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25 August 2024, Volume 44 Issue 04
    

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  • Online Public Opinion in Emergencies: Cognitive Landscape and Analytical Framework
    Zhang Haitao Liu Weili Li Yilin Zhang Chuanyang
    Library & Information. 2024, 44(04): 1-8. DOI:10.11968/tsyqb.1003-6938.2024041
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Focusing on emergency management, we re-examine the implication and governance direction of online public opinion in emergencies, aiming to support both the effective control of online public opinion risks and rational communication of emergency risks through public opinion governance. Firstly, we systematically review the analytical frameworks and governance logics of existing online public opinion research, and clearly classify them into crisis management paradigm and risk communication paradigm; Secondly, we reshape the cognitive landscape of online public opinion in emergencies, and discuss the implication and essence of online public opinion in emergencies from the perspective of risk construction, and describe the positive and negative mechanisms of online public opinion in terms of risk perception and social motivation; Finally, we propose an analytical framework of online public opinion based on the subject and the ontology of public opinion to support the governance of online public opinion in emergencies, with risk management and emergency response management as the goal orientation. This study broke the crisis management paradigm of traditional online public opinion research, reshaped the cognitive picture of online public opinion in emergencies, constructed an analytical framework of online public opinion in emergencies and therefore can provide new perspectives and reference bases for emergency management of emergencies and online public opinion governance.
  • An Evolutionary Game Study on the Behavioral Patterns in Decision Making of Multiple Subjects of Public Opinion in the Context of Emergencies
    Liu Yashu Zhang Haitao
    Library & Information. 2024, 44(04): 9-17. DOI:10.11968/tsyqb.1003-6938.2024042
    Abstract ( ) Download PDF ( ) Knowledge map Save
    On online social media platforms, the cross-influence of multiple interested subjects including government and online media on public opinion dissemination determines the direction of the evolution of public opinion in emergencies. An accurate grasp of the game evolution of the behavioral patterns in decision making of multiple subjects can increase governance effectiveness and improve the solutions to emergency challenges in public opinion for the purpose of maintaining social order and stability. This paper analyses the best decisions made by each subject in different scenarios by establishing a multi-subject game model of public opinion in emergencies and simulates the game evolution process of public opinion behavior among the government, media, and opinion leaders by using evolutionary game theory and Python tools in order to verify the decision making behaviors and game outcomes of the subjects in different scenarios. Evolutionary game theory can effectively analyze the interaction mechanism of multiple subjects in public opinion under emergency situations, revealing the evolution process of behavior of multiple subjects in public opinion under different conditions. 
  • Research on Dynamic Evolution Mechanism of Information Disorder in Cyberspace under Tripartite Game
    Su Xinyu Zhang Haitao Zhang Kexin etc.
    Library & Information. 2024, 44(04): 18-34. DOI:10.11968/tsyqb.1003-6938.2024043
    Abstract ( ) Download PDF ( ) Knowledge map Save
    With the great changes of the media ecology, information chaos makes the social information ecology in a state of disorder with increasing entropy. At the same time, there are few dynamic evolutionary mechanisms of information disorder governance in information science. Therefore, it is of great significance to clarify the logic of information disorder governance from the perspective of cyberspace governance. Rooted in the concepts related to information disorder and cyberspace governance, this paper explores the dynamic evolution mechanism of information disorder management from the perspective of "information source-information chain-information flow", integrates actors, interpreters and receivers, and builds a tripartite game model of information disorder based on the perspective of cyberspace governance. The results show that the governance of cyberspace ultimately stabilizes in two states: the conscious state of Internet public opinion and the ideal state of Internet space. The actor's strategy choice is not affected by the intervention cost; When the interpreter's promotion costs increases, the receiver's selection rate slows down. The increase in potential income will change the recipient's behavior choice, and the increase in the probability of being deceived will slow down the choice rate, but will not affect the final result.
  • Research on the Construction and Application of the Online Public Opinion Event Graph of Emergency Events
    Liu Weili Zhang Haitao Pang Yufei etc.
    Library & Information. 2024, 44(04): 35-44. DOI:10.11968/tsyqb.1003-6938.2024044
    Abstract ( ) Download PDF ( ) Knowledge map Save
    The construction of an emergency online public opinion event graph, centered on the public opinion object, aims to illustrate the correlations between the public opinion object and public opinion ontology. This supports the monitoring and governance of emergency online public opinion, focusing on risk prevention, mitigation, and emergency management. Firstly, considering the diversity and ambiguity of online public opinion information, we design the structure of an online public opinion event graph for emergencies. This structure is divided into the public opinion subject layer, public opinion ontology layer, and public opinion object layer, and we propose the construction process and method for the online public opinion event graph. Secondly, we explore the application scenarios of the online public opinion event graph and introduce a series of online public opinion evolution analysis methods based on the event graph. Finally, an empirical study is conducted on the Zhuozhou rainstorm of 2023, constructing the online public opinion event graph for the Zhuozhou rainstorm disaster and analyzing the evolution process of online public opinion using the event graph to delineate the development trends of key events. The study demonstrates that the online public opinion event graph effectively describes the subjects, ontology, and objects of public opinion and their interconnections, presents the evolution trend of online public opinion, identifies key nodes of risk construction, and reveals secondary and derivative risks of key events. This provides new perspectives and reference bases for the governance of online public opinion in the context of emergency management.
  • Progress in Generative Artificial Intelligence Research 
    Wang Fang Zhu Xuekun Liu Qingmin etc.
    Library & Information. 2024, 44(04): 45-64. DOI:10.11968/tsyqb.1003-6938.2024045
    Abstract ( ) Download PDF ( ) Knowledge map Save
    The rapid iteration and wide application of generative artificial intelligence (GAI) technology have demonstrated its immense potential in driving economic and social development. At the same time, it also brings challenges and risks. Based on a comprehensive review of relevant literature, this paper identifies the key technologies, development history, and application scenarios of GAI, analyzes the risks in data training, model building, and content generation, summarizes the risk governance strategies for GAI, such as implementing data quality control throughout the entire lifecycle of GAI, enhancing technical capabilities to manage AI risks, optimizing organizational structures for adaptability, and strengthening the constraints by accountability mechanism and technical standards. Additionally, this paper proposes that the future development of generative artificial intelligence should adhere to the principle of balancing innovation with risk management, improve the system of policies, regulations, and technical standards, establish a diverse and inclusive framework for international cooperation and governance, and fully stimulate the vitality of enterprises. This study is expected to provide reference for GAI related research, technology development, and policy making.
  • Research on Data-Driven Value Mining and Activation of Archival Documentary Heritage
    Wang Yujue Cheng Shuo
    Library & Information. 2024, 44(04): 65-80. DOI:10.11968/tsyqb.1003-6938.2024046
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    In view of the current situation that digital technology in the field of archives and documentary heritage is slightly insufficient in the application of knowledge services, an activation scheme is designed based on the association between knowledge organization and service to promote social sharing. Based on ontology and knowledge graph construction, this paper a data-driven value mining and activation scheme of archival documentary heritage. From data extraction, knowledge organization, knowledge discovery to value expression, the method and process of applying digital technology to archival literature heritage are studied. Through the case demonstration scheme of Dasheng archives, a feasible activation path is proposed for knowledge service. The resules indicate that based on the multi-disciplinary perspective, this paper explores the four meanings of archival documentary heritage from the perspective of historical and socio-cultural value: preserving history, safeguarding memory, evoking emotions, and shaping identity. From the four aspects of knowledge platform service, multi-sensory interaction, immersive experience, and media sharing, this paper proposes the construction of archival culture living space, and shows the drive and influence of digital technology on the activation and utilization of archival documentary heritage.
  • The Logic Mechanism and Path Selection of Knowledge Generation Supported by Multimodal Model
    Zhang Liming Ran Zheng Zhang Rong
    Library & Information. 2024, 44(04): 81-89. DOI:10.11968/tsyqb.1003-6938.2024047
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Multimodal models, which are based on vast data and powerful algorithms, rely on complex structural frameworks. They demonstrate core features such as cross-domain data processing capabilities and the continuous generation of innovative data when they are applied in the knowledge embedding process. The advanced intelligence in knowledge data organization, adaptive multi-scenario knowledge expression, and dynamically coordinated knowledge sharing collectively advance the logic of knowledge generation from understanding existing information to producing entirely new knowledge. However, these models are increasingly revealing issues such as the lack of legitimate and reliable knowledge data sources, opaque and unexplainable generation processes, and inadequate high-quality content output. These issues urgently need to be addressed by developing value-aligned generative models, enhancing controllable generation technologies, refining human feedback mechanisms, and establishing rule-based regulatory systems, to better support knowledge generation and accelerate the development of innovation-driven new forms of productivity.
  • Research on the Framework and Content of Artificial Intelligence Literacy Education in Libraries
    Wu Ruohang Mao Yihong
    Library & Information. 2024, 44(04): 90-100. DOI:10.11968/tsyqb.1003-6938.2024048
    Abstract ( ) Download PDF ( ) Knowledge map Save
    To explore the position and role of libraries in artificial intelligence (AI) literacy education, and to analyze the implementation paths and promotion strategies for libraries to participate in AI literacy education, this paper, based on an explanation of the significance, connotation, and development trends of AI literacy education, analyzes the role and advantages of libraries in AI literacy education. It also constructs a framework for AI literacy education in libraries and discusses strategies for promoting AI literacy education in libraries. The study finds that the content of AI literacy education in libraries includes the provision of AI-related reading materials, general AI education, AI reading promotion, AI application provision, AI practice teaching, and AI practice assistance. Libraries need to actively explore the practice of AI literacy education, strive to build a library AI literacy education system, and continuously improve their AI literacy education capabilities.
  • Text-to-Video Artificial Intelligence in the Field of Book Application Scenarios and Effective Governance
    Li Tao
    Library & Information. 2024, 44(04): 101-110. DOI:10.11968/tsyqb.1003-6938.2024049
    Abstract ( ) Download PDF ( ) Knowledge map Save
    As a kind of "New quality productivity", text-to-video generative artificial intelligence has a broad application prospect in the field of book publishing. Compared with CHATGPT, text-to-video generative artificial intelligence Sora enables the construction of library visual digital resources, virtual space construction, intelligent service model innovation and user personalized service innovation. But at the same time, it also makes the library face the challenges of infringement of personal rights, intellectual property rights, data information, algorithm security and false information. In view of this, in order to eliminate these legal and technological risks, we should strengthen the effective management of the risks of the application of artificial intelligence Sora in the field of books, and clarify the ownership of the copyright of artificial intelligence products, and on this basis to further strengthen the algorithm supervision and enhance library's self-compliance ability so as to make text-to-video generative artificial intelligence technology better serve the sustainable development of the book industry, and jointly create a healthy and orderly human-computer coexistence environment.
  • The Copyright Risks and Development Strategies Regarding Library Document Delivery and Resource Sharing in Global Perspectives
    Zhou Mingxuan Guo Ruihong
    Library & Information. 2024, 44(04): 111-117. DOI:10.11968/tsyqb.1003-6938.2024050
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Technologies have promoted the development of global library document delivery alliance and resource sharing network on the basis of common platform, but it also brought out risks of demand fluctuation and cost increase, etc,. Digital sharing has also increased the infringement risk in this field. In global perspectives, improvements in effective user demands via reflection and innovation, enhancements of copyright management to reduce service risks, launches of user researches to improve service quality and professional improvements of librarians constitute the strategies for libraries to cope with the development dilemma in document delivery and resource sharing.
  • The Role of Psychographics in Addressing Over-Specialization Problem in Recommendation Systems: An Empirical Study Based on Machine Learning
    Huang Yinghui Liu Hui Wang Werijun etc.
    Library & Information. 2024, 44(04): 118-130. DOI:10.11968/tsyqb.1003-6938.2024051
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Intelligent recommender system may trap users in phenomena such as "information cocoons," "filter bubbles," and "echo chambers," leading to over-specialization. Individual psychological traits are internal representations of external behavior. Exploring and validating the potential role of online users' psychographics in mitigating their over-specialization tendencies，holds theoretical and practical significance for improving and evaluating of user-centered recommender system. Using natural language processing and machine learning experimental methods, based on psychographic segmentation theory, this study investigates the relationship between users' demand for recommendation diversity (i.e., "specialization" tendency) and their psychological traits through opinion mining and psychological computation methods. It then integrates psychographics into user preference models and validates them through large-scale preference behavior data and recommendation algorithm experiments. The study finds that: psychographics can effectively explain and predict users' demand for recommendation diversity. By integrating user preference models, psychographics can mitigate over-specialization while ensuring recommendation accuracy. Compared to personality traits, values have a relative advantage in explaining and mitigating users' over-specialization tendencies.
  • Research on the Configuration of Factors Influencing Multilingual Users' Information Sharing Behavior from the Perspective of Cross-Cultural Communication
    Fan Shu Sun Xiaobei Wu Dan
    Library & Information. 2024, 44(04): 131-144. DOI:10.11968/tsyqb.1003-6938.2024052
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    This study aims to explore the configuration of factors influencing information sharing behavior among multilingual users from the perspective of cross-cultural communication, with the goal of enhancing their willingness to share information across cultures and promoting the flow of intercultural information resources. This study selects multilingual users as the subject and extracts research variables based on the dimensions of information subject, content, technology, and environment. Data were collected through a questionnaire survey and analyzed using fuzzy-set qualitative comparative analysis and regression analysis to identify the core configurations of factors affecting information sharing behavior. It is found that the social environment is the necessary condition for the occurrence of information sharing behavior, and significant positive influence relationships are found with language environment, cultural environment, social environment, and system quality. The configurations of influencing factors are categorized into three types. The findings not only verify the stability of the multidimensional causal structure of information sharing behaviors but also uncover the variability and context-dependent characteristics of specific factors in their dynamic process. These discoveries contribute to theoretical insights into the mechanisms influencing information sharing behaviors from the perspective of cross-cultural communication and provide practical references for the development of cross-cultural communication strategies. Interventions can be tailored or adjusted accordingly to optimize information sharing effects among multilingual users.
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