[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] Reveal the generation mechanism of privacy leakage risks among users of medical e-commerce platforms and propose corresponding control strategies to enhance user privacy security in the medical ecommerce sector and safeguard user privacy rights. [Method/process] In-depth interview is conducted to collect ini⁃tial data. Using thematic analysis, the MOA and SOR frameworks are integrated to extract the influencing factors of pri⁃vacy leakage risks in medical e-commerce. The interrelations among these factors are mapped out, and a model for the generation and control mechanism of these risks is constructed. [Result/conclusion] Privacy disclosure motivation, pri⁃vacy protection environment, and privacy literacy, as stimuli, all indirectly influence users' privacy risk control behav⁃iors through the mediation of perceived privacy leakage risk. Furthermore, users' privacy cognitive psychology impacts their perception of privacy leakage risk, moderating the relationship between stimuli and perceived privacy leakage risk, as well as between perceived risk and risk control behaviors. Given this, the research proposes a range of data gov⁃ernance and privacy protection strategies from the dual perspectives of government and platform, including establishing a full lifecycle privacy protection mechanism and implementing graded labeling of privacy information.

[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] 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] 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] 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] 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 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] 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] 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.

[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 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] 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] 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] With the rapid advancement of generative AI technologies, prompts have transcend⁃ed their traditional role as mere human-computer interaction interfaces and have evolved into a core competency for navigating the digital age. [Method/process] This study systematically investigates the concept of prompt literacy, tak⁃ing the multifaceted nature of prompts as a logical starting point. Drawing on relevant perspectives from the school of so⁃cial informatics, it explores the theoretical underpinnings of prompt literacy in three dimensions—individual, system,and practice. It also explores practical approaches to improving prompt literacy across society from an interdisciplinary perspective. [Result/conclusion] As a crucial link between human-AI interaction and value co-creation, prompt liter⁃acy exhibits a dual character, encompassing both information practices and technological ethics. There is an urgent
need to develop a theoretical framework rooted in socio-technical practices. This study outlines several directions for future research, aiming to advance both the theoretical refinement and practical development of prompt literacy.

[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] The conceptual connotation of the information cocoon, which is both tangible and in⁃tangible, has led to the bottleneck of inconsistent research conclusions and inability to integrate research results in quantitative methods based on conceptual descriptions. Therefore, abstracting the concept of information cocoon and gradually improving the quantitative methodology system becomes a reasonable choice that conforms to the laws of sci⁃entific development. [Method/process] Starting from the important issue of analyzing the form of information cocoons,this article reviews and summarizes the research results at home and abroad. From the perspectives of metaphorical con⁃cept setting, the possibility of multidimensional forms, ecological fallacies and reductionism in empirical research, and the inability to track the "behavior" of social media users, the reasons for the "formal but intangible" nature of informa⁃tion cocoons and related issues in the field are sorted out, and the necessity of abstracting the concept of information co⁃coons is explained. On this basis, based on the process characteristics of information cocoon formation, a conceptual ab⁃stract model of information cocoon is constructed using complex network domain knowledge, and the method of quanti⁃fying information cocoon through complex network domain knowledge is interpreted from three levels: selection homog⁃enization, content homogenization, and group homogenization. [Result/conclusion] This conceptual abstract model aims to innovatively achieve the first abstraction of the concept of information cocoon based on the connotation of the concept of "being tangible but intangible", forming a scientific, stable, and strongly generalized quantitative method for information cocoon.

[Purpose/significance] Promoting the construction of elderly-friendly public cultural services is of great significance for enhancing the cultural sense of achievement and happiness of the elderly, and building a Chinese style active aging society. Systematically exploring the characteristics of current policies for elderly-friendly public cultural services in China, clarifying the structure and problems of policy tools, can provide reference for future policy optimiza⁃tion. [Method/process] This study constructs a three-dimensional analysis framework of“policy tools - elderly needspolicy implementers”from the perspective of policy tools, and uses content analysis to quantitatively analyze 66 policytexts released in China. [Result/conclusion] In terms of policy tools, supply oriented policy tools tend to focus on edu⁃cation and training, environmental policy tools have insufficient binding force, and the use of demand oriented policy tools is significantly insufficient. The attention of policy tools to the middle and low-level needs of elderly people should be strengthened. Policy tools have not fully utilized the functions of policy implementers. Based on this, the fol⁃lowing optimization strategies are proposed: (1)adjusting the layout of supply oriented policy subclasses to support the development of education and training; strengthening environmental policy tools and combining soft and hard measures⁃to create an elderly-friendly environment; enriching demand driven policy tools to attract multiple stakeholders to par⁃ticipate on a regular basis；(2)following the logic of low to high to meet the needs of the elderly；(3)promoting the diver⁃sification of policy implementers to fully leverage social forces.

[Purpose/significance] Frequent privacy leakage incidents and increasingly complex privacy control strate⁃gies have exacerbated user privacy fatigue, and exploring the formation mechanism of social media users' privacy fa⁃tigue can provide a theoretical reference for user cognitive load relief, privacy anxiety debugging and effective privacy protection strategy formulation. [Method/process] Combining cognitive load, cognitive bias and CAC theory, the forma⁃tion mechanism model of privacy fatigue of social media users was constructed, and the partial least squares structural equation model and fuzzy set qualitative comparative analysis method were used for empirical test and configuration analysis. [Result/conclusion] In terms of cognitive factors, overconfidence positively affects optimism bias, informa⁃tion overload, social overload and system function overload all positively affect emotional exhaustion, and system func⁃tion overload also has a positive impact on negative neglect. In terms of emotional factors, emotional exhaustion, nega⁃tive neglect and optimistic bias all positively affect user privacy fatigue, and optimistic bias not only has a positive im⁃pact on emotional exhaustion and negative neglect, but also positively affects privacy fatigue under the mediating effect of the two. In terms of configuration effect, the two antecedent configurations of information overload and social over⁃load will trigger user privacy fatigue. In addition, there was no significant difference in the effect of control variables such as demographics on social media users' privacy fatigue.

[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] The digital transformation of healthcare services has exacerbated technological ad⁃aptation challenges among older adults. While existing studies emphasize age-related disparities in the digital divide,they neglect the interplay between biologically driven capability deprivation and techno-social factors. This study pro⁃poses the concept of“Age-Related Digital Dysfunction”(ARDD) and investigates its generative mechanisms to address theoretical gaps in understanding the“aging-technology antagonism”within digital inequality frameworks. [Method/process] Using a qualitative approach, semi-structured in-depth interviews were conducted with 38 older adults from five Chinese provinces/autonomous regions. Data focused on their experiences of digital barriers across healthcare workflows, along with their causal attributions and coping strategies. Thematic analysis and contextual interpretation were employed to identify ARDD’s manifestations and generative pathways. [Result/conclusion] The findings reveal
that ARDD manifests in three dimensions: operational dysfunction, informational dysfunction, and decision-making dysfunction. ARDD’s generative mechanism follows a“bio-techno-social”interactive model: age-related cognitive and physiological decline acts as a necessary precondition, while technology-exclusionary designs and deficiencies in social support systems jointly exacerbate systemic deprivation of capabilities. ARDD is thus defined as“a state of per⁃sistent capability deprivation wherein intrinsic functional decline due to aging, compounded by techno-social exclu⁃sion, impedes older adults’effective engagement with digital technologies in healthcare.”

[Purpose/significance] With the rapid advancement of Generative Artificial Intelligence (GenAI) technolo⁃gy, the human-machine collaborative model in smart libraries has undergone innovative enhancements. This technolog⁃ical evolution has brought significant transformations across multiple dimensions, including service quality, resource al⁃location, and application scenarios, thereby providing an advanced technical foundation for the transformation and up⁃grading of smart libraries. [Method/process] Based on the extended information system continuous use model, media system dependence theory and user habit theory, the study analyzes the influencing factors and antecedents of users’ continuous use of generative AI-enabled smart library, and builds a conceptual model of influencing factors of user’s continuous use behavior of generative AI-enabled smart library. This paper studies how generative artificial intelli⁃
gence in the construction and development of smart library affects the user’s attitude and continuous use behavior un⁃der the application scenario, so as to provide a new research perspective and a theoretical framework for the user’s con⁃tinuous use of smart library. [Result/conclusion] The empirical results show that media dependence has significant positive effects on expectation validation and perceived usefulness. The degree of expected validation and perceived usefulness have significant positive effects on user satisfaction. The degree of expected validation and perceived useful⁃ness play a partial mediating role between media dependence and user satisfaction. User satisfaction plays a partial me⁃diating role between expectation confirmation degree and user’s continuous use behavior, and the effect is significant.However, the mediating effect of user satisfaction between perceived usefulness and continued usage behavior is not sta⁃tistically significant. User habit has a significant negative moderating effect on the relationship between expectation confirmation and user’s continuous use behavior. 

[Purpose/significance] In the digital age, with the rapid development of information and communication technology, the phenomenon of digital disconnection has been steadily emerging. This study endeavors to explore the mechanisms behind the formation and evolution of digital disconnection behavior from a dynamic perspective, thereby deepening the understanding of the interaction between technology and individuals. The findings aim to offer valuable insights for enhancing user experience and fostering digital literacy. [Method/process] We crawled 1205 posts and comments from five groups related to digital disconnection in the Douban community and combined them with the texts of 21 interviews, constructed a framework model using thematic analysis, and analyzed the relationship between various elements of the model in order to clarify the process mechanism. [Result/conclusion] In this study, we constructed a
model of the mechanism and process evolution of users’digital disconnection behavior, which dynamically represents the overall logic of“digital awakening - technology domestication-digital conflict and contradiction-evaluation and ad⁃justment”. Correspondingly, the interaction between users and technology shows an evolutionary trend of“technology domestication-technology compromise/technology resistance-technology reflection”. In addition, this study identified three evolutionary pathways of digital disconnection: the short-term relief model, the rational optimization model, and the deep trade-off model.

[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] The preprint platform is an early publishing platform for academic research. As a part of the disciplinary institution, analyzing preprint platforms’disciplinary characteristics and innovative develop⁃ment path is beneficial for them to serve the needs of disciplinary development more accurately. [Method/process]Through literature analysis and online research, firstly, analyze the relationship between discipline classification, disci⁃pline institution, and academic publication; secondly, by describing the disciplinary characteristics of preprint plat⁃forms of China and abroad, analyze the problems and challenges they face under disciplinary institution; finally, based on the disciplinary institution, suggestions for the innovative development of preprint platforms are proposed. [Result/conclusion] The development of preprint platforms needs to focus on the following aspects: consolidating the strength of the academic community and creating a high-quality distribution center for various disciplines; to serve the disci⁃pline construction demand and promote academic development in new fields such as interdisciplinary studies; fully uti⁃lize modern digital technology to achieve a knowledge production mode of human-machine collaboration.

[Purpose/significance] While the digitisation of public cultural services may facilitate users' access to cul⁃tural resources, it also raises the threshold of access to public cultural services, placing a burden on elderly users. This paper is proposed to eliminate the digital burden of elderly users under the digitalisation of public cultural services, to protect the digital cultural rights and interests of elderly users, and to promote the development of equalisation of public cultural services. [Method/process] The article mainly explores the formation mechanism of digital burden of elderly users in the context of digitisation of public cultural services, and puts forward the influence hypothesis of digital bur⁃den of elderly users based on cognitive load theory. Taking the National Cultural Cloud as an example, the question⁃naire survey method is used to collect data, the hypothesised paths are tested by structural equation modelling, and the
model stability test is conducted using artificial neural network. [Result/conclusion] The results show that information overload, task complexity and system design overload significantly exacerbate the digital burden of elderly users, while prior experience can effectively alleviate users' digital burden. Meanwhile, the ranking of the influence of each variable on digital burden is task complexity>system design overload>prior experience>information overload.

[Purpose/significance] The intellectual cooperation and growth of scientific research talents is an impor⁃tant driving force for scientific and technological progress. Based on the concept and measurement method of the re⁃search cooperation role, this paper studies different scientific research cooperation role evolution patterns and the driv⁃ing factors of cooperators, in order to provide references for the academic career planning of researchers and the formu⁃lation of scientific research policies in government universities. [Method/process] Based on the academic data of re⁃searchers in the database of the American Physical Society from 1998 to 2016, a measurement index of research cooper⁃ation role based on h-index and network topology index and a qualitative and quantitative measurement method are pro⁃posed to explore the evolution model of researchers’research cooperation role, and a regression model of exogenous fac⁃torsis constructed. The factors influencing the formation of evolution patterns are analyzed. [Result/conclusion] The re⁃sults show that there are different evolution patterns of research cooperation roles in the academic career, and different evolution patterns have different performance of research ability. In addition, some exogenous factors have a significant impact on the formation of evolution patterns.

[Purpose/significance] Drawing on a series of theories from behavioral economics, we aim to construct a theoretical framework for user health information search mechanisms. [Method/process] Firstly, the behavioral eco⁃nomics theories in existing information search research are reviewed, along with their theoretical contributions to the field of information search research. Subsequently, four components of users' health information search mechanisms were identified: alternatives, outcomes, likelihoods and values. Based on these, four research dimensions of health infor⁃mation search were organized: search or not to search health information, formulating health information search strate⁃gies, selecting health information (sources), continue or stop searching health information. Furthermore, a theoretical framework for users' health information search mechanisms was constructed on this foundation. [Result/conclusion]This study comprehensively addresses the uncertainty in health information search and users' bounded rationality,thereby constructing a research framework that encompasses three subprocess mechanisms: the initiation and termina⁃tion mechanisms of users' health information search, the formation mechanisms of users' health information search
strategies, and the judgment and selection mechanisms of users' health information. These three subprocess mecha⁃nisms clarify the following points, respectively: firstly, users' health information search behaviour is inherently based on the weighing of search costs and benefits; secondly, as cognitive load increases, users develop heuristic search strate⁃gies to simplify health information search; and thirdly, users' judgments and selections of health information are ofteninfluenced by heuristics and various cognitive biases.

[Purpose/significance] With the rise of generative AI, its role as a social actor is reshaping the process of in⁃formation acquisition. Against the backdrop of the uncertainty arising from human to human proxy search, exploring the influence of uncertainty on human to machine proxy search behavior from the perspectives of positive and negative emo⁃tions is of great significance for the further development of this technology. [Method/process] Based on the motivation⁃al information management theory, a research model was constructed, and a total of 13 research hypotheses were pro⁃posed. The data were collected using the questionnaire survey method and the critical incident technique. The relevant model calculations were carried out through the partial least squares structural equation modeling. [Result/conclu⁃sion] This study first reveals the correlation between the uncertainty differences, the low matching between information and tasks, and individual emotions. That is, an increase in uncertainty differences enhances individuals' negative emo⁃
tions and, correspondingly, reduces positive emotions. Under the influence of negative emotions, users lower their eval⁃uation of expected outcomes and effectiveness, thereby suppressing human to machine proxy search behavior. Although the low matching between information and tasks has no significant impact on the emotional state, it positively promotes human to machine proxy search behavior. Emotions have no significant impact on the results of human to machine proxy search behavior.