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Technology-Driven and User Experience-Focused: Identifying the Pathway for High-Quality Development of Digital Culture JIANG Tingting, CHEN Xue, SUN Zhumo Documentation, Informaiton & Knowledge    2024, 41 (6): 83-93,112.   DOI: 10.13366/j.dik.2024.06.083 Abstract （463）      PDF（pc） （433KB）（6350）       Knowledge map    Save [Purpose/Significance] This paper aims to strengthen the theoretical foundation in the field of digital culture, providing practical guidance for the ideation, creation, and evaluation of digital cultural products or services, and invigorating the vitality of the digital culture industry and sector. [Design/Methodology] This paper first investigates the application of immersive media and natural interaction technologies in existing digital culture products or service. Then, in response to the technology-oriented pitfalls in past digital cultural practices, it proposes a novel "One-Engine & Two-Wings" model that positions digital technologies as the engine and user experience design and measurement as the two wings. [Findings/Conclusion] The "One-Engine & Two-Wings" model for digital culture incorporates the highly regarded "User-centered" concept of digital experience design, and emphasizes on understanding digital culture user needs , identifying user preferences, and analyzing user feedback, which are previously overlooked. Finally, this paper anticipates three future trends of digital culture: multi-sensory presentation, multi-modal interaction, and multi-method user experience measurement. [Originality/Value] Through theoretical explorations and practical lessons learning from past experiences, this paper highlights the significance of both emerging technologies and user experience in promoting the high-quality development of digital culture. Related Articles | Metrics | Comments（0）

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Interactive Digital Narrative in Cultural Heritage Conservation: Concepts, System Elements, and Improving Measures YU Min Documentation, Informaiton & Knowledge    2024, 41 (5): 65-75.   DOI: 10.13366/j.dik.2024.05.065 Abstract （591）      PDF（pc） （454KB）（3905）       Knowledge map    Save [Purpose/Significance] Integration interactive digital narrative into the conservation of cultural heritage represents a significant endeavor to share the digital accomplishments of Chinese culture widely. At the same time, it embodies a flexible practice of integrating digital technology with cultural heritage, aligning seamlessly with a series of national digital cultural strategies. [Design/Methodology] Through extensive literature research, the history and development of interactive digital narrative theory have been systematically reviewed. Furthermore, the connotation and element framework of interactive digital narrative have been succinctly summarized. Guided by this framework, we analyze the case of the interactive digital narrative project Digital Library Caves within the context of cultural heritage preservation. [Findings/Conclusion] Interactive digital narrative has the potential to provide multi-layered narrative fields for the conservation of cultural heritage, establish a diverse matrix of participants, explore innovative methods for story design, and bridge temporal and spatial gaps. Moving forward, emphasis should be placed on condensing cultural spirit within narrative texts, actively expanding the boundaries of the narrative participant matrix, skillfully balancing discourse through the flexible use of narrative techniques, and consistently integrating cutting-edge technologies to enrich the narrative form. [Originality/Value] This paper systematically expounds the connotation and elements of interactive digital narrative, and provides a framework reference for digital protection and exhibition of cultural heritage. Related Articles | Metrics | Comments（0）

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Cultural Memory: From Postmodern Era to Post-Digital Era XIA Cuijuan Documentation, Informaiton & Knowledge    2024, 41 (6): 75-82.   DOI: 10.13366/j.dik.2024.06.075 Abstract （543）      PDF（pc） （317KB）（3589）       Knowledge map    Save [Purpose/Significance] On the occasion of Jan Assmann's passing, the pioneer of cultural memory theory, this paper provides a comprehensive review and summary of the key concepts and contributions of cultural memory theory. It also sorts out its development and significant academic influence, while paying homage to scholars and the pursuit of academic research itself. [Design/Methodology] Based on literature analysis, this paper interprets the post-modernity nature of the cultural memory theory to trace the origin of its interdisciplinary influence. [Findings/Conclusion] This paper proposes that digital memory has become the new form and new normal of cultural memory in the digital intelligence era, and digital humanities encompasses a broad spectrum of research on memory in the digital intelligence era. It also examines the correlation between digital memory and digital humanities dialectically. [Originality/Value] With the advancement of metaverse and artificial intelligence technology represented by large language models, a new trend of memory research in the post-digital era is anticipated and some new issues in this field are proposed. Related Articles | Metrics | Comments（0）

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The Generation Mechanism of Anxiety in AI Face-swapping Technology: Findings of SEM and fsQCA XIE Xingzheng, DUAN Qiuting Documentation, Informaiton & Knowledge    2024, 41 (5): 103-114, 127.   DOI: 10.13366/j.dik.2024.05.103 Abstract （443）      PDF（pc） （567KB）（3090）       Knowledge map    Save [Purpose/Significance] Grounded on the theory of social ecosystem, this study explores the generation mechanism of AI face-swapping technology anxiety, which aims to provide ideas for promoting the popularization of AI technology. [Design/Methodology] A combined approach of structural equation modeling（SEM）and fuzzy-set qualitative comparative analysis（fsQCA）was employed to examine the effects of neuroticism and individual innovativeness, negative word-of-mouth on AI face-swapping technology anxiety by analyzing 500 online questionnaire data. [Findings/Conclusion] The SEM results show that neuroticism and negative word-of-mouth have a positive impact on AI face-swapping technology anxiety. However, individual innovation has no significant effect on AI face-swapping technology anxiety and only perceived invasiveness plays a mediating role in the two paths. Furthermore, the fsQCA results illustrate that invasive sensitive and invasive insensitive configurations can trigger the generation of anxiety related to AI face-swapping technology. [Originality/Value] Differing from traditional research approaches that attribute technological anxiety to user cognition or skill deficiencies, this study delves into users' psychological perceptions of artificial intelligence technology and verifies the roles played by micro and mesoscopic factors on the generation of AI face-swapping technology anxiety. Related Articles | Metrics | Comments（0）

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Never Say too Late: How Older Adults' Short Video Watching Behavior Affects Their Mental Health? ZHOU Dong, LI Wu Documentation, Informaiton & Knowledge    2024, 41 (5): 36-45, 64.   DOI: 10.13366/j.dik.2024.05.036 Abstract （737）      PDF（pc） （411KB）（2798）       Knowledge map    Save [Purpose/Significance] This study explores the underlying conditions for older adults' use of social media to optimize their well-beings and empirically examines the impact of short video watching on older adults' mental health for policy implication. [Design/Methodology] Drawing on relevant theories from information sociology, communication psychology, and economics, we first proposed an analytical framework and research hypotheses based on the perspective of compensation-selective optimization theory, and then empirically examined the impacts of short video platform use on the levels of depression and happiness of older adults aged 60 and above with a nationally representative data in 2020. Our aim was to investigate the effective mediators of short video viewing behavior that integrates optimal compensatory selection for health and social needs in reducing physical and psychological social isolation among the elderly. [Findings/Conclusion] Evidence show that short video watching behavior is not significantly and directly associated with depressive symptoms or happiness among older adults, however can significantly affect health behaviors and social connectedness. Health behaviors and social connectedness both have a direct predictive impact on reducing the level of depression in the elderly and also play significant positive mediating roles in the correlation between short-video viewing and older adults' mental health. Importantly, there exists a nonlinear relationship between times spent on internet and mental health of the elderly. The positive mediating effect of health behavior would disappear if one uses Internet over 5 hours. [Originality/Value] This study innovatively analyzes impacts of rational and irrational new media platform use through a compensatory selective optimization theoretical perspective and examines mediating effects of reducing physical and mental isolation in the relationship of short video watching and mental health. Related Articles | Metrics | Comments（0）

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The Types, Characteristics and Influencing Factors of Information Behavior in People with Health Anxiety CHEN Yini, ZHOU Xiaoying, YUE Lixin, CHI Wenhao Documentation, Informaiton & Knowledge    2024, 41 (5): 89-102.   DOI: 10.13366/j.dik.2024.05.089 Abstract （528）      PDF（pc） （466KB）（2361）       Knowledge map    Save [Purpose/Significance] By analyzing the types, characteristics and influencing factors of information behavior of people with health anxiety, this paper intends to explore the causes and processes of the formation of information behavioral characteristics among people with health anxiety, find out the problems of individuals with health anxiety when using network health information, and put forward suggestions for network health information management. [Design/Methodology] The in-depth interview and non-interference research methods were respectively adopted to conduct Grounded theory coding analysis on the interview data and WeChat group chat records, identify the types of information behavior, behavioral characteristics, and influencing factors of people with health anxiety, analyze and explain the information behavior types, influencing factors and their interaction relationships. The formation process and reason of information behavior were discussed. [Findings/Conclusion] The information behavior of people with health anxiety is carried out under the influence of information cognition bias, individual needs, individual motivation and network environment. It mainly involves information searching behavior, information evaluation behavior, information utilization behavior, information sharing behavior and information avoidance behavior. And gradually, it presents three major behavioral characteristics: obsessive needs and associations for health information, high requirements for health information, and extreme reliance on health information. [Originality/Value] This study analysed the influence of information cognitive bias on information behavior of people with health anxiety, summarized the types and typical characteristics of information behaviors of people with health anxiety. Related Articles | Metrics | Comments（0）

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Ecological Collaborative Governance of Network Information Content Based on Institutional Text Analysis YAN Weiwei, SONG Jiahui, WANG Yanyan Documentation, Informaiton & Knowledge    2024, 41 (5): 115-127.   DOI: 10.13366/j.dik.2024.05.115 Abstract （402）      PDF（pc） （451KB）（2127）       Knowledge map    Save [Purpose/Significance] Under the background of the platform economy development, the information content governance in the network platform has become an important part of the national strategy. Building the framework and model of ecological collaborative governance of network information content is helpful to improve the comprehensive network governance system and create a purified cyberspace. [Design/Methodology] Based on the three-level coding procedures in the grounded theory method, 77 institutional documents from three levels of the government, industry organizations and platforms were coded, and 160 initial concepts, 31 categories, 10 sub-categories and 3 main categories were obtained. Combining with the content analysis method, this paper revealed the elements of network information content ecological structure and constructed a collaborative governance framework, and further explored the collaborative governance mode around the subjects collaborative relationship. [Findings/Conclusion] Network information content ecology includes three elements: governance objects, governance subjects, and governance activities; the government, industry organization, platform and users carry out governance activities in accordance with the three aspects of institution regulations, management work, and handling methods, and mainly carry out collaborative governance work in governance links such as "preventive governance, immediate governance, and result-oriented governance". [Originality/Value] Based on the institutional requirements at three levels, combined with the deconstruction analysis from the perspective of information ecology, this paper builds the network information content ecological collaborative governance framework and mode, reveals the operation mechanism of collaborative governance and insufficient, which enriches the theory system of network information content governance, and the optimization strategy can provide guidance for orderly practice of Internet information content management with Chinese characteristics. Related Articles | Metrics | Comments（0）

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Identity Symbol or Audio-Visual Symbol: A Study of the Effect of Symbols on Emotion Arousal and Value Co-Creation in Government Anti-Fraud Short Videos ZHANG Min, ZHANG Ke Documentation, Informaiton & Knowledge    2024, 41 (6): 127-140.   DOI: 10.13366/j.dik.2024.06.127 Abstract （321）      PDF（pc） （608KB）（2103）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to explore the influence of identity symbols and audio-visual symbols on users' emotion arousal and the effect of value co-creation in government anti-fraud short videos, with emotion arousal experience as a mediating factor linking symbolic interaction and value co-creation in order to reveal the mechanism of the value co-creation process in government short videos. [Design/Methodology] The experimental method based on contextual simulation was used to collect user experience data, in which the remote eye-tracking device was used to collect emotion arousal data, and the questionnaire scale were used to collect data on the effectiveness of value co-creation, after which descriptive statistics, ANOVA, and regression analysis were used to explore the effects of the identity symbols and audio-visual symbols on the emotion arousal and value co-creation of the users, and Bootstrap was used to carry out mediation and effect tests of the emotion arousal. [Findings/Conclusion] The more diverse the audio-visual symbols in government short videos, the better the effect of users' emotion arousal and value co-creation will be; among the identity symbols, the symbols of victim and fraud criminal bring the best emotional arousal and value co-creation, followed by symbols of the police, and the worst are symbols of celebrity. When the independent variables are the audio-visual symbols with multi and identity symbols with victims, the emotion arousal has a significant mediating effect on the value co-creation. [Originality/Value] Using non-interventional eye-tracking experiment to collect emotional data, this paper demonstrates the feasibility of utilizing eye-movement signals for emotion recognition under multimodal information stimulation. Drawing on symbolic interaction theory, it elucidates the emotional and cognitive interaction mechanisms of government short videos users at the micro psychological level, examining the dynamics from the perspectives of identity symbols and audio-visual symbols, offering practical insights for enhancing the depth of meaningful interaction between government short videos and their users. Related Articles | Metrics | Comments（0）

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Unravelling Factors Influencing Generation Y's Digital Overuse via Configurational Perspective GONG Hongcun, DENG Sanhong, YANG Jie, KONG Jia, CAO Gaohui Documentation, Informaiton & Knowledge    2024, 41 (5): 128-137,149.   DOI: 10.13366/j.dik.2024.05.128 Abstract （375）      PDF（pc） （389KB）（2066）       Knowledge map    Save [Purpose/Significance] Digital overuse has a negative social impact on user well-being, interpersonal relationships, and work productivity. Exploring the complex mechanisms underlying the antecedents of mobile digital overuse helps users move toward moderate and meaningful human-computer interactions and mitigate the negative effects of digital technology. [Design/Methodology] Based on the framework of digital well-being, this paper constructs a configuration model of mobile digital overuse of Generation Y through exploring the combinations and interplay of personal, device and environment attributes in leading to digital overuse in Generation Y. Empirical data are collected via online survey to Generation Y respondents in China in 2023 with 158 valid responses. The necessary conditions of digital overuse are analyzed by NCA, and the conditional analysis of digital overuse are analyzed by fsQCA. [Findings/Conclusion] Three necessary conditions and four paths leading to digital overuse are found respectively such as digital literacy, perceived usefulness of digital well-being applications, and social digital pressure, and among which gender, fear of missing out, actual digital usage hours, and non-work time electronic communication expectation are the core conditions leading to users' mobile digital overuse. [Originality/Value] This study locates digital overuse behavior from a non-clinical perspective and confirms the asymmetrical nature of mobile digital overuse causality outside of an addiction framework, expanding the understanding of the mechanisms that generate digital overuse. Related Articles | Metrics | Comments（0）

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Experiences and Enlightenment of Science and Technology Information Systems Construction in Sci-Tech Powers PU Hongjun, CHEN Yunwei, LIU Hao, LIU Qing Documentation, Informaiton & Knowledge    2024, 41 (6): 113-126.   DOI: 10.13366/j.dik.2024.06.113 Abstract （381）      PDF（pc） （488KB）（1973）       Knowledge map    Save [Purpose/Significance] This study aims to analyze the current development status and challenges of China's Science and Technology（S&T）Information System, synthesizing construction experiences from major sci-tech powers in constructing their own systems, thereby offering references for China. [Design/Methodology] The study investigates the experiences of building S&T Information Systems in the United States, the United Kingdom, Germany, and Japan, and summarizes the common features in terms of policy regulations, organizational activities, S&T information resources, intelligence research methods, the role of think tanks and research libraries and talent team construction. [Findings/Conclusion] The S&T Information Systems in countries such as the United States, the United Kingdom, Germany, and Japan has been tailored to adapt to the demands of S&T competition as well as national security.These nations have established a coordination mechanism of "Government-Industry-Education-Research-Society". Their development of information resources, technical methods, and talent construction is at the forefront globally. Based on the development requirements of the new era, China should strengthen efforts in developing key components such as system mechanisms, information resources, technical methods, talent teams to gradually improve our S&T Information System. [Originality/Value] This study reveals the key issues that need to be addressed in the construction of China's S&T Information System, and proposes strategic suggestions for improving our S&T Information System. Related Articles | Metrics | Comments（0）

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Challenges of Artificial Intelligence Large Models to the Basic Theory of Archival Science and Its Response XU Yongjun, CHEN Xiaoting , YAN Jing Documentation, Informaiton & Knowledge    2025, 42 (1): 57-69.   DOI: 10.13366/j.dik.2025.01.057 Abstract （280）      PDF（pc） （437KB）（1941）       Knowledge map    Save [Purpose/Significance] The large models of artificial intelligence pose challenges and transformations to the basic theories of archival science, and it is urgent to explore how the large models can drive the innovation and advancement in the basic theories of archival science. [Design/Methodology] By comparing the key points of the basic theories of archival science in the traditional era and the era of artificial intelligence, this paper elaborates the response of the basic theories of archival science to the challenges of the large models, and further explains the question "How do the large models of artificial intelligence affect the basic theories of archival science? And how should the basic theories of archival science respond to the challenge posed by the large models of artificial intelligence?" [Findings/Conclusion] The large models of artificial intelligence have brought challenges to the basic theories of archival science, such as the narrow concept of the principle of provenance, the extension of the records life cycle theory, the transformation of archival value, the lack of credibility in archival appraisal theory, the pin but not destroy, and the crisis of the subject of the construction of the archival memory concept. In response to these challenges, the basic theories of archival science need to undergo self-adjustment and innovation: rediscover the concepts and contexts of the new provenance perspective, emphasize the dynamic continuity of the records life cycle, focus on the credibility assessment in archival appraisal theory and the right to be forgotten, regulate the power of algorithmic, and assert control over the discourse of memory. [Originality/Value] From a theoretical perspective, this article re-examines the challenges posed by large models to the basic theories of archival science, and how the basic theories of archival science should self-correct to respond appropriately, so as to provide theoretical guidance for archival work in the era of artificial intelligence. Related Articles | Metrics | Comments（0）

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Toward Smart Libraries: A Smart Empowerment Scheme Design for Library Management Systems ZHU Jiaqi, MENG Gaohui, LIU Chang, ZHANG Jiuzhen Documentation, Informaiton & Knowledge    2024, 41 (6): 64-74.   DOI: 10.13366/j.dik.2024.06.064 Abstract （626）      PDF（pc） （411KB）（1883）       Knowledge map    Save [Purpose/Significance] The smart construction of library management systems is an important part of the construction of smart libraries. The smart construction of library management systems in China is still in its early stages, and this paper attempts to design a smart empowerment scheme for library management systems to assist libraries in upgrading their management systems. [Design/Methodology] By adopting the case study approach, selecting 29 representative libraries as research subjects, this study sorts out the current situation and characteristics of their practices in the smart construction of management systems, and analyzes the existed problems. [Findings/Conclusion] The current smart construction of library management systems has acquired a good initial start, relying on digital intelligence technology and primary focusing on localized smartification, while there are also some problems such as a lack of integrated construction schemes, the uneven progress of construction, and limitations in hardware and software infrastructure. Based on the current situation, characteristics, and problems of smart construction, this paper proposes a smart empowerment scheme for library management systems, introducing the object, the process and the environment of empowerment. [Originality/Value] The proposed empowerment scheme helps to fill the lack of integrated construction schemes, and can offer reference for the smart construction of library management systems in the future. Related Articles | Metrics | Comments（0）

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Review on the Application of Artificial Intelligence in the Field of Long-term Preservation of Digital Resources WU Xinyu, WU Zhenxin Documentation, Informaiton & Knowledge    2025, 42 (1): 146-157.   DOI: 10.13366/j.dik.2025.01.146 Abstract （203）      PDF（pc） （372KB）（1843）       Knowledge map    Save [Purpose/Significance] In order to promote the application and practice of intelligent technology in the field of long-term preservation of digital resources, realize the deep processing and exploration of information, further promote the high-quality development of long-term digital resources preservation, this paper explores the organic combination of artificial intelligence with long-term preservation of digital resources.[Design/Methodology] This paper investigates the current research progress of long-term preservation institutions both at home and abroad. It sorts out the application scenarios of artificial intelligence in the field of long-term preservation of digital resources based on the division of functional modules of OAIS model, and subsequently analyzes the research status and existing problems on this basis. [Findings/Conclusion] The study finds that current AI technologies has been essentially applied in the core functionalities of preservation workflows. Their further development promises to a comprehensive transformation for long-term preservation. However, there remain challenges such as technical risks, incomplete understanding, and a lack of comprehensive solutions. To ensure the sustainable development of long-term preservation of digital resources while upholding their inherent characteristics, it is imperative to seize emerging technological opportunities and actively seek viable solutions in long-term preservation of digital resources. [Originality/Value] This study systematically reviews the application of artificial intelligence in long-term digital resources preservation, encompassing the entire process of preservation. It outlines the characteristics and patterns of artificial intelligence applications in long-term preservation work both domestically and internationally, and establishes an implementation framework for preservation strategies. Related Articles | Metrics | Comments（0）

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The Transformation and Innovative Development of Smart Healthcare Knowledge Management System from the Perspective of the Emergence of Large Models GU Dongxiao, ZHAO Wang, WANG Xiaoyu, TANG Zhiwei, ZHU Kaixuan Documentation, Informaiton & Knowledge    2025, 42 (1): 44-56.   DOI: 10.13366/j.dik.2025.01.044 Abstract （264）      PDF（pc） （564KB）（1394）       Knowledge map    Save [Purpose/Significance] The emergence of Large Models is reshaping the knowledge system and management methods in healthcare, necessitating an in-depth exploration of the significant impacts, evolutionary pathways, management strategies, and cutting-edge applications of this phenomenon and its characteristics on the knowledge framework within the medical field. [Design/Methodology] This paper conducts a comprehensive analysis of the emergence phenomenon and characteristics of Large Models, using them as a lens to systematically sort out the constituent elements and evolutionary forms of the health and medical knowledge system. On this basis, a dynamic management framework for health and medical knowledge under the perspective of emergence of Large Models is proposed, and the development prospects of the frontier areas of health and medical large models are summarized. [Findings/Conclusion] From the perspective of emergence of Large Models, this study elucidates the interaction and dynamic transformation relationships both within the three main elements of the health and medical knowledge system, and between its internal and external environment. Furthermore, a corresponding dynamic framework for health and medical knowledge management is proposed. [Originality/Value] This study reveals the potential impact of Large Models' emergence on the health and medical knowledge system and management approaches, and proposes a new model of healthcare knowledge management from the perspective of Large Models' emergence. Related Articles | Metrics | Comments（0）

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A Study on User Needs and Satisfaction for Multiple Library Services Based on a Large-Scale Survey LIU Chang, MENG Gaohui, LIN Bo, XIAO Long Documentation, Informaiton & Knowledge    2024, 41 (6): 28-40,53.   DOI: 10.13366/j.dik.2024.06.028 Abstract （566）      PDF（pc） （586KB）（1332）       Knowledge map    Save [Purpose/Significance] Under the background of the "14th Five-Year Plan" for public services and in response to the instructions from the CPC Central Committee on survey research, this paper intends to carry out a large-scale survey on users' needs and satisfaction for the multiple library services, so as to provide a survey basis for domestic library services to transform towards a user-centered and high-quality development model. [Design/Methodology] Through a questionnaire survey method, we collected a total of 7,314 users' characteristics data, from a wide range of users with different regions, ages, education levels, incomes, occupations, and places of residence. By using descriptive statistics, difference tests and the two-dimensional quadrant method, we described users' library-related behaviors characteristics, their needs and satisfaction for the multiple library services. Then we conducted regression analysis to identify the factors influencing users' needs and satisfaction. [Findings/Conclusion] This paper delineates users' behavioral characteristics, such as the frequency of libraries utilization, the types of libraries employed, the familiarity level with library services, and the channels for obtaining library service information. It reveals that there are significant differences in users' need intensity and satisfaction levels for various library services, and identifies that the personal and behavioral characteristics of users will affect their needs for library services and jointly influence their satisfaction with library services. [Originality/Value] From the user's perspective, this paper portrays the current state of domestic library services, indicates potential directions for the construction of library services, and offers feasible ideas for the improvement of library services. Related Articles | Metrics | Comments（0）

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Strengthening Information Resources Management to Empower New Quality Productive Forces LI Guangjian, PAN Jiali Documentation, Informaiton & Knowledge    2024, 41 (6): 14-27.   DOI: 10.13366/j.dik.2024.06.014 Abstract （372）      PDF（pc） （475KB）（1128）       Knowledge map    Save [Purpose/Significance] This paper aims to explore the role of information resources management in the formation and development of new quality productive forces, and analyze its key role in promoting the optimization and upgrading of industrial structure, improving total factor productivity, and constructing a modern industrial system. The goal is to provide theoretical support and practical reference for Chinese-style Modernization from the perspective of information resources management discipline construction. [Design/Methodology] Through literature review and case analysis, this paper systematically elucidates the concept, connotation, and characteristics of new quality productive forces. It also examines the mechanism of information resources management within the new quality productive forces system from four dimensions: technology and innovation, economy and market, talent and education, policy governance and sustainable development. Additionally, the paper discusses the strategies and pathways of information resources management in breaking through the bottlenecks of traditional industries, promoting the development of emerging industries, and fostering the germination of future industries. Furthermore, it analyzes the challenges faced by information resources management in the process of supporting the development of new quality productive forces and proposes corresponding countermeasures and suggestions. [Findings/Conclusion] Information resources management plays a significant role in promoting the high-quality transformation of economic development. Its integration with cutting-edge information technology, interdisciplinary and integration, assetization and life-cycle management of information resources, consensus on data as a factor of production, and the standardization construction of the discipline are key issues that should be focused on at present in the field of information resources management. [Originality/Value] This paper systematically constructs a theoretical framework for the interaction between information resources management and new quality productive forces, and proposes the development direction and strategies of information resources management in the context of the new era, providing new perspectives and practical pathways for the construction of the information resources management discipline and the cultivation of new quality productive forces. Related Articles | Metrics | Comments（0）

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Information Science: History and Identity Michael Seadle, Translator: WANG Di Documentation, Informaiton & Knowledge    2024, 41 (5): 6-15.   DOI: 10.13366/j.dik.2024.05.006 Abstract （531）      PDF（pc） （353KB）（1124）       Knowledge map    Save This article uses excerpts from Professor Michael Seadle's forthcoming book Information Science: History, Philosophy, Applications. It recapitulates contents presented in Professor Seadle's keynote lectures during the 2024 iConference, the annual conference of the iSchools organisation. The purpose is to introduce readers to the origin of Information Science and how it developed over time in multiple cultures. The origin of the iSchools is also explained from the viewpoint of one of the founders. The content relies both on Professor Michael Seadle's experience as one of the founders of the iSchools, and on standard historical sources. It has a breadth coverage of knowledge and explores the role of information in multiple cultures with an emphasis on the Europe and China. The facts show that information is as old as humans and is integral to virtually everything that people do. The historical perspective and the international emphasis is missing from many works about information. Related Articles | Metrics | Comments（0）

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Legal Responses of Copyright Law to Generative Artificial Intelligence Training Data: Solutions to Copyright Compliance DAI Wenyi, XIAO Dongmei Documentation, Informaiton & Knowledge    2025, 42 (1): 89-100.   DOI: 10.13366/j.dik.2025.01.089 Abstract （252）      PDF（pc） （397KB）（1112）       Knowledge map    Save [Purpose/Significance] The copyright risks of generative artificial intelligence（AI）training data have currently drawn widespread attention. It is necessary to propose a copyright compliance scheme based on an in-depth analysis of specific risks to provide guidance for relevant obligated subjects. [Design/Methodology] Based on China's copyright-related system, following the judgment process of "whether it falls within the scope of copyright control - whether it constitutes fair use", this paper analyzes the usage behaviors and copyright risks across the stages of data input, model training and content output. [Findings/Conclusion] The finding indicates that there is no risk of copyright infringement during the model training stage. However, the data input stage carries risks related to infringement of the right of reproduction. During the content output stage, there are risks of infringement of the rights of reproduction, adaptation, integrity protection, information network dissemination and broadcasting. Therefore, the service providers who also act as model trainers must develop copyright compliance schemes for both works in the public domain and within the copyright protection period. Pure service providers need to prevent the continuation of risks during the model development stage and ensure copyright compliance during the service provision stage. [Originality/Value] This paper analyzes the copyright risks of associated with generative artificial intelligence training data in detail, and proposes some solutions for ensuring copyright compliance, providing copyright compliance guidance for enterprises and institutions to carry out model training and deliver external service activities. Related Articles | Metrics | Comments（0）

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An Index System for Evaluating Driving Force for Data Element Marketization LIU Yuenan, REN Ming, ZHOU Wenhong, WANG Weijiu, HUANG Qianqian Documentation, Informaiton & Knowledge    2024, 41 (5): 16-24,35.   DOI: 10.13366/j.dik.2024.05.016 Abstract （507）      PDF（pc） （352KB）（1060）       Knowledge map    Save [Purpose/Significance] This study aims to establish an index system for evaluating driving force for data element marketization, so as to discover the key factors and strategies for the development of data elements market, and promote the development of data elements theories and practice. [Design/Methodology] Employed text analysis, expert consultation and other methods, this paper constructed an evaluation index system for the marketization of data elements. [Findings/Conclusion] An evaluation index system with three dimensions of basic environment, guarantee support and implementation promotion is developed. The system is further refined into four-level, with 33 indicators. Drawing from the actual application and validations in China, proposals for optimizing the index system are proposed. [Originality/value] From the perspective of government as leaders on promoting the marketization of data element, this paper integrates the basic theories and methods of information resource management discipline and constructs an index system for evaluating driving force for data element marketization. Related Articles | Metrics | Comments（0）

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The Mechanism of Artificial Intelligence Enabling the Development of Smart Libraries WANG Xi Documentation, Informaiton & Knowledge    2024, 41 (6): 94-101,165.   DOI: 10.13366/j.dik.2024.06.094 Abstract （344）      PDF（pc） （354KB）（1037）       Knowledge map    Save [Purpose/Significance] This study focuses on analyzing the mechanism of artificial intelligence enabling the development of smart libraries, and provides reference for the construction of smart library. [Design/Methodology] Employing Grounded theory, in-depth interviews with experts and practitioners in the library field, and coding techniques to process the collected data, we construct a conceptual model of the mechanism of action of AI-enabled smart library development. [Findings/Conclusion] The development mechanism of smart libraries in the artificial intelligence technology environment is a complex process that integrates technical support and user experience optimization. At the level of smart technology, artificial intelligence enhances the daily operational efficiency of the libraries; at the level of smart resources, it improves the efficiency of resource utilization, acquisition, and organization; in terms of smart space, it creates a more humanized and personalized learning and communication environment; at the level of smart services, it improves the service response speed and quality, and enhances user satisfaction and loyalty; in terms of smart management, it provides strong support for management decision-making, performance assessment, and resource optimization. [Originality/Value] This study reveals the action mechanism of artificial intelligence empowering the development of smart libraries, advancing the theoretical research on smart libraries and offering strategic references for library managers. Related Articles | Metrics | Comments（0）

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Research on the Change of Library User Demand in the Digital Intelligence Era ZHANG Chunhong, ZHANG Danyang, WANG Guimin Documentation, Informaiton & Knowledge    2024, 41 (6): 54-63.   DOI: 10.13366/j.dik.2024.06.054 Abstract （304）      PDF（pc） （364KB）（1001）       Knowledge map    Save [Purpose/Significance] This paper intends to clarify new demands of different user groups using library services, and discover the future development trend of library services, based on the research of library users classification and their behavioral characteristics in the digital intelligent era. [Design/Methodology] Utilizing a combination of analytical methods, such as literature review, questionnaire survey, expert prediction, hot topic identification, and case analysis, this study classifies user types of library, and conducts predictive research based on user classification and their behavioral characteristics. Ultimately, it summarizes the motivations and objectives of users in using library services, clarifies the changes in user behavior and service demands. [Findings/Conclusion] Based on the analysis of alterations in user demands, this paper discovers the development trend of library services in the next five years and reaches the following key conclusions. The libraries have an extremely large user group, which can be roughly divided into seven types, including research users, learning users, leisure users, experience users, intelligence users, cooperative users and special needs users. Their demands show a diversified development trends, which can be summarized as intelligence, specialization, personalization, diversification, humanization, practicality, precision and virtualization, as reflected in the user demands and expectations for various projects, channels, processes, and the overall library services or functions. [Originality/Value] Based on multiple analysis methods, this paper conducts the classification of users, analysis of library service demand changes and prediction of library service trend, it paving the way for new research perspectives in the fields of user studies and trend research. Related Articles | Metrics | Comments（0）

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Construction of User Screenshot Behavior Model in Social Media Environment: Based on Grounded Theory Reziya Aihaiti, ZHENG Xiaochuan, LI Shanshan, FAN Hao Documentation, Informaiton & Knowledge    2025, 42 (1): 101-112.   DOI: 10.13366/j.dik.2025.01.101 Abstract （219）      PDF（pc） （433KB）（986）       Knowledge map    Save [Purpose/Significance] The screenshot behavior of users in the social media environment is closely related to personal digital resource management and social trust construction. This article aims to systematically focus on and integrate user screenshot behavior, and construct a theoretical model of user screenshot behavior in social media environments. [Design/Methodology] Based on grounded theory, 22 interview materials and 681 posts crawled from Weibo are coded in three stages, and a user screenshot behavior model in social media environment is established. [Findings/Conclusion] The results show that user screenshot behavior in social media environment is mainly influenced by information, motivation, user, technology and environmental factors. At the same time, this study reveals the characteristics of screenshot behavior from three aspects: frequency, tools, and types of screenshot behavior. We also find that the alienation of screenshot behavior is mainly manifested in digital hoarding, communication risks, and intellectual property infringement. [Originality/Value] From the perspective of the discipline of information resource management, this paper takes screenshot behavior as one of the important user information behaviors in social media environment, and discusses its generation mechanism, behavior characteristics and alienation results. It then provides reference suggestions for social media users and platform services, help suppress the results of screen capture alienation behavior. Related Articles | Metrics | Comments（0）

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Promoting the Data Element Marketization: Progress, Problems and Solutions REN Ming, WANG Weijiu, ZHOU Wenhong, LIU Yuenan, YAO Aixin, WEN Lijun, GONG Yijin Documentation, Informaiton & Knowledge    2024, 41 (5): 25-35.   DOI: 10.13366/j.dik.2024.05.025 Abstract （617）      PDF（pc） （399KB）（956）       Knowledge map    Save [Purpose/significance] The aim of this paper is to systematically summarize the current practice advancement and experiences in promoting the marketization of data elements across various regions throughout China, to provide guidance for policy formulation and practical operations, and serve as an empirical basis for studies in related domains. [Design/Methodology] Based on the index system of evaluating driving force for data element marketization, an in-depth investigation is conducted to examine the ongoing practice in 31 provinces（autonomous regions and municipality）in China, from three aspects of fundamental environment, guarantee support, and implementation promotion. [Findings/Conclusion] Overall, the data element marketization in China exhibits a tiered distribution across three levels, along with significant regional characteristics. While all provinces have achieved positive results in the development of industrial environment development, institutional guarantee, technical platform construction, public data authorization and opening, as well as data circulation and trading. However, there are also challenges such as regional development imbalances, an incomplete institutional framework in the public data sector, and insufficient scale of on-market data trading. Based on these findings, this paper puts forward policy recommendations in three aspects including coordinating industrial development among regions, building a robust institutional support system, and enhancing public data supply to stimulate data circulation. [Originality/Value] This study conducts a thorough investigation on the advancement of the marketization of data elements, refines common issues, and summarizes experiences. It provides references for promoting the in-depth marketization of data elements. Related Articles | Metrics | Comments（0）

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Research on Semantic Representation and Organization Structure of Narrative Information HOU Xilong, WANG Xiaoguang Documentation, Informaiton & Knowledge    2024, 41 (5): 150-160.   DOI: 10.13366/j.dik.2024.05.150 Abstract （415）      PDF（pc） （406KB）（945）       Knowledge map    Save [Purpose/Significance] The narrative is the most important mode for the communication of knowledge or information among humans. In the age of digital intelligence, the semantic modeling, formal representation and organization of narrative are the basis and premise of computer processing, understanding and generating narrative information, and also help scholars to better understand and analyze narratives. [Design/Methodology] This article investigates the semantic representation models for narrative information in different fields at home and abroad, analyzes the core elements and compositions of those models, and also summarizes the organization structures of narrative information from the perspective of information organization. [Findings/Conclusion] It is found that there are significant differences and complexities in the semantic representation of narrative information, which are influenced by various factors such as underlying theories, application domains, media forms, etc. In addition, the organization structure of narrative information can be generally classified into two categories: event/time-based organization logic and structure/mechanism-based organization logic [Originality/Value] This article provides a systematic summary of the semantic representation and information organization of narrative in various domains, which is helpful to promote the understanding of narrative and semantic interoperability of narrative information. Related Articles | Metrics | Comments（0）

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Reflections on Some Issues of Science and Technology Innovation Evaluation Driven by Large Models ZHANG Yang, WU Tingting, HOU Jianhua Documentation, Informaiton & Knowledge    2025, 42 (1): 70-77,88.   DOI: 10.13366/j.dik.2025.01.070 Abstract （177）      PDF（pc） （314KB）（854）       Knowledge map    Save [Purpose/Significance] In the era of big science, the evaluation paradigm for science and technology innovation driven by large models is undergoing a profound change. Clarifying a number of issues on large model-driven evaluation for science and technology innovation can enhance the practical value and strategic guidance of such evaluations and provide powerful support for scientific and technological advancement and social development. [Design/Methodology] Based on the evolution of the evaluation of science and technology innovation and the main features of large model-driven evaluation for science and technology innovation, this paper deeply analyzes the main dimensions of applying large models to evaluate science and technology innovation. Furthermore, it reflects on several challenges faced by large model-driven evaluations and explores future development trends. [Findings/Conclusion] The evaluation of science and technology innovation driven by large models will become a key force for the transformation and progress of the new era's science and technology evaluation paradigm. Large models make science and technology innovation evaluation more intelligent, refined and personalized. The integrated development of large models with scientific research, technology development, science and technology evaluation, science and technology management will become an inevitable trend. [Originality/Value] A number of issues on the application of large models to science and technology innovation evaluation are analyzed to provide a reference and basis for the construction of an evaluation system for science and technology innovation with intelligence, refinement, systematization and personalization as the core and sustainability and responsibility as the orientation. Related Articles | Metrics | Comments（0）

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User's Interaction Behavior with Generative Artificial Intelligence in Daily Life Contexts WANG Jun, XIE Qingling, LIU Chang Documentation, Informaiton & Knowledge    2025, 42 (2): 60-69, 93.   DOI: 10.13366/j.dik.2025.02.060 Abstract （205）      PDF（pc） （381KB）（832）       Knowledge map    Save [Purpose/Significance] Generative artificial intelligence products are becoming a new channel for people to obtain information. Extensive empirical research is required to understand how people utilize and perceive generative artificial intelligence products, and how those products perform in helping people complete tasks in their everyday life contexts. This study focuses on skilled users of ChatGPT 3.5, and analyzes their interaction behavior with generative AI in daily life situations. [Design/Methodology] This study conducted a longitudinal study combined with diary and interview methods, recruiting college students who were ChatGPT proficient users. We recorded the specific process of their interaction with ChatGPT in daily life. The research integrated qualitative and quantitative analysis to categorize the types of tasks users completed with generative AI, and compared the differences in their interaction behaviors and levels of satisfaction when completing different types of tasks. [Findings/Conclusion] It is found that in daily life, the types of tasks completed by college users with ChatGPT can be categorized into five types according to cognitive complexity: information-acquiring tasks, comprehending tasks, operative tasks, analytic and evaluative tasks, and creative and expressive tasks. A relatively high level of users' satisfaction is shown in information-acquiring tasks, comprehending tasks, and operative tasks, while their satisfaction with analytic and evaluative tasks is slightly lower. There is significant differences in users' satisfaction with creative and expressive tasks. [Originality/Value] The research summarizes the task types from the cognitive level, providing an operable standard for the evaluation of AIGC in the future. It also helps explore users' needs for information in the era of intelligent communication, and enrich the research content and achievements in the field of information behaviors under the perspective of AI empowerment. Related Articles | Metrics | Comments（0）

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Special Talk on Paper: From Exploring “Information” to Writing Introduction to Information Resource Management MENG Guangjun Documentation, Informaiton & Knowledge    2024, 41 (6): 6-13.   DOI: 10.13366/j.dik.2024.06.006 Abstract （386）      PDF（pc） （308KB）（813）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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How to Enhance the International Policy Impact of Chinese Academic Papers: A Strategic Study Based on Multidimensional Quantitative Characteristics Analysis CAO Zhe, ZHANG Lin, SHANG Yuanyuan Documentation, Informaiton & Knowledge    2025, 42 (1): 29-43.   DOI: 10.13366/j.dik.2025.01.029 Abstract （222）      PDF（pc） （572KB）（757）       Knowledge map    Save [Purpose/Significance] This study explores the strategies through which Chinese academic papers influence international policy-making, aiming to provide insights for enhancing China's role in global policy governance. [Design/Methodology] Drawing on Lasswell's "5W" model of communication, this study constructs a theoretical framework for examining the impact of scientific research on policy-making. Using Chinese academic papers cited in policy documents released by United Nations as research samples, the analysis delves into the characteristics from three key perspectives: the producing entities, research content, and dissemination carriers. [Findings/Conclusion] Regarding producing entities, a significant proportion of the sample papers set are produced by non-university institutions, with notable collaboration between Chinese and international institutions. In terms of research content, the distribution of disciplines and sub-themes in the sample papers show a strong demand orientation. As for dissemination carriers, papers published in top international academic journals and those focused on addressing real-world problems and providing policy support are more likely to influence policy-making. However, Chinese institutions have limited publications in high-policy-visibility journals. [Originality/Value] This study constructs a "5W" analytical framework for examining the impact of scientific research on policy-making and conducts an empirical analysis. It offers three recommendations: matching institutional characteristics with policy service goals, leveraging the power of journals to enhance the visibility of research results in the policy arena, and strengthening the cultivation of collaboration with major international institutions and the involvement opportunities of Chinese scholars in these institutions. Related Articles | Metrics | Comments（0）

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Identifying Characteristics of Multilingual Users' Cross-Cultural Information Sharing: Taking Bilibili as an Example FAN Shu, WU Dan Documentation, Informaiton & Knowledge    2025, 42 (2): 36-47.   DOI: 10.13366/j.dik.2025.02.036 Abstract （157）      PDF（pc） （618KB）（746）       Knowledge map    Save [Purpose/Significance] The development of globalization has driven the online information sharing and interaction among multicultural users on social media. Paying attention to the characteristics of cross-cultural information sharing among multilingual users will help promote the multi-directional dissemination of excellent Chinese culture. [Design/Methodology] Taking videos about cross-cultural information sharing on Bilibili website as an example, using statistical analysis method and Latent Dirichlet Allocation（LDA）topic modeling, this study identified the characteristics of cross-cultural information sharing among multilingual users. [Findings/Conclusion] By exploring the content output characteristics, this paper discovers that multilingual users' video publishing exhibit the traits of short duration, high frequency, and rapid output. The most frequently shared topics are food experience, exploration activity, challenge test, language and culture, news and current affairs, as well as entertainment interaction. The analysis of platform support characteristics shows that officially certified multilingual users have higher level of engagement and activity. The platform's technical support and content recommendation mechanism help expand the coverage of cross-cultural information sharing. In addition, focusing on the trend, emotion and content characteristics of interactive feedback, three main types of interactive feedback are effectively identified: fluctuating interaction, growing interaction and active interaction. [Originality/Value] From the perspective of cross-cultural communication, the three dimensions of content, platform and interaction are integrated to reveal new regulations of information sharing behavior of multilingual users, which is beneficial to promote the international dissemination of excellent Chinese culture. Related Articles | Metrics | Comments（0）

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A Study on the Classification of Library Users Based on Needs for Multiple Library Services MENG Gaohui , HE Jiayu , LIU Chang Documentation, Informaiton & Knowledge    2024, 41 (6): 41-53.   DOI: 10.13366/j.dik.2024.06.041 Abstract （347）      PDF（pc） （570KB）（740）       Knowledge map    Save [Purpose/Significance] This paper targets large-scale user group of multiple services across various libraries to carry out a study on the classification and prediction of user types, aiming to provide references for the precise service construction of domestic libraries from a macro-perspective. [Design/Methodology] The questionnaire survey method was used to collect users' characteristics profile, which yielded 7,314 questionnaires from users across various libraries, including academic, public, and specialized libraries. Cluster analysis was used to classify user types based on their multi-service need characteristics. Difference tests were conducted to compare the personal, behavioral and service satisfaction characteristics of users of different types, and regression analysis was used to construct a prediction model for user types based on personal and behavioral characteristics. [Findings/Conclusion] Based on their multi-service need characteristics, this paper categorizes library users into five service need types: reading-oriented users, facility-oriented users, broad-need users, activity-oriented users, and leisure-oriented users. It is found that there are significant differences in the personal, behavioral, and service satisfaction characteristics among different types of users. We have successfully constructed a model for predicting users' service need types based on their external characteristics. [Originality/Value] This paper helps to bridge the gap in the research on the classification of user groups of multiple services across various libraries, and supports the service construction of domestic libraries in various aspects such as realizing precise services, strengthening proactive services, improving service experiences, refining service promotion, and optimizing the overall layout. Related Articles | Metrics | Comments（0）