[Purpose/Significance] The "15th Five-Year Plan" defines the development direction and strategic choice for Chinese libraries in the next five years. It is based on China's national conditions and serves the characteristic development of Chinese libraries. Against the backdrop of the Chinese-style modernization, this paper explores how libraries can achieve high-quality development under the changing internal and external environment, with the aim of grasping the development direction of Chinese libraries and offering a construction path for the scientific formulation of the "15th Five-Year Plan". [Method/Process] A library strategy is an action plan based on a comprehensive and in-depth analysis of the Chinese libraries' internal and external environment. Environmental scanning is a fundamental part of strategic library planning. It implies that the libraries adapts to environmental changes by seeking and using external information. The formulation of the library strategy must start from the current situation, identfiy external environmental changes such as those in the political, economic, social, cultural and technological spheres, and track responses and developments. Using the research method of environmental scanning, this paper traces the dynamics of the social environment at the macro level, the business environment at the medium level, and the system environment at the micro level, and analyzes the practical demands of the society at the macro level, the medium industry at the medium level, and the library readers at the micro level. [Results/Conclusions] Chinese-style modernization embodies both conceptual and discursive innovation. As an ideological discourse, it has four layers of meaning: socialist modernization, independent modernization, modernization for the comprehensive rejuvenation of the Chinese nation, and modernization that creates a new form of human civilization. This article is guided by the theory of China's modernization and has set the main goal for the construction of China's modern libraries. It emphasizes the leading role of the concepts of "people-oriented" and "efficiency", and focuses on the three major development priorities of "professional and stable development", "intelligent transformation", and "building a national library service network". Finally, it proposes the four modern systems of "the cooperative governance system for libraries of all kinds", "the next-generation knowledge sharing and service system", "the cultural dissemination and social service system", and "the library security and guarantee system". The goal of the Chinese-style modern library is to build a national library service network that is both deeply professional and highly intelligent, organically integrating specialization and intelligence. First, to ensure the specialization of library services, then realize the wisdom to broaden the service boundary, and finally build a national library service network. A cultural communication and social service system should be built in accordance with the macroscopic social needs. A collaborative governance system should be established based on the needs of library development. A new generation of knowledge sharing and service system should be established according to individual needs. The establishment of the support system ensures the successful development of the "15th Five-Year Plan". We should consistently integrate the above three key priorities throughout the four modern systems.
[Purpose/Significance] Every transformation and development in scientific and technological (S&T) documentation and information services has revolved around the application of advanced information technologies. Currently, cutting-edge AI technologies such as large-scale models and agents are driving a new wave of paradigm shifts in scientific research. Information institutions should consider how the paradigm of S&T documentation and information services should evolve to lay a strategic foundation for the development of the "15th Five-Year Plan" development. [Method/Process] This study uses objective induction and theoretical reasoning methods. It starts with the three driving modes of AI empowering scientific research and combines them with the essence of information work. The study concludes and summarizes that AI empowers S&T documentation and information services in two main areas: information infrastructure (data production, information organization, and knowledge representation) and information generation (intelligence computation). Agents integrated with large-scale modelling technologies demonstrate exceptional, even scientist-level, data understanding capabilities, suggesting that they are already capable of enabling information generation. [Results/Conclusions] Building and deploying DIS agents is an inevitable choice for information institutions as they prepare for the "15th Five-Year Plan". Driven by DIS agents, S&T documentation and information services will achieve higher levels of automation and intelligence, freeing information professionals from tedious basic data processing tasks and allowing them to focus on generating high-value information and supporting decision making. In the ecosystem of S&T documentation and information services driven by DIS agents, clusters of agents form the core and work together both internally and externally: Internally, DIS agents achieve a high level of automation in four core functions: data production, information organization, knowledge representation, and intelligence computation through the integration of planning tools, basic data and infrastructure resources. Externally, through interactions between agents, information experts, and specific intelligence scenarios, a new working paradigm emerges: "human and multi-agent collaboration". In the future, when planning and designing the implementation of DIS agents, it is essential to focus on both the technical adaptability at the current R&D stage and the potential security risks in future application stages. This ensures the efficient and secure use of DIS agents in S&T documentation and information services.
[Purpose/Significance] In recent years, China has been committed to building a strong educational country. As key academic institutions within universities, university libraries play a vital role in disseminating knowledge, nurturing talent, and supporting scholary research. Their development is of great significance in promoting the high-quality development of higher education and realizing the goal of building a strong educational country. This study focuses on the "15th Five-Year Plan" of university libraries. It analyzes the development characteristics of university libraries during the "14th Five-Year Plan" period, explores the opportunities and challenges they face in the new era, and puts forward key points and suggestions for the "15th Five-Year Plan" to promote the transformation and upgrading of university libraries and better support the building of a strong education country. The innovation of this article is that it comprehensively considers various factors and national strategic requirements, and puts forward a relatively systematic and forward-looking development plan for university libraries, which provides a new perspective and practical guidance for the research and practice of university libraries in the new era. It contributes to the improvement of the theoretical research system of library science and promotes the deep integration of library services with teaching, scientific research, and cultural heritage in the digital age. [Method/Process] This study mainly adopts the methods of literature review, data analysis, and case study. By collecting and analyzing a large body of literature on library development policies, strategic plans, and related research findings from home and abroad, it examines the development context and trends of university libraries. At the same time, it analyzes the statistical data of library funds, resource construction, and service development during the "14th Five-Year Plan" period to objectively understand the current situation and problems. In addition, it also studies the development cases and practices of some excellent university libraries at home and abroad to draw on successful experiences. The theoretical basis of this study is drawn from the theory of library science, information science, and the relevant theories of education and cultural development. The empirical basis is mainly based on the actual situation and data of the university libraries in China in the past few years. [Results/Conclusions] During the "14th Five-Year Plan" period, university libraries have not only made certain achievements in smart library construction, digital transformation, and information literacy education, but they also face challenges such as reduced funding and polarized academic evaluation services. In the "15th Five-Year Plan" period, university libraries should seize the opportunities provided by national strategies such as national cultural digitization and educational strength, and focus on eight aspects, including to modernize the management system, strengthen the construction of data infrastructure, promote the construction of digital special collections, support digital intelligence teaching, explore the management and operation of future learning centers, build intelligent service systems supported by artificial intelligence, provide full-cycle support for scientific research, and enhance the reader's experience in the virtual environment. At the same time, it is necessary to pay attention to the evaluation of development results, summarize experience and lessons learned, and continuously optimize the development path. Future research can further explore the specific implementation strategies and detailed operation methods of each plan point, strengthen the cooperation and integration between libraries and other departments in the school, and conduct in-depth research on the application and impact of emerging technologies in libraries.
[Purpose/Significance] The spread of misinformation on social media has caused serious harm and attracted attention from various disciplines. This study aims to systematically examine the factors associated with the propagation of misinformation. It contributes to the existing literature by providing an integrated model of the factors influencing misinformation propagation, which is crucial for understanding and mitigating the spread of misinformation. [Method/Process] The search strategy, developed with the help of librarians, was searched in six Chinese and foreign databases. Four researchers coded the information back-to-back to ensure the accuracy of the analysis. Our literature screening criteria were rigorous to ensure that only high quality and relevant research was included. A total of 108 empirical studies related to misinformation propagation were included. The factors were summarized and sorted from multiple perspectives such as disciplinary field, theoretical foundation, research methods and different roles. [Results/Conclusions] Research on this topic has grown rapidly in recent years. Scholars from a variety of disciplines have used survey and experimental methods to study misinformation in the areas of politics and health. Pedictors of misinformation propagation are mainly studed from the perspective of users and information, including objective characteristics of information, perceptual characteristics of information, as well as individual characteristics, cognitive characteristics, and perceptual characteristics of users. The results show that individual characteristics play a critical role in shaping users' intention and behavior to propagate misinformation. Individual characteristics are the most frequently studied factors, while information and situational characteristics have received less attention. Psychological and behavioral variables, including users' cognitive, emotional, and behavioral responses play key mediating roles in this process. In addition, the types of information, individual attributes, cognitive characteristics, social interactions, personal knowledge, behavior and emotions play moderating roles. This study constructs an integrated model of the influencing factors for misinformation propagation, which can provide direction for targeted interventions and algorithm design to mitigate the spread of misinformation. The study also identified some limitations of current studies, including an excessive focus on the political and health issues, a lack of attention to how information characteristics, intervention factors, and platform characteristics play a role, and the relative simplicity of the research methods. Future studies should focus on misinformation propagation in other scenarios, explore more information characteristics suitable for algorithmic intervention, examine the differences in misinformation propagation on different platforms, and use mixed research methods to reach more credible conclusions. This study provides directions and goals for multi-agent collaborative misinformation management.
[Purpose/Significance] In the process of providing and receiving public cultural goods empowered by digital technology, digital inequality caused by the digital divide tramples on digital justice. Digitization has shaped the space of digital ecological justice, and digital justice is naturally consistent with "fairness". The value attribute of "justice" is its rightful meaning. The connotation of digital empowerment is "efficiency", which is not only the application of technology and data, but also the methodology of promoting economic and social development through digital means. Exploring the positive significance of digital empowerment is a great driving force for the innovative development of public cultural construction in the new era. [Method/Process] By analyzing the relevant literature, we started from the public attribute of public cultural goods, by sorting out basic concepts such as "digital justice", "digital empowerment", and "digital divide", and explored the logical essence of achieving "social justice" under the unity of efficiency and fairness. This article is a return to traditional justice theory and has been promoted and expanded under the value orientation of digital justice in the new era. In order to achieve a natural state where free individuals are not coerced, value analysis methods should be used to address the conflict between the human-centered justice value orientation and instrumental rationality in the context of digital empowerment, as well as the mismatch between traditional social rights protection mechanisms and digital social operating models. We use the contradiction analysis method to explore reality dilemmas and value conflicts, and provide suggestions for resolving conflicts. [Results/Conclusions] The supply and acquisition of public cultural goods should follow the requirements of digital justice in the digital field and space, and embody the value attribute of "justice", which is its rightful meaning. Suggestions for dealing with the difficulties include returning to the humanistic value theory, clarifying the relationship between ends and means, establishing a standardized new ecosystem for digital empowerment, reaching a rational consensus on addressing digital inequality, and affirming that we are guided by the dynamic and genuine cultural needs of citizens. This article provides a "should-be" approach to further optimize the supply and acquisition of digitally enabled public cultural goods and services. The focus of this article is on value attribute analysis, comparative and practical research on micro-level policies and specific cases of digital empowerment of public cultural goods supply and acquisition. It is also necessary to fully investigate the reality in China and gather information and data. In the future, we will focus on finding viable solutions to real-world problems in order to increase the positive impact of "digital empowerment".
[Purpose/Significance] Sentiment analysis technology is an important part of the natural language process and plays a key role in modern smart systems. As smart libraries continue to develop, traditional service models focused only on functionality are no longer enough to meet users' diverse and personalized needs. In the digital transformation era, smart libraries need new technologies to improve service quality, and adding sentiment awareness has become a key way to move beyond traditional approaches. This study uses ChatGPT(Chat Generative Pre-trained Transformer) to apply sentiment analysis in smart library services. This goal is to create a new service model based on emotions, helping smart libraries shift from basic information management to services that focus on emotional care and better user experiences. This approach not only helps smart libraries handle the challenges of digital transformation but also offers a fresh way to meet users' emotional needs. [Method/Process] This study reviews relevant literature from both domestic and international sources, systematically analyzing the mainstream research methods and technological trends in the field of smart libraries. It also explores the adaptability and feasibility of sentiment analysis technology in smart libraries, based on current practical scenarios. The research uses ChatGPT's sentiment analysis as the technological foundation, combined with the theory of smart library service models, leveraging the advantages of the ChatGPT to create an analysis framework that integrates theory and practice. At the same time, the study draws on successful cases and practical experiences from domestic and international smart libraries, such as intelligent recommendation systems and contextual knowledge services, extracting effective application paths for sentiment perception technology. This approach provides strong theoretical and practical support for the applicability of the research methods, ensuring the scientific, logical, and innovative nature of the study, and effectively contributing to the optimization of smart library services. [Results/Conclusions] ChatGPT's sentiment analysis capabilities have the potential to significantly enhance both the service quality and user experience in smart libraries. Personalized recommendations and context-aware services can effectively meet the diverse needs of library users. However, the application and research in this area are still in their infancy in China, and there are ongoing challenges in technology adaptation and practical implementation. Particularly, the difficulties in promoting the technology, user adaptability, and issues related to funding have hindered the implementation and widespread adoption of smart library services. To promote the further development of smart libraries, greater efforts should be made to deepen the integration of ChatGPT technology and explore its potential to meet the evolving demands for library services in the digital era. Additionally, the research proposes strategies to address these challenges, such as enhancing technology adaption and user education, exploring diversified funding support options, and continuously innovating application pathways. Through these explorations, smart libraries will better adapt to the needs of the new era and provide more personalized, context-aware services.
[Purpose/Significance] The study aims to construct an early warning model of public opinion risks based on government-citizen interaction data, guided by evidence-based decision-making theory. We seek to uncover the governance value embedded in such interaction data, providing new insights and methods for identifying and managing potential public opinion risks. Traditional methods of monitoring public opinion often rely on subjective judgment, leading to potential bias and inefficiency. In contrast, this study uses objective, data-driven techniques to improve the accuracy and reliability of risk predictions. By integrating evidence-based decision making with public opinion analysis, the study not only advances the theoretical framework but also provides practical tools for government use. This innovation is significant as it addresses the gaps in the current literature regarding the objective assessment of public opinion risks and their impact on governance, thereby contributing to the field of public administration and social governance. [Method/Process] The research methodology involves a multi-step process, starting with the identification of key indicators of public opinion risks. These indicators include appeal purpose, text length, sensitivity, emotional tendency, and degree of aggregation. The analytical hierarchy process (AHP) and the criteria importance through intercriteria correlation (CRITIC) method were employed to calculate the weight of each indicator. AHP, a subjective weighting method, uses expert judgement to construct a judgement matrix and determine indicator weights. However, to reduce subjective bias, the CRITIC method is integrated, which objectively determines weights based on the variability and conflict in the data. The model's workflow began with problem identification, which captures the issues that government officials want to address through public opinion monitoring. Data were then collected from various channels, such as the "12345" government service hotline, government Weibo accounts, and official email inboxes. The risk identification phase involves the construction of a public opinion risk identification index system to identify potential risks in the data collected. This is followed by a risk assessment, where the weight of each indicator is calculated, and the risks are classified into different levels. Finally, decision recommendations were provided based on the risks identified and their urgency. The model was validated using government-citizen interaction data from Suzhou as a case study. The results of the analysis were closely aligned with the future priorities of the Suzhou municipal government, fully demonstrating the model's effectiveness and reliability of the model for early risk warning. [Results/Conclusions] The study concludes with the validation of a feasible and practical early warning model for public opinion risks. The model was tested using interaction data from the Suzhou municipal government's official website, demonstrating its effectiveness in identifying and predicting public opinion risks. The results show that the model can accurately assess the severity of risks and provide timely warnings, helping government decision-makers to manage risks proactively.
