18 July 2024, Volume 45 Issue 4

    

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  The Dimension of Modern Development of Information Science Theory in Our Country in the New Era:Governance and Shaping Security

  Zhang Yuhan, Chen Gang

  Information and Documentation Services. 2024, 45(4): 5-13. https://doi.org/10.12154/j.qbzlgz.2024.04.001

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  [Purpose/significance] On the basis of clarifying the historical development process of information science theory in China, explore the two dimensions of modernization development of information science theory in the new era.[Method/process] This article takes literature content analysis and autonomous theory construction as the main re⁃search methods, supported by some high-quality information science theory literature, governance theory literature,Marxist classic works, and new era party and government decision-making deployment documents publicly published in China. it analyzes and points out the areas that urgently need to be strengthened in the current development of infor⁃mation science theory, and proposes targeted development strategies.[Result/conclusion] The research results indicate that significant achievements have been made in the theoretical research of information science in China, but there is still a need for continuous improvement in terms of local adaptability, thinking mode construction, discourse system connection, theoretical timeliness and practicality. We can try to use the self-built governance concept system and the shaping of security concepts under the overall national security perspective as two dimensions to guide the moderniza⁃tion of information science theory, providing comprehensive theoretical scientific, contemporary, and authoritative sup⁃port. On the basis of strengthening the current situation and solving problems, we can further expand the perspective of information science theory reproduction and deepen our understanding and research of intelligence practice. And it is also necessary to promote interdisciplinary research in information science based on independent professional estab⁃lishment.
  
  
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  Intelligence Talent Training Chain for National Strategy: Cognition, Framework and Realization

  Zhu Xiaofeng, Zhang Han, Hong Lei, Wu Jingxian

  Information and Documentation Services. 2024, 45(4): 14-23. https://doi.org/10.12154/j.qbzlgz.2024.04.002

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  [Purpose/significance] The intelligence talent training chain oriented towards national strategy helps to re⁃construct the intelligence talent training model, promote the resonance between intelligence talent training and national strategy, and better meet the needs of national strategy for intelligence talents. [Method/process] Firstly, the historical changes of national strategy were sorted out, and the basic meaning and key links of the intelligence talent training chain were defined; Secondly, the basic logic of the training chain for national strategic intelligence talents was ana⁃lyzed; Subsequently, a theoretical model for the training chain of national strategic intelligence talents was constructed from the dimensions of subject, object, and content; Ultimately, a complete talent training chain from undergraduate and graduate students to leading talents will be established for different levels of national strategy implementation. [Re⁃sult/conclusion] The training chain for national strategic intelligence talents is essentially a symbiotic chain that em⁃powers and assists various entities in the formation of national strategies. It is a talent supply chain formed by continu⁃ously deepening and expanding the training objects in response to the development of national strategies. It is a learn⁃ing chain that matches the professional knowledge and capabilities of intelligence science with national strategies. The intelligence talent training chain, from undergraduate and graduate students to leading talents, is not only a process of continuously improving the quality of intelligence education, but also a process of constantly adapting, fitting and meet⁃ing national strategic needs.
  
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  The Overall Cultivation of Public Cultural Management Talents: Inevitable Logic,Actual Pattern and Obligatory Path

  Gong Jiaoteng, Hong Fanglin

  Information and Documentation Services. 2024, 45(4): 24-33. https://doi.org/10.12154/j.qbzlgz.2024.04.003

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  [Purpose/significance] The overall promotion of public cultural management professional talents training is a key movement and task to promote the synergistic layout of the secondary disciplines of information resources man⁃agement. [Method/process] Following the idea of "consolidating the foundation and developing the new" and the con⁃cept of "holistic governance", and combining relevant policy documents, case data and factual information, we deduce and summarize the inevitable logic, actual pattern and the way of holistic cultivation of talents in the discipline of pub⁃lic culture management. [Result/conclusion] The overall logic of the historical evolution, policy planning, theory appli⁃cation and practice development of the cultivation of talents in the discipline of public cultural management, as well asthe research pattern, education pattern and career pattern of public cultural management jointly indicate that the firstlevel discipline community of information resource management provides a solid foundation and the best field for the
  cultivation of talents in public cultural management. Public cultural management education and teaching institutions should take positive measures to integrate the research paradigm with the career scenario, combine technical rationality with humanistic ideals, integrate core literacy with universal skills, and cooperate with traditional models and innova⁃tive mechanisms.
  
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  An Analysis on the Construction Mechanism of Human-Bot Collaborative Knowledge Society in Online Knowledge Community under Generative AI Scenario

  Zuo Min, Qiu Jiangnan

  Information and Documentation Services. 2024, 45(4): 34-43. https://doi.org/10.12154/j.qbzlgz.2024.04.004

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  [Purpose/significance] In the context of generative AI, Online Knowledge Communities (OKC) have intro⁃duced a large number of bots embedded with AI algorithms, posing new challenges for developing human-bot collabora⁃tion patterns to better improve the performance of knowledge social construction. [Method/process] Collect humanbot collaboration network log data from 136 human users and 48 bot users in Wikipedia, and use grounded theory for multi case analysis. [Result/conclusion] The study establishes a human-bot collaborative knowledge social construc⁃tion model for OKC in generative AI contexts, revealing the mechanism of human-bot collaborative knowledge social construction, elaborating the effect of three basic task dependencies(flow,fit,sharing) and human-bot team resources re⁃quired for task execution on the formation of two human-bot collaboration patterns, automated assistance and enhanced assistance, as well as the important impact of these two human-bot collaboration patterns on the knowledge social con⁃
  struction performance.From the perspective of human-bot collaboration, the research enriched and developed the coor⁃dination theory and social constructivist theory, providing useful guidance for human collaborating strategies and knowl⁃edge social construction performance improvement strategies in generative AI contexts.
  
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  Practice Mechanism and Law-Based Mechanism of Data Intelligence Participation in Knowledge Production: A Case Study of ChatGPT

  Lou Chao, Shen Wenjun

  Information and Documentation Services. 2024, 45(4): 44-52. https://doi.org/10.12154/j.qbzlgz.2024.04.005

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  [Purpose/significance] Generative artificial intelligence technologies represented by ChatGPT can partici⁃pate in knowledge production and data value creation, which is beneficial for promoting the diversification of knowl⁃edge production entities, enhancing the personalization and diversity of output,facilitating the circulation and sharing of data information, and achieving the collaboration of production structures. The discussion related to the practical mechanism and the legal mechanism in this process will be necessary, which can provide the sufficient institutional guarantee for the effective implementation of this process. [Method/process] The premise of arguing ChatGPT partici⁃pating in knowledge production and legal mechanism lies in the clarification of problems and hidden dangers caused by it, the involvement of ChatGPT in knowledge production may weaken the creativity and autonomy of humans as the main creators, undermine the authenticity of relevant contents, impact the basic value of data, disrupt the existing knowledge production environment, and interfere with effective human control over the effective order of knowledge dis⁃semination, even pose a threat to the dominant position of mainstream ideologies. [Result/conclusion] In this regard,there is a need to establish a systematic legal mechanism for ChatGPT's participation in knowledge production,estab⁃lish the legal regulatory system based on the compliance of principles of the value rationality, improve the full process administrative supervision and judicial remedies, and form the collaborative governance pattern that all social entities participate commonly.
  
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  Steady-State Evolution and Knowledge Generation Capability Analysis of Digital Intelligence Knowledge Ecosystem: Based on Dissipative Structure Theory

  Li Jiaxuan, Chu Jiewang

  Information and Documentation Services. 2024, 45(4): 53-63. https://doi.org/10.12154/j.qbzlgz.2024.04.006

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  [Purpose/significance] Digital intelligence empowerment provides a new knowledge generation logic for re⁃gional knowledge innovation, which not only accelerates the knowledge flow within the system, but also improves the de⁃gree of knowledge coupling between regions. Exploring the new evolutionary logic and knowledge generation capability of the knowledge ecosystem empowered by digital intelligence can improve the level of regional knowledge innovation and knowledge generation capacity in China. [Method/process] According to the dissipative structure theory, the Brus⁃selator model was translated and applied to the digital intelligence knowledge ecosystem, and the evolution process of the digital intelligence knowledge ecosystem was analyzed. Then, the regional knowledge input-knowledge generation ability index under the empowerment of digital intelligence is proposed, and the empirical analysis of the data is used to draw corresponding conclusions. [Result/conclusion] It is found that the knowledge ecosystem has new dissipative steady-state characteristics under the empowerment of digital intelligence. At the same time, driven by digital intelli⁃gence technology, the composition, evolution and knowledge generation ability of the knowledge ecosystem have under⁃gone significant changes.
  
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  Research on Digital Hoarding Behavior in Workplace Based on I-PACE Model:Influencing Factors and Mechanism Framework

  Wu Dawei, Lian Jingwen, Zhao Yuxiang, Jia Mingxia

  Information and Documentation Services. 2024, 45(4): 64-75. https://doi.org/10.12154/j.qbzlgz.2024.04.007

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  [Purpose/significance] With the exponential growth of work-related data, digital hoarding has become a typical irrational behavior in the workplace. By clarifying the influencing factors and mechanisms of digital hoarding be⁃havior in this context, this study aims to provide recommendations for optimizing existing research paradigms and im⁃plementing targeted coping strategies. [Method/process] Based on the I-PACE model, this research explores the influ⁃encing factors of digital hoarding behavior in the workplace across seven dimensions: individual characteristics, organi⁃zational pressure, technostress, coping styles, cognitive biases, emotional and cognitive responses, and lack of self-con⁃trol. Additionally, it analyzes the conceptual implications and behavioral consequences. Through normative analysis,this study elucidates five influencing and action mechanisms: individual bias mechanisms, emotion intensification
  mechanisms, cognitive dissonance mechanisms, compensatory loss of control mechanisms, and behavioral consequence mechanisms, proposing five normative propositions accordingly. [Result/conclusion] This study constructs a frame⁃work for the influencing mechanism of digital hoarding behavior in the workplace based on the I-PACE model. Future research prospects and coping strategies are suggested for different mechanisms. The findings aim to enrich research on digital hoarding behavior and optimize information management practices in the workplace.
  
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  Study on the Influencing Factors of Information Sharing Willingness of Hypertensive Patients under the Context of Health Information Encounter

  Fang Jie, Yang Yihan, Wang Fei

  Information and Documentation Services. 2024, 45(4): 76-86. https://doi.org/10.12154/j.qbzlgz.2024.04.008

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  [Purpose/significance] This study focuses on hypertensive patients in health information encounters and aims to investigate the factors that influence their willingness to share health information. The objective is to enhance patients’willingness to share health information and provide valuable insights for the health management of hyperten⁃sive patients and the operational strategy of social media. We aimed to establish an information sharing willingness model in the context of health information encounters. [Method/process] To achieve this, we utilized the heart flow model and task technology fit model. A questionnaire survey method was employed to collect 552 valid responses. To test our hypotheses and mediating effects, we used SPSS 26.0 and AMOS 26.0. [Result/conclusion] The study has found that several factors directly impact on the willingness of hypertensive patients to share health information. These factors include face wants, health self-efficacy, technology characteristics, privacy protection, perceived usefulness,task technology fit, and heart flow experience. Additionally, technology characteristics, relaxed task characteristics and task technology fit positively influence the heart flow experience during encounters. The study has also confirmed that the heart flow experience during encounters mediator the relationship between technology characteristics, task charac⁃teristics, task technology fit, and health information sharing willingness.
  
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  Research on the Governance of Training Data as the Core Driving Force of Generative Artificial Intelligence

  Chen Rui, Jiang Yihui

  Information and Documentation Services. 2024, 45(4): 87-95. https://doi.org/10.12154/j.qbzlgz.2024.04.009

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  [Purpose/significance] In current research, there is less focus on the governance issues of training data for generative artificial intelligence. However, there are numerous risks in the lifecycle of training data that cannot be ig⁃nored and urgently need effective governance. [Methods/process] This paper, based on the demonstration that training data is the core driving force of generative artificial intelligence, uses the theoretical model of the data lifecycle to com⁃prehensively summarize the possible risk patterns in the training data lifecycle. Then, it analyzes the causes of related risks from the perspectives of the intrinsic characteristics of the training data, ecological factors, and operational factors of generative AI developers. [Results/conclusion] It can be found that the fragmented nature and biases of the data are the starting points for risk occurrence; the ecological imbalance of the data is an external cause leading to risk; mean⁃while, the "black box" training data, biased data labeling, and lax data desensitization are internal causes of risk occur⁃rence.Therefore, targeting the characteristics of training data, a comprehensive risk governance scheme that encompass⁃es legal, market, community norms, and frameworks can be constructed using the "compassionate dots" framework.
  
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  On the Background, Characteristics and Development Strategy of the Deep Openness of Government Data in China

  Di Liya

  Information and Documentation Services. 2024, 45(4): 96-103. https://doi.org/10.12154/j.qbzlgz.2024.04.010

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  [Purpose/significance] The deep opening of government data indicates that China will enter the stage of open and utilization of government data based on user demand, high value and high quality. [Method/process] The pa⁃per adopts literature research and comparative research methods to explain and analyze the meaning, background, char⁃acteristics, and development strategies of deep openness of government data from the perspective of the phased develop⁃ment of open government data in China. [Result/conclusion] It is proposed to further promote the supply-side reform of open government data, actively explore the effective circulation mechanism of public data primary processing data factors, optimize the realization method of public data property rights structural separation and right allocation to pro⁃mote the strategy of deepening open government data in China.
  
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  Practice Pattern Observation and Theoretical Model of the Counterpoint Coordinated Development of Public Cultural Service and Cultural Industry

  Zhang Jing, Shang Jie

  Information and Documentation Services. 2024, 45(4): 104-112. https://doi.org/10.12154/j.qbzlgz.2024.04.011

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  [Purpose/significance] Counterpoint coordinated development mechanism between public cultural service and cultural industry is a major innovation of socialist cultural developing with Chinese characteristics. Accelerating the construction of new developing pattern and promoting quality development, further improvement of this mechanism carries great significance. To observe the practical patterns in a two-way perspective is a benefit micro-entry point for rethinking macro strategies. [Method/process] The public cultural service in cultural industrial parks is one of the five counterpoint coordinated developing patterns. This research uses Grounded Theory by selecting four of the samplesin Huangpu District of Guangzhou. In this research, issues as construction motivation, construction mode, value embodi⁃ment and influencing factors naturally emerged. [Result/conclusion] Counterpoint coordinated developing model is ini⁃tially constructed, pointing out that strengthening the government's leading role and adhering to public interest attri⁃butes are basic premise, strengthening win-win development and mutual benefit platform are underlying logic for sus⁃tainability, and the assessment system should be reconstructed by emphasizing counterpoint and advocating mutual benefits.