and audio sentiment from these false short videos based on text
sentiment analysis, image recognition, and other technologies. As such, the study verified the moderating effect of con⁃tent relevance. [Result/conclusion] Images, text and audio sentiment of false short videos exert significant positive ef⁃fects on users' emotions in different degrees, while the author's avatar and background music exert no significant effect on users' emotions. User emotion exerts a significant negative effect on dissemination effect of false short videos, and partly plays a mediating role between the content sentiment of false short video and its dissemination effect. Content rel⁃evance significantly moderates the influence of the negative impact of user emotion on false short video dissemination effect.

[Purpose/significance] Starting from the analytical framework of actor-network theory, analyzing the datadriven model of smart elderly care around various scenarios will help us gain a deeper understanding of the infrastruc⁃ture of data-driven smart elderly care services and master its data-driven strategy to continuously promote the develop⁃ment of smart elderly care. [Method/process] Based on the actor-network theory, combined with the data value chain model and the concept of service scenario, the basic elements of data-driven smart elderly care services are analyzed.Starting from the three aspects of the physical space, interactive space and data space of the scenario, combined with lit⁃erature analysis, research interviews and domestic and foreign practical experience, the basic logic of data-driven smart elderly care services is deconstructed in the scenario. [Result/conclusion] The basic elements and translation
process of the smart elderly care actor network demonstrate the infrastructure and logical path of data-driven smart el⁃derly care services. Among them, the basic elements of the smart elderly care actor network emphasize multi-dimen⁃sional interactive service scenarios, structured data activities, and heterogeneously coupled actors as the infrastructure of data-driven smart elderly care services; the translation process of the smart elderly care actor network focuses on the logical path of data-driven smart elderly care services, with the purpose of industry docking, platform empowerment,and data efficiency enhancement, centering on service integrators, service providers, service demanders, and the data collection, organization, circulation, and utilization activities they participate in, through processes such as problem identification, benefit granting, subject absorption, and goal mobilization, data drives smart elderly care services.

[Purpose/significance] To effectively respond to diversified, concealed, high-intensity, large-scale, and persistent cyberspace security threats, it is imperative to construct an integrated, comprehensive, and intelligent cyber⁃space security intelligence service architecture. [Method/process] Using the enhanced Hall model as the analytical framework and adhering to the principles of centering on cyberspace security and security intelligence as a service, this study constructs a cyberspace security intelligence service architecture and deeply analyzes its operating mechanism.[Result/conclusion] The cyberspace security intelligence service architecture consists of three components: process submodule, logic submodule, and cognition submodule. The service processes cater to three types of demands: cyber⁃space security perception, cyberspace security judgment, and cyberspace security execution. The service work reflects the operating logic of " attack scenario traceability-event correlation identification-crisis response escalation". The
cognition of cyberspace security intelligence services is mainly embodied in three aspects: value consensus, technical support, and capability guarantee. The construction of the cyberspace security intelligence service architecture can pro⁃ vide a reference for intelligence service work in China's cyberspace security guarantee system.

[Purpose/significance] Interdisciplinarity plays an important role in the discovery of significant scientific innovations. Exploring the patterns of scholarly interdisciplinarity，especially comparing the differences among schol⁃ars of various disciplines between China and America, holds substantial reference value for the advancement of interdis⁃ciplinary research and management in China. [Method/process] This paper does not forcibly classify scholars into a specific discipline, but only considers the disciplines they are involved in. Taking the scientific paper data of Chinese and American scholars in Scopus database as an example, it constructs three measurement indexes of variety of scholar interdisciplinarity, balance of scholar interdisciplinarity and specialization index. This paper then respectively extracts the scientific research outputs of 4.37 million Chinese scholars and 2.86 million American scholars，and measures and dynamically analyzes the scholar′s interdisciplinarity of the two countries over the past decade. [Result/conclusion]
The study shows that: (1) overall, Chinese scholars outperform American scholars in terms of variety and balance of scholar interdisciplinarity, especially in the core and top scholar groups; (2) Chinese disciplinary fields are generally in the stage of rapid development, whereas most of them are in the stage of stabilization in America, which makes Chinese scholars show wider participation and integration in interdisciplinary research, whereas American scholars show a heightened degree of specialization; (3) moreover, there are significant differences among scholars in various disci⁃plines when it comes to interdisciplinary research. In the fields of social sciences and medicine, Chinese scholars tend to engage more in interdisciplinary collaboration compared to their American counterparts. However, in engineering fields such as computer science, chemistry, and materials science, American scholars are involved in a wider range of disciplines. The research results provide valuable insights for guiding the management of interdisciplinary research inChina.

[Purpose/significance] The overall architecture of the smart elderly care data resource system has been pro⁃posed and it provided a theoretical framework and directional guidance for building a smart elderly care data resource system. [Method/process] According to the overall architecture concept, it clarified the vision and goals of the smart elderly care data resource system and built the basic framework for the system based on information ecology theory. It explored the key points and interrelationships of the four elements, including the diversified subject relationships, the process of data elementization, the application scenarios of data service, and the overall process integration guarantee.[Result/conclusion] The smart elderly care data resource system is a data ecosystem guided by the Healthy China strat⁃egy and the Digital China strategy, consisting of four elements: muti-agent, data resources, service applications, and in⁃tegrated security. It identified the problems that exist in various elements in practice through investigation, and pro⁃posed that the construction of smart elderly care data resource system should focus on the following four aspects, includ⁃ing: supply and demand matching based on multi-agent collaboration, data resources-based construction of elderly care data, value mining of application scenarios and services, and integrated system construction of elder data resourc⁃es.

[Purpose/significance] Artificial Intelligence (AI) has become a central issue in global technological devel⁃opment. The sociotechnical imaginaries formed in different countries, that is, the collective visions of the future of AI are profoundly shaping national policy formulation and development planning. This study conducts a comparative analy⁃sis of different region’s AI policy documents to uncover emotional orientations and policy trajectories. The findings aimto provide references for the formulation and refinement of AI policy in China. [Method/process] A total of 35 key AI policy documents published between 2016 and 2024 by China, the US, the UK, India, and the EU were selected for analysis. Using computational topic modeling and sentiment analysis, the study explores the sociotechnical imaginaries and sentiments reflected in these policy texts. [Result/conclusion] China, the US, the UK, India, and the EU placed strong emphasis on AI chip research and shared aspirations for AI to empower social development and enhance human well-being. Meanwhile, concerns about data misuse, algorithmic bias, and technical robustness and security vary in in⁃tensity. The Global South focus more on technological inclusion and economic transformation, while those in the Global North place greater emphasis on regulatory frameworks and risk mitigation. The Global North has generally exhibited a long-standing preference for a "governance-first" paradigm, while the Global South is transitioning from a "develop⁃ment-first" stance toward a more balanced approach that integrates both development and governance. Overall, the sen⁃timent expressed in AI policies has gradually shifted from optimism to a more neutral and cautious outlook.

[Purpose/significance] With the development of mobile Internet, the modes of individual and group commu⁃nication have become increasingly diverse, and various social relationships together form a complex information com⁃munication network. In this environment, exploring the competitive communication of true and false information has great practical significance for improving the governing measures of information and forming a good network informa⁃tion ecology. [Method/process] Based on the complex network theory, this paper constructs the coupling relationship network between individual contacts and group contacts, and analyzes the influencing factors of the information commu⁃nication. The extended SIR Model is used to establish the competitive communication model of true and false informa⁃tion based on the coupling relationship network, and through simulation experiments, the impacts of various influenc⁃ing factors on the competitive communication of true and false information are compared and analyzed. [Result/conclu⁃sion] In the competitive communication of true and false information based on coupling relationship network, the net⁃work structure, information issue time, credibility degree, and user media literacy have obvious effects on the competi⁃tive communication, and they can greatly affect the competitive communication result of true and false information based on coupling relationship network.
Keywords: coupling relationship network

[Purpose/significance] The identification of smart elderly data resources around multiple subjects, with a view to providing important reference support for solving the matching of supply and demand of smart elderly services.[Method/process] A meta-ethnographic qualitative research method was used to integrate 28 original studies, and based on the results of the integration of smart aging data resources, a framework of smart aging data resource elements was constructed. [Result/conclusion] Three main dimensions of "individual subject""institutional subject" and "on⁃line information space", eight specific subject types of "elderly people""government agencies""elderly care organiza⁃tions""social organizations""healthcare organizations""elderly care communities""intelligent terminals devices" and "online spatial platforms", as well as the data resource elements of the 101 different subjects are integrated.

[Purpose/significance] The rapid development of Generative Artificial Intelligence (GenAI) products has completely transformed the interaction patterns between humans and artificial intelligence. In-depth exploration of the motives and patterns of self-disclosure in user-GenAI interactions helps to understand the diversity and complexity of user self-disclosure in this context, providing a new perspective for exploring user information behavior in human-intel⁃ligence interaction. [Method/process] Based on the CASA paradigm, social penetration theory, and mind perception theory, systematic thematic analysis was conducted on interview data from 20 GenAI users. [Result/conclusion] The study found that the motives for self-disclosure in user-GenAI interactions can be divided into three dimensions: envi⁃ronmental, technological, and user-related. Moreover, the patterns of self-disclosure in user-GenAI interactions can be categorized into three types: increasing disclosure layer, stable disclosure layer, and decreasing disclosure layer. By ana⁃lyzing the motives and patterns of user self-disclosure, it provides references for optimizing "people-centered" GenAI design, which is helpful for more precise and effective experience optimization for different types of users.

[Purpose/significance] Intelligence Failure (IF) in the data-intelligence era is a significant contributor to the failure of intelligence operations. Therefore, it is of great theoretical and practical significance to study the causes and avoidance strategies of IF in the data-intelligence era. [Method/process] Firstly, the influence of the data-intelli⁃gence era on intelligence operations was discussed and IF in the data-intelligence era was presented. Secondly, the causes of IF in the data-intelligence era were analyzed from multiple perspectives. Finally, a system of avoidance strat⁃egies for IF in the data-intelligence era was constructed and analyzed. [Result/conclusion] The results show that the causes of IF in the data-intelligence era mainly involve various factors at three levels: IF subjects, IF technologies and IF environments. In response to the causes of IF in the data-intelligence era, ten avoidance strategies for IF are pro⁃posed.

[Purpose/significance] Virtual digital human are becoming the new darling of various industries in the era of digital economy. This study deeply identifies and analyzes the driving factors of virtual digital human users' online participation behavior from user demand perspective, which provides reference for the theoretical research and optimi⁃
zation of operation practice of virtual digital human. [Method/process] This study collects the bullet screen text re⁃
leased by the users of Bilibili in the original videos of typical virtual digital human such as Hatsune Miku, Luo Tianyi
and Liu Yexi. Based on the computational grounded theory, combined with the uses and gratifications theory, this study
extracts the demand factors of virtual digital human user's online participation behavior, then analyzes the relationships
between virtual digital human user's demand and the influence paths on online participation behavior. [Result/conclu⁃
sion] Virtual digital human users’demand includes emotional demand, social demand, content demand and aesthetic
acceptance demand, which all affect their online participation behavior. Content demand, aesthetic acceptance demand
and social demand affect users'emotional demand. Several useful optimization strategies from users’demand perspec⁃
tive are accordingly put forward, such as shaping rich and three-dimensional character setting, creating substantial and
interesting personalized content, and providing real-time and continuous emotional relationship.

[Purpose/significance] Existing studies have investigated factors affecting privacy risks in human-AI inter⁃actions, but their conclusions vary widely. This study systematically reviews relevant empirical research to identify key influencing factors and potential moderators of privacy risk perception in human-AI interaction. [Method/process] A meta-analysis was conducted, screening 64 valid studies. Key factors affecting privacy risk perception were identified across four dimensions: AI interaction characteristics, user characteristics, privacy concerns, and privacy protection en⁃vironments, totaling 19 critical factors. Potential moderators were tested to identify sources of heterogeneity in the find⁃ings. [Result/conclusion] Factors across the four dimensions influence users’privacy risk perception to varying de⁃grees. Information sensitivity, privacy concerns, perceived threats, and anxiety exhibit strong correlations with privacy risk perception. AI characteristics, long-term orientation, uncertainty avoidance, and gender demonstrate significant moderating effects.

[Purpose/significance] In the context of digital information, the social function of information resource man⁃agement has changed from information resource provider to knowledge service innovator, social problem solver and cul⁃tural ecology builder, and the user information acquisition paradigm has changed from "search - screening" to "ques⁃tion - generation". Generative artificial intelligence represented by DeepSeek, as a new channel for information acqui⁃sition, is gradually regarded by users as an information service model similar to information resource management.[Method/process] Focusing on the phenomenon of the formation and exertion of the information resource management function of generative artificial intelligence, exploring its causes from multiple dimensions such as technology, society and cognition, analyzing the social benefits of generative artificial intelligence as an information channel under techno⁃logical advantages, and clarifying the resulting technology intermediary cognition and its alienation challenges. [Result/
conclusion] Explored the construction strategies of the human-machine collaborative cognitive ecosystem, provided references for solving the challenges brought by generative artificial intelligence in performing the function of informa⁃tion resource management and developing digital intelligence-driven information services.

[Purpose/significance] Public libraries work with communities to help reach more regions and populations with health information services, opening up the "last mile" of health information services. [Method/process] Com⁃bined with literature research and website survey, focusing on 14 public library community health information service projects of the Electronic Information for Libraries (EIFL) and 20 public library community health information service projects funded by the Network of the National Library of Medicine (NNLM) of United States, This paper summarizes the practice of public libraries and communities in carrying out health information services from five aspects: joint guar⁃antee, joint content, joint methods, service objects, and joint effectiveness. [Result/conclusion] Public libraries and communities can start from the following four aspects to carry out health information services: improve the guarantee of
funds and talents, and strengthen the foundation of health service cooperation; based on the needs of the community, en⁃rich the content of health service cooperation; link the superior resources of both parties and innovate the way of health service cooperation; focus on marginalized areas and populations, and promote equitable access to health services.

[Purpose/significance] With the rapid development of technologies such as the Internet, cloud computing,big data and artificial intelligence, the impact of digital transformation on human happiness has gradually emerged.This paper aims to explore the conceptual connotation of digital happiness and construct a standardized evaluation in⁃dex system to provide theoretical basis and practical guidance for understanding and improving digital happiness.[Method/process] Through literature research, interview, qualitative text analysis and other methods, the evaluation in⁃dicators of digital happiness were comprehensively extracted, and the weight of each indicator was determined by the analytic hierarchy process, and a digital happiness evaluation index system was constructed. At the same time, based on this system, the digital happiness level questionnaire is designed, using the fuzzy comprehensive evaluation method to evaluate the current situation of the public's digital happiness. [Result/conclusion] Three main dimensions of digi⁃tal happiness were proposed in this paper: the positive use experience of digital products and services, the positive psy⁃chological function in the use of digital products and services, and the positive social mentality in the use of digital prod⁃
ucts and services. The public's digital happiness suffers from a lack of security, autonomy, and inclusion in digital soci⁃ety, which can be improved by strengthening digital society governance, optimizing product design, and enhancing user capabilities. This paper provides a new theoretical framework and assessment tool for evaluating and improving digital happiness, which can guide the governance of digital society and product design optimization.

[Purpose/significance] The instruction following, chain of thought and reasoning ability of large language models provide new opportunities for the automatic part-of-speech tagging task of ancient texts, which is conducive to the promotion of the research work on intelligent information processing of ancient texts. [Method/process] In this study, based on a manually calibrated part-of-speech tagging corpus of the Twenty-four Histories, we apply the LoRA method to efficiently supervise the fine-tuning of mainstream Chinese LLMs, and test the zero-shot and one-shot learn⁃ing ability of the SFT model in order to compare its performance in word segmentation and part-of-speech tagging of ancient texts. [Result/conclusion] The test found that the fine-tuned Xunzi-Baichuan model has the best overall per⁃formance, with F1 scores of 92.293% and 85.75% for word segmentation and part-of-speech tagging of ancient texts,respectively, while the F1 scores for word segmentation and part-of-speech tagging of modern Chinese are 91.993%
and 86.344%.

[Purpose/significance] As the frontier of data utilization, the intelligence analysis still faces challenges such as decoupling of thinking and technology, the emergence of marginal effects, and poor adaptation between tasks and technologies in the fusion of multi-source and multi-modal data. It is urgent to explore the logical thinking and technical path for data fusion and utilization under the guidance of intelligence thinking and the traction of intelligence tasks. [Method/process] This paper clarifies the ubiquity, high dimensionality, dynamicity, complementarity and re⁃dundancy characteristics of multi-source and multi-modal data, and explains the multi-source and multi-modal data fusion for intelligence analysis from the perspective of information chain and information theory; based on the principle of "data is useful, available and utility", the underlying logic is constructed to form the basic idea of organic coordina⁃tion of intelligence tasks, data characteristics and system effectiveness; by embedding digital intelligence technology in⁃to the intelligence analysis process, a three-stage progressive multi-source and multi-modal data fusion technical path of "data resource preparation, multi-dimensional feature alignment, smart intelligence generation" is proposed. [Re⁃sult/conclusion] The research results provide strategic references and methodological guidelines for the fusion of multi-source and multi-modal data to empower intelligence practice, which is helpful to promote the deep mining of da⁃ta value and the digital-intelligent transformation of intelligence work.