[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] 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 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] 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] The proposal of Metaverse stimulates the vitality of knowledge exchange and scien? tific research innovation in the field of university libraries, and provides new ideas for the reform and innovation of the service model of document information resources in university libraries. [Method/process] The article reveals the phil? osophical form of the symbiosis between the real world and the virtual world in the Metaverse, applies the basic logic of field theory to the exchange of subject knowledge and the interaction of subject resources, and uses qualitative analysis to dig deep into the literature of university libraries. The environment, users and resources of the information resource service are the three driving forces of demand, and on this basis, an innovative service model for academic library litera? ture and information resources that integrates smart space services, user customization services and resource platform services under field interaction is constructed. [Result/conclusion] Starting from the concept and technical characteris? tics of the Metaverse, which is the coexistence of reality and reality, this paper sorts out its potential driving force in the service of literature and information resources in university libraries,and provides a reference for the transformation of university libraries from resource capabilities to service capabilities.

[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] To interpret the Law on the Protection of Personal Information in a doctrinal way and comprehend its legislative value, jurisprudential orientation and rule of law concept. [Method/process] To ana? lyze the legislative text of the Law on the Protection of Personal Information as the object of study and understand how it designs the rights of personal information, balances the relationship between multiple interests, regulates the behavior of information handling, unifies the national regulatory system, and clarifies the space of legal application. [Result/con? clusion] The Personal Information Protection Law takes humanity as its legislative value, deal the issue of personal in? formation protection directly, give the right to personal information protection and coordinates the relationship between multiple information interests. The Law on the Protection of Personal Information reflects the jurisprudential orientation of the times, adapts to the differences of information and subject types, and enhances the effectiveness of the law; imple? ments regulation, clarifies regulatory departments, specifies regulatory space, regulates regulatory initiatives and main? tains the order of the rule of law. The Law on the Protection of Personal Information manifests the open concept of rule of law, strengthens the legal effect of extraterritorial application, connects with the international track, and establishes external claims; builds the pattern of social co-governance in the region, consolidates the foundation of social co-gover? nance, and clarifies the rules of social co-governance.

[Purpose/significance] The research in the field of health informatics is developing rapidly, but the con? struction and research of theoretical system is still deficient in this field. This research aims to build a systematic theo? retical framework for health informatics research by reviewing the current situation of empirical-based theoretical ap? plication research in health informatics abroad, so as to provide a reference for the development of paradigm for related research. [Method/process] A total of 91 empirical-based research papers on theoretical applications in health infor? matics were retrieved from Web of Science, PubMed, and Scopus databases, and the theoretical sources, types, applica? tion objects, and research themes in the studies were analyzed using bibliometric methods and content analysis, and then cluster and condense the framework of the theoretical application research in health informatics. [Result/conclu? sion] The results showed that health informatics theoretical research focuses on the application of theories from related disciplines or interdisciplinary fields, while lacks the exploration and research of basic theories. Moreover, the research on the application of theories lacks systematicness, wholeness, and logic. This study integrates the existing researches on the application of theories in health informatics by condensing a theoretical application research framework that con? tains four elements (user, information, system, and environment) to provide a reference for the theoretical foundation and applied research of health informatics.

[Purpose/significance] Considering the situation of public health emergencies, this study explores the con? tent characteristics and the quality of public health emergency information disclosure on the government portals of Prov? ince J, H and Y. [Methods/process] The study adopts a multiple- case approach and content analysis. A coding scheme was developed to examine the content characteristics in terms of the breadth and depth of information disclo? sure, and the topics of information disclosure were also compared with the related laws and policies. In this way, the study evaluates the quality of public health emergencies related information disclosure. [Results/conclusion] The re? sults indicate that the information disclosure of public health emergencies focuses on general information, but ignores information for notification, service and publicity. Both of the breadth and depth of information disclosure content need to be promoted. Some types of information disclosure do not satisfy the requirements of related laws and policies. There? fore, the standardization of information disclosure is called for. The study provides insights for government information disclosure for public health emergencies and helps improve relevant laws and regulations, so as to improve the quality of information disclosure.

［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] The goal of improving the current guaranteeevaluation system of literature resourc? es in disciplines can provide strong support for the national "double first-class" construction,the construction of Chi? na's independent knowledge system and modernization of literature guarantee ability, and by reviewing the research re? sults of literature resource guarantee evaluation for discipline construction in China, it can provide reference for promot? ing the development ofrelevant theoretical research and practice.[Method/process] On the basis of analyzing the im? portance of literature resource guarantee evaluation to discipline construction, the current research progress is sorted out from the macro and micro aspects of evaluation scale, evaluation perspective, evaluation object, evaluation index and evaluation method, and the future feasible development directions are proposed for the current research.[Result/ conclusion] At present, China has conducted extensive research on the topic of literature resource guarantee evalua? tion of university libraries, and it has been deepened and refined with the changes in the form and service mode of li? brary literature resources, but the evaluation research on the characteristics of literature resource guarantee for differ? ent institutions and different discipline construction requirements is still in the initial stage, and it is still necessary to improve the research level of literature resource guarantee evaluation for discipline construction in terms of refining the evaluation scale, integrating the evaluation perspective, expanding the evaluation objects, optimizing the evaluation in? dexes and updating the evaluation methods.

[Purpose/significance] Subject librarian is the main force of library development and subject construction. At present, there are some problems in the professional construction of subject librarian in China, such as low profes? sional level, lagging professional development, and lack of management system. How to effectively promote the profes? sional development of subject librarian has triggered academic thinking. [Method/process] The article lays a theoreti? cal foundation by analyzing the career evolution of subject librarians; Then combine the recruitment data of subject li? brarians in some famous universities at home and abroad to explore the construction of the subject librarian system in domestic double-top universities, and analyze the practical needs for the development of professional ability of subject librarians; Finally, the paper puts forward the optimization path of subject librarian career construction that meets the needs and promotes development. [Result/conclusion] Based on the professional needs and development of subject li? brarians, libraries should formulate scientific professional development system and professional ability promotion strat? egies for subject librarians from four aspects: optimizing the ability system, strengthening knowledge management, im? proving talent training, and paying attention to attitude guidance, so as to cultivate high-quality subject librarian talent team, and help the national scientific research development and economic prosperity.

[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] 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] Taking the resources construction of Beijing Institute of Fashion Technology Li? brary as an example, this paper analyzes the resources construction strategies of university library under the back? ground of interdisciplinary, in order to promote the scientific and standardized level of resources construction of art uni? versity library, provide a strong basis and guarantee for the medium and long-term development plan of the library. [Method/process] Taking Beijing Institute of Fashion Technology as an example, based on the reform and develop? ment of new arts, this paper applies the basic theory of resources construction to the specific library practice, studies the practice of resources system construction from the aspects of resources construction, acquisition system, collection evaluation, puts forward the resources construction strategies of art university library facing interdisciplinary develop? ment. [Result/conclusion] Under the background of interdisciplinary development, libraries should build the resource system to meet the needs of cross integration development of new arts, implement the resource acquisition system based on the open- share concept, and improve the resource performance evaluation system from quantity based to service based.

[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 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] 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] This article aims to employ the STS (Science, Technology and Society) theoretical perspective to analyze the top ten academic hotspots in information resource management discipline from 2019 to 2023. [Method/process] The paper selects the STS subsystem analysis mode to discover the distribution of the top ten aca⁃ demic hotspots in different relational dimensions, and combines the trajectory of the relationship between science, tech⁃ nology, and society in the development history of the discipline to determine the distribution pattern and future direc⁃ tions of academic hotspots. [Result/conclusion] The development history of the discipline of information resource man⁃ agement and the top ten academic hotspots in the past five years have revealed the essential characteristics of the disci⁃ pline being driven by society. Scientific research in this field tends to respond to and solve social problems, and pays more attention to the impact of technology on society. However, the two paths of society and science on the shaping of technology have not been emphasized by the discipline of information resource management in the past.