[Purpose/Significance] As the key basis for the cataloguing in publication program, the national standard Cataloguing in Publication Data (GB/T 12451-2023) has been officially released after comprehensive and in-depth revision. The analysis of the revision content, changes and features of the new CIP standard can help relevant fields to understand the content and rules of the new CIP standard more comprehensively, and promote the implementation and development of the standard. [Method/Process] This paper reviewed the development of CIP program at home and abroad, summarized the revision process and main content of the new CIP standard, analyzed its important changes from four aspects, and explored its features. [Result/Conclusion] The major changes of the new CIP standard are reflected in four aspects: the supplement and revision of terms, the refinement of descriptive data content and indexing rules, the modification of access data content and indexing rules, and the simplification and adjustment of printing content and format. The revision of CIP standard is of great significance to meet the development needs of bibliographic data in the new era, further standardize and improve the quality of CIP data, promote the cross-industry co-construction and sharing of bibliographic data, and promote the digital development of CIP data in the future.

[Purpose/Significance] Research on the applications, risks, and governance of Artificial Intelligence Generated Content (AIGC) contributes to understanding the future development direction of artificial intelligence. It provides references for relevant emerging thematic studies. [Method/Process] Using CNKI (China National Knowledge Infrastructure), Wanfang, Web of Science, ProQuest, and ScienceDirect as data sources, this study collected literature related to AIGC, analyzed the current applications and associated risks of AIGC across various fields, and proposed governance objective for AIGC. [Result/Conclusion] AIGC has achieved certain accomplishments in fields such as healthcare, journalism, academia, education, and the arts, while concurrently facing interrelated risks from the technical, individual, and societal levels. This paper constructs a “Human-centered” AIGC service system model and proposes specific governance measures for technical control and personal enhancement at the internal cyclical symbiosis level, as well as specific measures for policy formulation and social guidance at the external control guidance level, to guide the design, application, and development of generative artificial intelligence.

[Purpose/Significance] Digital feedback is a teaching and supporting behavior of the younger generation to the older generation in digital access, use and literacy. It has become an important path to bridge the intergenerational digital divide and promote digital inclusion in the context of social digitalization and aging population. Systematically revealing the research progress of digital feedback at home and abroad can provide useful reference for further promoting the research and practice of digital feedback. [Method/Process] Systematic review and content analysis methods were used to sort out and review literature related to digital feedback. [Result/Conclusion] The main content of digital feedback research involves seven aspects: concerned groups, dimensions and contents, occurrence fields, formation process, influencing factors, value utility and promotion strategies. Based on the logical integration of research contents, the “5W1E1H” framework of current digital feedback research is formed, and relevant topics should be continuously promoted from theoretical research and practical action in the future.

[Purpose/Significance] The construction of quality evaluation index system of AIGC is helpful for users to identify high-quality AIGC and AIGC service providers to improve content quality. [Method/Process] The original data were obtained through literature retrieval and user interviews, and were encoded at three levels based on grounded theory to extract the quality evaluation indexes of AIGC. On this basis, a questionnaire survey and analytic hierarchy process were used to determine the weight of each index, and the quality evaluation index system of AIGC was constructed. [Result/Conclusion] The quality evaluation index system of AIGC includes 4 first-level indexes such as content characteristics, expression characteristics, utility characteristics and technology characteristics, along with 21 second-level indexes such as personalization, efficiency, intelligibility and interpretability. Among these, content characteristics have the highest weight and the greatest impact on AIGC quality. In addition, the study finds that AIGC, PGC and UGC have some similarities and differences in the evaluation of information quality. Traceability, humanism, plasticity and interpretability are unique indexes of AIGC quality evaluation.

[Purpose/Significance] Against the backdrop of global technological competition and educational reform, higher education institutions need to keep pace with the forefront of international scientific research to achieve synchronized upgrading of their disciplinary development strategies. Taking the Environment/Ecology discipline of Dalian University of Technology as a case study, the purpose of this research is to construct a systematic analytical framework aimed at accurately identifying ESI-selected research frontiers and assessing their alignment with the disciplinary directions of universities. The core significance of the study lies in promoting disciplinary innovation and the improvement of educational quality, while also providing decision support for strategic planning in higher education institutions. The key issues addressed in this paper include: how to identify and connect disciplinary development with the international scientific research frontier, and how to analyze the academic achievements of the Environment/Ecology discipline at University D in depth, to explore the potential for disciplinary development, address challenges, and provide data-driven strategic recommendations for disciplinary construction and scientific research management. The aim is to assist universities in promptly grasping the trends of international scientific research, exploring emerging areas within disciplines, and optimizing their own disciplinary construction. [Method/Process] The study focuses on the ESI research fronts in environment/ecology and the corresponding discipline papers from University D over the past 10 years. Utilizing e Python, the study employs cutting-edge techniques such as text mining, machine learning, and graph analysis to conduct multidimensional analysis of disciplinary alignment and differentiation. [Result/Conclusion] The parallel use of keyword matching, LDA (Latent Dirichlet Allocation) model, and knowledge graph analysis can serve the planning of ESI fronts and the strategic development of universities comprehensively and accurately, providing a reference for scientific research management.

[Purpose/Significance] To explore the role of librarians in the context of generative AI, this article proposes a professional skills system for librarians, and promotes the intelligent development of libraries. [Method/Process] Based on relevant research literature, a keyword co-occurrence network graph was constructed using the visualization tool VOSviewer. The evolution of librarians under the changes of professional generated content (PGC), user generated content (UGC), and artificial intelligence generated content (AIGC) were sorted out, and their future role, professional skills, and development were explored. [Result/Conclusion] In the context of generative AI, the future role of librarians is positioned as quality inspectors of data and information, navigators of knowledge, and disseminators of wisdom. They should build cognitive skills based on critical thinking, co-creation skills based on actor network theory, and professional skills based on information lifecycle management.

[Purpose/Significance] Computational reproducibility is the cornerstone of reliable and credible research. To investigate and analyze data policies, data availability and reproducibility methods of journals and conferences in computing field can provide references for promoting data sharing and solving computational reproducibility issues. [Method/Process] With web survey research and content analysis method, it analyzed journal data policies and conference data policies. It used web crawler to obtain data availability statement of journal article and analyze the current situation of data availability. Then, it summarized computational reproducibility methods. [Result/Conclusion] Most journals and more than half of the conferences in computing field have data policies, but the intensity of data sharing attitudes still needs to be improved. Journals or conferences with higher level are more likely to have data policies. Compared with journals focusing on data sharing issues, conferences pay more attention to the problem of computational reproducibility. The data availability statement promotes data sharing, but there is still a gap between data sharing practices and data sharing policy requirements. Computational reproducibility methods include data sharing, expert review, setting rewards, paper submission checklist, calling for reproducibility papers and so on.

[Purpose/Significance] This paper Starting from the field of humanities and social sciences, this paper compares the model performance of humanities and social sciences from the aspects of basic knowledge and academic texts. It aims to provide a systematic large language model evaluation benchmark for the humanities and social sciences, and the reference for researchers in related fields. [Method/Process] Seven evaluation tasks related to the field of humanities and social sciences were designed and corresponding indicators were selected. On this basis, the current open-source and high-performance general-purpose domain Chinese large language models were selected to complete the domain-specific tasks in the form of questions and answers by invoking the local models, and their performance in humanities and social sciences was quantitatively evaluated by selecting relevant indicators. [Result/Conclusion] The evaluation results show that among the open-source models selected in this paper, Qwen has the best performance, followed by Baichuan2, InternLM, and Atom has the worst in both the base model and the dialog model. Moreover, in most cases, the dialog model shows more superior performance compared to the base model.

[Purpose/Significance] The concept of data element is a significant theoretical innovation firstly proposed in China.This study systematically collects, sorts out and analyzes the representative research on data elements in China.It constructs a knowledge framework system with Chinese characteristics to provide reference and inspiration for the theoretical research and practical exploration of data element.[Method/Process] It mainly adopted network survey, literature research and content analysis to summarize literature contents, policy reports and experts’ opinions on data elements research in China.Then it combed and analyzed them in four aspects, namely, connotation interpretation, operation mechanism, governance system and practical application.[Result/Conclusion] China has made some achievements on data elements research.It basically forms the knowledge framework system, makes some progress in the theoretical study of data as a production factor, and the circulation and market allocation of data elements.But there is still much room for improvement in the effective operation, practical application and governance of data elements.Future research needs to focus on coordinating and promoting the effective operation of data elements, and promoting the construction of the governance system and the combination with application scenarios to realize the multiplier effect.

[Purpose/Significance] This paper analyzes the entities involved in the construction of China’s smart aging service platform and the theme of data resources related to each entity, builds the data resource demand model of smart aging service platform, and provides data basis and theoretical reference for the smart aging data standards construction and data management. [Method/Process] This study collected 109 bidding documents of smart aging service platforms across the country. First, it conducted content analysis to code and analyzed the data demands and data sources of different platform entities from the perspective of actor networks. Then, it used Gephi to cluster the coding results of each entity to identify themes, and used TF-IDF and Word2vec algorithms to calculate the semantic similarity of data resource theme words for different entities. Finally, it constructed the data resource demand model based on the service ecosystem theory. [Result/Conclusion] This study identifies 11 actors in the smart aging service platform, including 8 human actors and 3 non-human actors. The constructed data resource demand model shows the main data themes involved by each entity and the data flow and collaboration between different entities from the macro, meso and micro levels.

[Purpose/Significance] As an important source of information to formulate US policy towards China within the context of Sino-US competition, the intelligence value of the China-related outputs of US think tanks is self-evident. This study systematically analyzes and organizes the outputs of American think tanks concerning China in a data-driven research paradigm, aiming to improve the quality of domestic think tank outputs and enhance the scientific nature of government decision-making. [Method/Process] Under the guidance of the big intelligence view, and based on the government departments’ need to perceive American think tanks policies concerning China, this research outlined the characteristics of foreign think tanks output perception and its commonalities with literature mining methods in library and information science studies, and designed an analysis framework of U.S. think tanks content related to China. This framework integrated fine-grained knowledge mining, full-text measurement, information retrieval with think tank output analysis. In the empirical study, various natural language processing technologies were used to mine key information from China-related think tank literature, constructed a knowledge base and retrieval system, and quantitatively analyzed the policy proposals of American think tanks on the South China Sea issue. [Result/Conclusion] The results show that the proposed framework adapts well to the mining and organization of American think tank literature on China. The related outputs can provide researchers with a global perspective on perceiving foreign think tank policies and contribute to the transition of domestic think tank research from a theory-driven to a data-driven approach.

[Purpose/Significance] Based on digital humanities, this paper displays and analyzes the traveling and emotional information in Travels of Xu Xiake. It not only verifies the relevant research in the fields of literature and history, but also provides a reference for the future research. [Method/Process] With QGIS tools and GPT-3 model, this paper visually displayed the traveling and emotional information in Travels of Xu Xiake through data collection, cleaning, statistics and analysis, and explored the deep information of the diaries. [Result/Conclusion] This study directly shows the spatial and temporal distribution of traveling and emotional information of Travels of Xu Xiake, introduces data thinking into the content mining of it, and enriches the research paradigm of travelogue genres.

[Purpose/Significance] General information literacy competitions have gained widespread attention due to their competitiveness and interactivity. This study explores the current situation and development models of information literacy competitions, and provides reference and guidance for the development of such competitions. [Method/Process] It conducted a literature review and online research to collect the data and analyzed information literacy competitions from 2020 to 2022 with a multi-dimensional statistical analysis approach. It focused on organisational structure, competition models and other aspects with the tag analysis method. [Result/Conclusion] This study reveals the characteristics of domestic information literacy competitions in terms of overall quantity, competition scale, organizational structure, target audience, competition themes, disciplinary subjects, competition schedules and formats, and competition outcomes. It proposes a comprehensive competition model of “teaching-training-competition-evaluation” under the broad background of information literacy.

[Purpose/Significance] Exploring the influencing factors and mechanisms of knowledge service effectiveness of science and technology think tanks can comprehensively enhance their service effectiveness, promote sustainable development, and maximize their value in decision-making consultation. The research will provide a reference for designing the scale and evaluation system of the knowledge service effectiveness of science and technology think tanks. [Method/Process] In this paper, it investigated the current status of knowledge services in science and technology think tanks through in-depth interviews on programmatic grounded theory. The collected raw data from the interviews were analyzed by three-level coding. Finally, it constructed the theoretical model of influencing factors and mechanisms of knowledge services effectiveness in science and technology think tanks. [Result/Conclusion] It finds that the knowledge service effectiveness of science and technology think tanks includes three aspects: the realization of application value, the deepening of theoretical research, and the formation of supply and demand mechanism. Basic resources (supporting force), wisdom synergy (security force), user demand (driving force), and service characteristics (constructing force) jointly determine the level of their knowledge service effectiveness. There is a significant mutual promotion and dependence relationship among the dimensional factors. Among them, user demand exhibits a radial characteristic in its influence on the effectiveness of knowledge services of think tanks and other factors, tending to the center of knowledge services. The demand-driven synergistic integration of diversified institutional resources has a significant impact on the think tank services effectiveness. It is conducive to easing the tense supply and demand relationship between “think tank-decision-making”. This idea need to be emphasized in future relevant policies and service practices.

[Purpose/Significance] Government attention shows the decision-makers’ reaction to specific issues, and its allocation can reflect the inherent laws of policy changes and policy ideology of decision-makers. Quantitative analysis of government attention allocation is a current research trend, but it is mostly based on key words statistics in policy texts, ignoring the emotional tendencies contained in it, thus affecting the fine granularity of the analysis. Degree words in Chinese policy texts can reflect the emotional attitude of decision-makers. The LAS policy text rating dictionary on degree words can measure the allocation of government attention in more detail from an emotional perspective. [Method/Process] The government work report is an important document of our government’s work deployment and also an intuitive presentation of the government’s attention allocation. Taking the government work report from 1978 to 2022 as the research text, this paper combined sentiment analysis with thematic analysis to analyze the overall characteristics and changing trends of our government’s attention allocation since the reform and opening up. [Result/Conclusion] Research shows that it is feasible and effective to quantify government attention allocation with the LAS policy text rating degree dictionary from sentiment analysis, which provides a new perspective for public management and policy research. It finds that Chinese government policymakers have long paid attention to the work relating to agriculture, rural areas and rural residents, and science and technology education. At the same time, they will adjust the attention allocation to specific tasks, such as ecological environment, medical and health, based on the development stage, international environment, public emergencies, etc.

[Purpose/Significance] This article investigates the cognitive and emotional factors influencing users’ willingness and behavior to disclose false information on social networks, so as to promote the healthy development of social networks. [Method/Process] It explored the complex mechanism of users’ disclosure willingness and behavior from the perspective of dual paths of cognition and emotion. It analyzed the data from 847 valid questionnaires using SEM and fsQCA. [Result/Conclusion] ①Engagement, perceived value, perceived risk, and self-efficacy positively affect the disclosure willingness and the disclosure behavior.②Emotional arousal positively influences users’ willingness to disclose information. Negative emotion leads to a stronger willingness to disclose false information. ③Cognitive factors make users more focus on information quality, while emotional factors make users more focus on the reputation of information sources. ④Self-efficacy and emotional arousal show positive regulation in the influence of disclosure willingness on disclosure behavior. ⑤Two paths triggering users’ willingness to disclose false information are found, with self-efficacy as the core factor.

[Purpose/Significance] This study aims to evaluate the quality of ChatGPT-generated research reviews and propose strategies for its application in scientific and technological intelligence work, providing a reference for promoting the application of ChatGPT in the field. [Method/Process] This study analyzed the characteristics of ChatGPT-generated research reviews and designed the quality evaluation criteria and methods. It selected three topics as samples to evaluate the quality of the generated reviews. Based on this, it proposed strategic suggestions for applying ChatGPT to scientific and technological intelligence work. [Results/Conclusion] ChatGPT-generated research reviews show potential value, with initial readability and some content reference. In terms of application advancement, on the one hand, the review generation capability of ChatGPT can be maximized to promote its direct application in scientific and technological intelligence work. On the other hand, considering the specific requirements of generating research reviews, secondary development and tool integration with ChatGPT can enhance its generation efficiency and effectiveness, thereby promoting its in-depth application.

[Purpose/Significance] To explore the mechanisms of value co-creation in library knowledge services involving multiple stakeholders can promote the innovation and enhance the effectiveness of library knowledge services. [Method/Process] This study analyzed and organized the stakeholders, processes, and influencing factors of value co-creation in library knowledge services. It constructed a theoretical model of value co-creation in library knowledge services and employed the system dynamics method to investigate the mechanisms of the value co-creation stakeholders and their influencing factors. [Result/Conclusion] Simulation results indicate that during the process of value co-creation in library knowledge services, the completeness of the institutional framework has a decisive impact. The greater the number of stakeholders participating in value co-creation, the higher the efficiency of knowledge services and the more significant the improvement in user capabilities. The benefits of value co-creation in library knowledge services become significantly apparent only after a prolonged period of coordination, accumulation, and interaction among multiple stakeholders.

[Purpose/Significance] Digital humanities, as an emerging field, is in the ascendant in the academic community. Analyzing the interdisciplinary and topic preferences can comprehensively understand and interpret digital humanities, which is conducive to its sustainable and healthy development. [Method/Process] Based on relevant literatures in digital humanities, this article started from two major baselines of discipline and topic, and used network science methods to analyze the interdisciplinary situation in the field for the deep understanding of its basic situation. Then, it adopted the BERTopic model to identify research topics to obtain the distribution and basic preferences of topics. On this basis, it integrated the disciplinary dimension and topic dimension to conduct a cross-dimensional mining and analysis of digital humanities. [Result/Conclusion] The research results indicate that digital humanities include interdisciplinary intersections not only between digital technology disciplines and humanities disciplines but also among various humanities disciplines themselves. The research on digital humanities is not ubiquitous centralization, but has distinct core topics. The characteristics of different disciplines themselves affect their preferences for topics, and the complementarity between disciplines can open up new perspectives in humanities research. This study provides a deeper understanding and interpretation of digital humanities from the perspective of disciplines and themes, so it has positive significance for promoting the orderly and healthy development of digital humanities research and the effective implementation of national cultural digitization strategy.