Integrated with theories of individual behavior formation in traditional behaviorism and features of SNS and its users, this paper analyzes formation principles and prcess of user knowledge contribution. And then it proposes mechanism model of user knowledge contribution. When researches the formation of contribution behavior, the authors analyze internal requirements and motives, external incentives, behavior intentions and the occurrence of contribution behavior.

[Purpose/significance] Based on media dependency theory, this study examines the different social infor⁃ mation avoidance strategies used by users with varying levels of social media dependence to the effects of mobile read⁃ ing. This study on social information avoidance as proactive strategy is of great significance for enhancing users’read⁃ ing experience, facilitating deep reading and cracking the cocoon of mobile reading. [Method/process] Using the me⁃ dia dependence theory and the quasi-experimental design approach, the study empirically analyzes the influence of so⁃ cial media dependence levels and social information avoidance strategy on mobile reading effect. [Result/conclusion] The results of the research indicate that social information avoidance has a positive impact on reading performance, but the impacts of social information avoidance strategies vary for users with different levels of social media dependence. Under the same avoidance strategy, for low- dependence group, the reading effect is better than high- dependence group. It is worth noting that people with high dependence on social media show a deeper reading immersion experi⁃ ence in the selective social information avoidance than in the complete avoidance situation, which has certain reference value of improving the efficiency of information service and the research and development of information products.

[Purpose/significance] In the era of comprehensive digital transformation and value release of data ele⁃ ments, data security governance has become extremely important. Therefore, focusing on the issue of industrial data se⁃ curity governance in complex information environments and exploring and proposing a complete industrial data securi⁃ ty governance system framework will help to reduce the risks of industrial data throughout the supply, circulation, and use processes, and promote the effective release of industrial data value and the implementation of industrial digitiza⁃ tion. [Method/process] On the basis of literature research and comparative analysis, this article defines the connota⁃ tion of industrial data security governance in complex information environments, uses blockchain, privacy computing, and data lake technology to build a underlying technical architecture, proposes administrative measures for security governance of industrial data supply, circulation, and usage ends, and constructs a framework for industrial data securi⁃ ty governance system with "core elements technical architecture administrative measures" as the core. [Result/conclu⁃ sion] This article systematically proposes industrial data security governance issues, governance methods, and system architecture in complex information environments. Taking the artificial intelligence industry as an example, while veri⁃ fying the feasibility of the governance system framework, it also elaborates on the operational process and guarantee strategies of the industrial data security governance system, providing guidance for effectively solving data security is⁃ sues throughout the entire process of industrial data elements in complex information environments.

[Purpose/significance] The widespread use of generative artificial intelligence has given rise to multiple da⁃ ta security risks. Traditional reactive and centralized governance models seem inadequate to address these new chal⁃ lenges. In contrast, agile governance, with its flexible approach, demonstrates a unique superiority. [Method/process] Firstly, a meticulous examination of the multifaceted risks in data security posed by generative artificial intelligence is conducted. Subsequently, a comparative analysis of the efficacy of three governance models in risk management is car⁃ ried out. It is suggested that China should promptly transition its governance model. Guided by this, a specific gover⁃ nance framework is constructed. [Result/conclusion] The agile governance approach, characterized by its adaptability, flexibility, and inclusiveness, offers a highly effective strategy for addressing data security risks associated with emerg⁃ ing technologies like generative artificial intelligence. It allows for the continuous optimization of the governance sys⁃ tem for generative artificial intelligence data security. Within the agile governance framework, it is essential to embrace the adaptive governance concept of "equal emphasis on prevention and response", construct a resilient governance mechanism that promotes "diverse participation and collaborative interactions"，and employ inclusive governance ap⁃ proaches that combine technology with legal measures. This way, a comprehensive framework for ensuring the security of generative artificial intelligence data is constructed.

[Purpose/significance] Since the 21st century, the themes, methods and applications of Knowledge Organi⁃ zation (KO) research have presented new features under the influence of the new generation of scientific and technologi⁃ cal revolution. By summarizing and refining relevant research topics and features abroad, this paper can provide refer⁃ ence for Chinese scholars in this field. [Method/process] This study first comprehensively collected the relevant litera⁃ ture of foreign KO from 2000 to 2022, and then used content analysis to code them one by one to obtain the characteris⁃ tics of research topics and research contents of KO. [Result/conclusion] Important findings of this study include: the KO research topics tend to be diversified, and the focus has shifted from digitization to dataization and semantics; the quality assessment of knowledge organization systems is emphasized; the organization method presents a coexistence trend of technology, crowdsourcing and experts; application areas has centered on scenario-oriented research. It is sug⁃ gested that Chinese KO research should: (1)focus on the construction of Chinese data infrastructure and promote the process of knowledge integration and association;(2)establish a reasonable evaluation system to improve KO quality; (3) accelerate the organization of intelligent data by "crowdsourcing + technology + experts"; (4)expand the application in specific fields to improve the service level.

[Purpose/significance] Identifying and reasonably applying dark data is beneficial for maximizing data val⁃ ue. [Method/process] Taking user retrieval behavior as an example, based on the elaboration of problem reconstruc⁃ tion ideas and methods, a framework design is carried out for specific application scenarios in public libraries. Key breakthrough technologies are discussed from three aspects: retrieval behavior reconstruction, dark data recognition, dark data evaluation and grading. [Result/conclusion] Based on the above ideas and methods, empirical research was conducted to identify and process dark data in the Wenjin search system of the National Library. The feasibility of rec⁃ ognizing and applying dark data in public libraries was demonstrated by constructing a user retrieval intention data⁃ base, constructing a user retrieval trend analysis tool, and implementing data protection through reverse utilization of dark data.

[Purpose/significance] Improving the older adults’digital literacy is necessary to bridge the social digital divide and promote digital inclusion. Singapore government's initiatives and successful experience to improve older adults' digital literacy can provide references for the top-level design, project development and implementation optimi⁃ zation of the government of China. [Method/process] Based on literature, this paper conducts an in-depth investiga⁃ tion on Singapore government and older adults service websites, obtains the government-issued policy on older adults’ digital literacy and the information of its leading projects, and systematically sorts out the key initiatives. [Result/con⁃ clusion] Singapore government's core initiatives to improve older adults' digital literacy include formulating policies, setting up specialized agencies and service teams, establishing platform for digital skills learning and communication, and providing financial and equipment support. These initiatives led by government and widely participated by various social forces, are characterized by paying attention to the role of generations and peers, combining online and offline learning models, and obtaining multi-party financial and technical support. According to the present situation of prac⁃ tice in our country, the government is supposed to give full play to its functions and integrate superior resources of vari⁃ ous social parties, design practical projects with nationwide influence, expand the platform of learning digital skills for older adults, and increase financial support and supply of age-friendly smart devices.

 [Purpose/significance] Scientific research integrity is the cornerstone of scientific and technological inno⁃ vation. With the popularization of data-driven research paradigm, the proportion of scientific research misconduct such as data falsification and tampering has increased significantly, highlighting the close internal relationship between sci⁃ entific research integrity management and scientific research data management. [Method/process] This paper compre⁃ hensively uses system analysis method, case analysis method and comparative analysis method to analyze the interac⁃ tive strengthening effect and gradual accumulation effect of the linkage development of scientific research integrity man⁃ agement and scientific research data management, and then discusses the current predicament of scientific research in⁃ tegrity management from the six elements of subject, object, rule, technology, community and division of labor and their interactive relations under the guidance of activity theory. [Result/conclusion] This paper builds an explanatory frame⁃ work for scientific research integrity management from the perspective of data management, and puts forward a joint de⁃ velopment path of integrity management and data management, including promoting the overall layout of scientific integ⁃ rity management with complete data system, promoting the system construction of integrity management with high data quality, and deepening the internal driving force of scientific integrity management with efficient data development.

[Purpose/significance] A comprehensive analysis of the complexity of data problems and the deep logic be⁃ hind them has important theoretical and practical guiding significance for grasping the core crux of scientific research data management and improving the scientific research data management performance. [Method/process] This paper uses Bourdieu's "field- habitus" theory to break through the limitation of traditional binary opposition, and aims to deeply reveal the practical problems of data power, subject behavior and resource allocation in scientific research data management.By selecting the retraction papers of periodicals included by WOS and Retraction Watch as the analysis objects, and using statistical analysis, comparative analysis and scientometrics methods, it is found that the current sci⁃ entific research data management problems in China were generally showing a trend of excessive growth, variable type, complexity hierarchy, intertwined reasons, plural subject, and wide distribution. [Result/conclusion] The results show that, data problem mapping scientific research data management value deviation, and the differential mode of associa⁃ tion in scientific research data management subject、the poor data management practices habitus、profit-seeking behav⁃ ior、absence of policy supervision. Therefore, the scientific research data management in China should address both symptoms and root causes. It is necessary not only to effectively optimize the academic evaluation system, improve the management system of scientific research integrity, but also to balance the incentive and distribution pattern of scientif⁃ ic research data management, improve data literacyand the scientific research data management system.

[Purpose/significance] "Event" is the core concept of human social activities and the key element of intelli⁃ gence activities. With the development of machine learning, big data, artificial intelligence and other emerging technol⁃ ogies, a new technology with event as the research object, named "Event Evolution Graph" (EEG), comes into being. This paper sorts out and summarizes the research advance of the EEG, so as to provide reference for the research and application of this technology. [Method/process] The concept, research status and key technologies of the EEG were investigated, analyzed and summarized based on literature research. Firstly, this paper introduces the basic concept and research status. Then, the overall technical framework is summarized and the key technologies related are dis⁃ cussed in detail. Finally, the challenges faced and future prospects of the EEG are proposed. [Result/conclusion] At present, information science research is gradually changing from static object to dynamic object knowledge manage⁃ ment with event as the core. Since it was first proposed in 2017, the EEG has gradually attracted extensive attention from academia and the industry, and has achieved application results in various fields, which will provide strong techni⁃ cal support for the research of information science in the future.

[Purpose/significance] Identifying and evaluating online high-quality advices in crisis situations and ob⁃ taining valuable and usable information can help management departments find solutions to the crisis and solve the cri⁃ sis effectively. [Method/process] According to the characteristics of online advice in crisis situations, this study con⁃ structed a Long Short Term Memory(LSTM)-based user suggestion identification model. Based on the Elaboration Like⁃ lihood Model and the Advice Response Theory, this study built a user advice quality assessment system from two dimen⁃ sions of information quality and source quality. The system consists of indicators such as timeliness, relevance, urgency, and so forth. Taking the public event of“the 49th High School Student in Chengdu Falling from a Building on May 9th”, 2021 as an example, this study identified and evaluated the user advices, ranked and analyzed the distribution of quan⁃ tity and content themes. [Result/conclusion] The online user advices in crisis situations can be classified into highquality advices, usable advices and ordinary advices. The quantitative distribution of the three types of advices and the thematic distribution of their content have different characteristics at different stages of the crisis life cycle. According to these characteristics, this study puts for ward suggestions for management departments to apply user advices and opti⁃ mize the crisis response process.

 [Purpose/significance] Explaining structure and evolution of science data policy can promote the construc⁃ tion of science data management system and improve the level of open sharing of science data. [Method/process]This paper constructs a three-dimensional analysis framework based on policy citations, policy subjects and policy themes, and uses the literature research method and social network analysis method to explore the structure and evolution of central level science data policies from 2001 to 2022. [Result/conclusion] It is found that the policy evolution can be divided into four stages: the initial stage, the development stage, the transitional stage, and the innovative stage; at the policy networks of the four stages, the structural features of policy citations, subjects and themes are different. The sus⁃ tainable development of policies benefits from legal protection and top-level planning, the division and collaboration government departments, and the coordination of science data sharing platform and system. To create open and shared science data ecology, the governments should formulate science data strategic plan, build a national integrated science data sharing platform, and accelerate the construction of data security system.

[Purpose/significance] As an important branch of local chronicles, landscape chronicle contains rich his? torical resources of landscape culture. Semantic knowledge association of its historical data has positive significance for its development and utilization in the digital age. [Method/process] Based on the construction of the semantic knowl? edge association framework of landscape chronicle historical resources, the paper takes "Shahu Zhi" as an example to conduct empirical research. On the basis of data collection and analysis, an ontology model framework is constructed to realize knowledge in the field of landscape chronicle historical resources. The standardization and remodeling of con? cepts, based on the Drupal content management platform for linked data application to realize the relational release of the relationship between the concepts of landscape chronicle historical resources, is combined with the graph database Neo4j to build a knowledge graph to realize multi-dimensional knowledge discovery. [Result/conclusion] Taking "Sha? hu Zhi" as the object, the empirical research verifies the rationality of the semantic knowledge association framework of the landscape chronicle historical resources, and provides a feasible implementation plan for the landscape chronicle historical resources from collection and description to organization and publication, and even knowledge discovery. This research provides a reference value for the semantic organization of historical materials in the field of local chroni? cles, and also provides a new research perspective for the development and utilization of local landscape culture.

[Purpose/significance] In the face of the unprecedented changes brought about by the advancement of AI and the development of large language models like ChatGPT in the field of information science, the effectiveness and re? liability of generative AI large language models in performing typical tasks in the field of information science are ana? lyzed in many ways, in order to provide advice for efficiently utilizing their abilities to assist scientific research and practical work. [Method/process] Questions were formed by combining the research and practical work content of vari? ous topics in the information field. Tests, comparisons and prompt engineering explorations were carried out on Gpt3.5-Turbo and ChatGLM-6B respectively, and experts-based rating method is used to score, then analyze and evalu? ate the nine abilities of large language models in detail. [Result/conclusion] The large language model has shown strong ability in performing most typical information tasks. Using the prompt engineering can greatly improve the supe? riority of the large language model. Combining external tools can effectively make up for the shortcoming of the large language model itself. Fully exploiting the potential of a large language model will bring about a huge improvement in information work efficiency.

[Purpose/significance] Artificial intelligence technology is changing rapidly, ChatGPT is driving the trans? formation and development of all walks of life, and the knowledge organization environment has undergone tremendous changes. In this context, it is of great significance to analyze the effectiveness of ChatGPT for knowledge organization tasks and explore the ways and means of knowledge organization and new generation AI integration to promote innova? tion and development in the field of knowledge organization. [Method/process] Taking the knowledge organization sys? tem and actual business as the reference frame, 8 types of experimental tasks such as document description, indexing, and ontology construction are designed. After ChatGPT completes the task according to the prompts, evaluate its com? pletion effect, and then think about the role of ChatGPT in the field of knowledge organization and the future develop? ment trend of knowledge organization. [Result/conclusion] ChatGPT has strong adaptability, but its creativity is limit? ed, and it cannot directly generate usable products in the face of complex knowledge organization tasks. The future de? velopment of the field of knowledge organization needs to give full play to the innovative ability of professionals, and constantly explore the theoretical system and rules and methods for the deep integration of knowledge organization and generative AI such as ChatGPT.

[Purpose/significance] This study aims to explore the effectiveness and feasibility of using ChatGPT for evaluating the innovativeness of academic papers. If generative artificial intelligence, represented by ChatGPT, can be employed for paper innovativeness assessment, it has the potential to significantly improve the efficiency of innovative? ness evaluation. [Method/process] By simulating real-world demands and application scenarios for evaluating paper innovativeness, we conducted over 24 rounds of innovativeness evaluation experiments across six research domains: life sciences, cellular immunology, marketing, economics, artificial intelligence, and information resource management. Content analysis was employed to thoroughly examine the text generated by ChatGPT during the process of evaluating paper innovativeness, enabling us to study its approach, criteria, and feasibility. [Result/conclusion] The study re? vealed that ChatGPT demonstrated excellent performance in the task of evaluating paper innovativeness, displaying high comprehensiveness and scientific rigor in its evaluation methods and criteria. It effectively accomplished paper in? novativeness evaluations across these research fields. At present, while ChatGPT's stability, accuracy, and authenticity may have some minor limitations, it can still be considered an efficient auxiliary tool for evaluating paper innovative? ness in relevant tasks. The identified shortcomings of using ChatGPT for paper innovativeness evaluation are likely to be gradually addressed with the advancement of prompt engineering, opening up of Internet access, and increased avail? ability of academic databases.

[Purpose/significance] Methods lay the foundation of industrial technology information analysis. New infor? mation technology such as big data and AI technology promotes the development and innovation of methods. The paper aims to present the status quo and development trend of industrial technology information analysis methods which is crucial to construction of industrial technology information analysis method system and improve the level of industrial technology information analysis under data-intelligence era. [Method/process] The paper starts with tasks of industri? al technology information analysis, associates the industrial technology with tasks using four quadrant analysis ap? proach, then analyzes the status quo and gives the future development trend of industrial technology information analy? sis methods. [Result/conclusion] Based on situation analysis, identification analysis, predication analysis, evaluation analysis, innovation analysis, the paper presents the current status of industrial technology information analysis meth? ods. Under data-intelligence era, the characteristics of future trend of industrial technology information analysis meth? ods include: methods should utilize and integrate big data and big knowledge，collaborative development between infor? mation analysis methods and technology & industry，focus on evaluation and commercial application of analysis results. 

[Purpose/significance] The paper mainly discusses the characteristics of related multi- dimensional dy? namic big data and its utilizations in the emerging technology prediction. This research helps to integrate multi-dimen? sional dynamic big data and then provide frame support for emerging technology prediction. [Method/process] This pa? per firstly proposes a multi-dimensional dynamic big data association structure by exploring and analyzing the knowl? edge characteristics and complementary advantages of patent big data, paper big data, reward big data and economic big data. On this basis, the emerging index of a given industrial technology is quantified through a comprehensive analy? sis of "people" and "things". [Result/conclusion] The experiment results shows that prediction and analysis frame? work proposed in this paper makes full use of multi-dimensional dynamic big data information, which has high knowl? edge density and breadth, and this can provide more comprehensive multi-modal decision support for emerging tech? nology prediction.

[Purpose/significance] Intelligence analysis in the era of big data faces many challenges such as complex analytical methods, difficult to understand technology, and difficult to interpret results. Interpretability technologies are technical means that enable users to understand and trust the decision-making results ofintelligence analysis. [Meth? od/process] The paper first introduces the development trend of intelligence analysis activities, and expounds the inter? pretation necessity of intelligence analysis process from four aspects:intelligence information acquisition, intelligence processing, intelligence analysis and decision-making services. Then, the interpretation types of intelligence analysis methodsare elaborated, including the combination of global interpretation and local interpretation, post-hoc interpreta? tion, swarm intelligence decision interpretation and people- oriented interactive interpretation. [Result/conclusion] The interpretation technologies of information analysis methods in the field of intelligence include causal inference, fea? ture importance analysis, rule interpretation, knowledge reasoning, and visual analysis. Commonly used intelligence analysis interpretation evaluation methods include qualitative analysis based on subjective judgment, semi-quantita? tive analysis based on heuristics, and quantitative analysis based on index evaluation. Finally, the main interpretable techniques of intelligence analysis in different fields and research issues that should be emphasized in the future devel? opment are summarized.

[Purpose/significance] The development of AI has been constantly shaping the experience of human-AI in? teractions. From the early stage of chatbot ELIZA to the recent AI application ChatGPT, various AI-powered applica? tions demonstrate significant progresses in human language understanding and generating and reasoning. When AIGenerated Content (AIGC) becomes increasingly close to human generated content, the nature experience of human-AI interaction not only provides users with convenient information services but also invites challenges of credibility issues. Therefore, there is a pressing need to revisit the assessment of AI credibility based on socio-technical perspectives. [Method/process] The study employs a normative analysis approach, synthesizing the literature of credibility and AI research to achieve several normative statements about AIGC credibility assessment. First, the article discussed the conceptualization of AIGC credibility. Moreover, the article pinpointed AIGC credibility by examining AI functionatin? gas information sources,interactivity, social actors,and users’algorithmic metaphor. [Result/conclusion] First, the arti? cle proposes that the concept of AIGC credibility should incorporate the dimensions of AI explainability. Moreover, the article proposes that AIGC credibility assessment should compass the holistic view of AI functionating as content gener? ator and technological medium, integrate view of AI affordances and generative affordances from third-party interfaces, underline the anthropomorphism view of regarding AI as a social actor, and encompass the consideration of users’algo? rithmic literacy by identifying and taking care of the low-literacy users.

[Purpose/significance] By sorting out the relevant empirical research literature on smartphone addiction and analyzing its influencing factors and regulatory variables, it is helpful to deeply understand the incentives, process? es and consequences of this behavior, so as to provide new thinking and inspiration for future research in this field. [Method/process] Weight-analysis and meta-analysis were combined to carry out a comprehensive quantitative analy? sis, through coding and selection of domestic and foreign empirical research literature on smartphone addiction, 81 re? search samples were included in the analysis category, using heterogeneity test, publication bias test, global effect test and moderating effect test, to reveal the effect of influence factors and moderating variables of smartphone addiction. [Result/conclusion] The influencing factors of smartphone addiction included three categories: personality factor, emo? tion, and cognition factor, and habitual use and attitude factor.Self-esteem, self-control, conscientiousness, perceived social support, agreeableness, and self-efficacy were significantly negatively correlated with smartphone addiction, a to? tal of 19 influencing factors such as missed anxiety, depression, anxiety, and smartphone use frequency were signifi? cantly positively correlated with smartphone addiction.Moderating variables such as cultural characteristics, subject groups and user gender can explain the heterogeneity of the relationship between some influencing factors and smart? phone addiction in different research samples to some extent. The 15 "best predictors" in the 28 groups of variable rela? tionships can be directly used to guide practice, and the 8 "potential predictors" need further academic research to test their explanatory power for addictive behavior. The conclusions of this study can provide enlightenment for the next re? search in this field at the theoretical level, and provide valuable implications for the prevention, intervention, and health guidance of smartphone addiction at the practical level.

［Purpose/significance］Medical crowdfunding projects often use slogans related to social norms to urge people to donate, but visitors often avoid the message. Therefore, it is necessary to investigate whether the presence of social norms affects individuals' willingness to avoid information and its possible influencing psychological mecha? nisms.［Method/process］A " cognition–affect–conation " framework was introduced as the basis for the research model, with social norms (descriptive norm and injunctive norm) as independent variables, fatigue, anxiety and guilt as mediating variables and willingness to avoid information as dependent variables. A between-group experiment was de? signed and hypothesis testing was conducted.［Result/conclusion］The results show that fatigue and anxiety increase an individual's willingness to avoid information, while guilt reduces an individual's willingness to avoid information. So? cial norms can elicit emotions, but there are differences in the emotions elicited by different social norms. Among them, descriptive norms are more likely to cause fatigue and anxiety, while injunctive norms are more likely to cause guilt. The findings deepen the understanding of information avoidance behaviour, enrich the literature on medical crowdfund? ing research and provide guidance on how medical crowdfunding platforms and helpers can more effectively use social norms in practice.

[Purpose/significance] Data circulation and sharing is the pillar of global data economy development and the key of technological innovation, and it is also one of the important contents of actively participating in the reform and construction of the global governance system and practicing the global governance concept of consultation, co-con? struction and sharing. How to solve the trust obstacle in the process of data circulation and sharing is an important issue to promote the construction of China's data factor market. [Method/process] This paper focuses on the data intermedi? ary service proposed by the Data Governance Act, sorts out and summarizes the concept connotation, form and concrete practice of the new data sharing mechanism in the European Union, and provides reference for the practice of data ele? ment circulation and sharing in China. [Result/conclusion] The article puts forward that China can improve the toplevel policy design, eliminate trust barriers in data circulation and sharing, and develop diversified data intermediary services to promote the market-oriented circulation of data elements.

[Purpose/significance] In the context of the rapid development of artificial intelligence technology, algo? rithms have become an indispensable "behind-the-scenes partner" for people to obtain and use information. However, the negative effects of algorithm use are gradually disclosed, and the corresponding people's knowledge and understand? ing of algorithms are scarce. The analysis of the composition of algorithm awareness and the mechanism of its role in al? gorithm interaction is conducive to the search for ways to cultivate algorithm awareness and enhance the adaptability of the public to changes in the technological environment. [Method/process] This study focuses on digital natives who are highly adaptable to the digital environment and interact more frequently with algorithms. 29 international students in China were interviewed, and the interview data were coded at three levels using rooting theory to discover the compo? nents of algorithmic awareness and their mechanisms of action. [Result/conclusion] This study finds that the current algorithm awareness of digital natives consists of concept awareness, data awareness, function awareness and risk awareness. Digital natives enter the algorithmic environment through platform selection, realize algorithmic interaction, and form algorithm awareness in the process of interaction. Algorithm awareness is the source of their algorithmic atti? tudes and works together with algorithmic attitudes to influence digital natives' algorithmic management behaviors. The mechanism of the role of algorithm awareness is clarified, and strategies for cultivating algorithm awareness is proposed based on this.

[Purpose/significance] A comparative study on the strength of cross-platform user information filter bub? bles in the era of digital intelligence, to explore the differences and complementarities of similar content intelligent dis? tribution platforms, will help platforms and users to take effective measures to break the filter bubbles and improve in? formation diversity.[Method/process] Combined with LDA topic model and information entropy theory, taking 30746 user text comments as a sample, measuring the filter bubble strength of user information on Toutiao and Tencent News, and comparing and analyzing the similarities and differences between cross-platforms. [Result/conclusion] The study found that the two platforms did not cause users to fall into filter bubbles, but increased the diversity of user informa? tion, and the improvement of Toutiao was greater than that of Tencent News. In addition, the information of the two plat? forms is complementary, and the combined use of two platforms helps to improve the diversity of user information.

[Purpose/significance] The paper aims to explore how the discipline of information resource management serves the national strategy and how the national strategy determines the research fields of the discipline. [Method/pro? cess] The paper compares the nine academic hot topics of information resource management discipline with the policy texts related to 40 national strategies, and adopts the coding method of content analysis. [Result/conclusion] The pa? per establishes a mapping relationship between academic research and national strategy, and combs the support and im? pacts of key academic research achievements on national strategy from five dimensions, discipline, industries, institu? tion, information, and user.

[Purpose/significance] This paper aims to analyze the reality, possibility and necessity of building an inde? pendent knowledge system of information resource management with Chinese characteristics through the inspecting of the annual academic focuses. [Method/Process] Through the analysis of the internal logic relationship of the ten aca? demic hotspots in 2022, this paper shed light on the background, policy implications, endogenous dynamics and under? lying logic of building the independent knowledge system of information resources management with Chinese character? istics. [Results/Conclusion] The renaming of the discipline provides a valuable opportunity to build an independent knowledge system of information resources management with Chinese characteristics. A series of top- level designs such as the cultural digitalization strategy provide policy guidance for building an independent knowledge system of in? formation resources management. Cultural self-confidence and technological drive have given inexhaustible impetus to the construction of an independent knowledge system of information resources management with Chinese characteris? tics. Besides, academic ideas such as the hierarchical social cognitive theory, which have the adaptability to the local situation in China, also provide the underlying logic for building the independent knowledge system of information re? sources.

[Purpose/significance] Digital empowerment concerning people’s life and health has an important role in older adults' value realization in their first experience of digital life. From the perspective of affordances, we can under? stand the action possibilities provided by technical features for elderly users, and guide the aging-friendly design of mHealth in terms of value realization and subjective well- being improvement for elderly users. [Method/process] From the technical perspectives of mHealth and the cognitive perspectives of elderly users, this study proposed four ag? ing-friendly affordances, constructed a structural equation model, and conducted an empirical analysis to explore the important role of mHealth’s aging-friendly elements in the realization of personal value and subjective well-being of elderly users. [Result/conclusion] The results showed that there were positive relationships between the mHealth’s ag? ing-friendly affordances and the elderly users’value realization, and the realization of elderly values had a positive im? pact on their subjective well-being. This paper expanded the application of the affordance theory in aging-friendly de? sign and proved the realization way of aging-friendly design for aging users’value realization and subjective well-be? ing from the perspective of practice.