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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 （753）      PDF（pc） （411KB）（2841）       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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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 （628）      PDF（pc） （411KB）（1897）       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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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 （621）      PDF（pc） （399KB）（1036）       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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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 （603）      PDF（pc） （454KB）（3938）       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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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 （571）      PDF（pc） （586KB）（1340）       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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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 （547）      PDF（pc） （317KB）（3631）       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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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 （536）      PDF（pc） （353KB）（1145）       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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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 （532）      PDF（pc） （466KB）（2370）       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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What Kinds of Research Are More Likely to Generate Policy Impact: Taking Classification and Multidimensional Characteristics of Academic Articles as Pathways CAO Zhe, SHANG Yuanyuan, ZHANG Lin Documentation, Informaiton & Knowledge    2025, 42 (1): 6-17,28.   DOI: 10.13366/j.dik.2025.01.006 Abstract （514）      PDF（pc） （704KB）（645）       Knowledge map    Save [Purpose/Significance] Supporting policy formulation is one of the significant reflections of the societal value of scientific research achievements, yet the intricate mechanisms of policy impact of scientific research achievements still remain unclear. This study focuses on the origins of policy impact, investigating the characteristics of policy impact produced by different types of academic papers. The relevant results can provide empirical evidence for scientific research managers to better understand and evaluate the societal value of scientific research achievements. [Design/Methodology] By delineating two primary dimensions of whether the research motivation is policy-oriented and whether the research content provides supportive or persuasive information, we construct a theoretical model for categorizing research articles in terms of policy impact. The specific implementation pathway for classifying different types is designed based on the abstracts of articles. Using articles within the field of biomedicine as an example, and following a framework of "policy impact diffusion – diverse impact comparison – research entity retrospective" to design multidimensional indicators, an empirical research is conducted to reveal the similarities and differences among different types of articles. [Findings/Conclusion] Among the articles with policy citations, policy-oriented papers under the types of action recommendation and decision support are more prevalent. Meanwhile, among the subset of articles with high policy citation counts, there is a higher proportion of papers that offer supportive information under the types of information provision and decision support. The immediacy and persistence of policy citations, along with the diversity of citing institutions and countries, all exhibit differentiated characteristics among these four types of articles. These articles demonstrate relatively consistent influence levels across different scenarios, particularly between online dissemination and policy support domains. From the subject perspective, a retrospective analysis of the causes of policy impacts reveals that international collaboration facilitates such impacts, and the four types of papers produced by different countries, along with their respective characteristics of policy impact, exhibit distinctive features. [Originality/Value] This study constructs a classification model and implementation framework for research articles from a policy impact perspective. It provides a new theoretical framework and methodological guidance for dissecting and understanding the policy impact of scientific research. 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 （509）      PDF（pc） （352KB）（1078）       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 Effect of an Empirical Knowledge-based Human-AI Interaction Approach on the Trust Experience of Older Adults SUN Xinxin, SUN Yanan, ZHAO Yuxiang, CHEN Zhuojing Documentation, Informaiton & Knowledge    2024, 41 (5): 46-55.   DOI: 10.13366/j.dik.2024.05.046 Abstract （466）      PDF（pc） （362KB）（661）       Knowledge map    Save [Purpose/Significance] In the context of a rapidly aging society, smart home care for the elderly has emerged as a crucial trend. Currently, poor transparency and interpretability in human-machine interactions cause low acceptance of intelligent technology and poor trust experience among the elderly. Exploring the role of interactive control methods and agent feedback mechanisms that incorporating experiential knowledge can contribute to improve the intention of elderly users and offer a novel trajectory for the design of human-intelligent interaction. [Design/Methodology] A controlled experiment of human-intelligence interaction was constructed, and a two-factors mixed experiment of 3（interaction control mode: voice/App/mechanical）×2（interaction feedback mode: calm/active）was conducted. Three groups of subjects were recruited, with 30 older adults in each group watching two sets of interaction demonstration videos of smart cameras, and the trust experience of human-intelligence interaction was measured by scale. [Findings/Conclusion] For the privacy avoidance function of the agent, when empirical knowledge is applied to the human-intelligence interaction control method, the interaction trust experience of the aged population can be significantly affected. The trust degree of pull cord control is significantly better than that of voice control and App control and the above effect exists in the calm feedback. During active feedback, the influence of experiential knowledge on trust experience is suppressed, and there is no significant difference between pull cord control and voice control. [Originality/Value] Focusing on the influence of experiential knowledge on the trust experience of older adults in the control mode of human-intelligent interaction, this paper accurately measures the trust experience of the seniors through controlled experiments, providing a theoretical basis for optimizing the interaction experience from the level of the trust experience, and enriching the basic criteria of intelligent agents interaction design. Related Articles | Metrics | Comments（0）

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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）（6403）       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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Li jiang Documentation, Informaiton & Knowledge    2024, 41 (5): 1-1.   Abstract （445）      PDF（pc） （74KB）（532）       Knowledge map    Save 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 （444）      PDF（pc） （567KB）（3106）       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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Construction of Health Information Portrait and the Identification of False Health Information by Integrating Social Sensing Data with Publisher's Prior Knowledge ZHAO Youlin, PANG Hangyuan, SHI Yanqing Documentation, Informaiton & Knowledge    2024, 41 (6): 141-154,165.   DOI: 10.13366/j.dik.2024.06.141 Abstract （431）      PDF（pc） （548KB）（551）       Knowledge map    Save [Purpose/Significance] The objective of this study is to explore how to integrate social sensing data ,containing rich individual emotion, behavior, and interaction information, with publisher's prior knowledge to enhance the accuracy of false health information recognition. [Design/Methodology] Based on the social sensing data and historical information text, this paper describes the prior knowledge of publishers about detection information. By integrating the publisher's prior knowledge, the study extracts health information features from three dimensions: publisher features, content features, and receiver behavior features. Concurrently, health information portraits are established and the Stacking ensemble learning models is used to build a False Health Information Recognition Model（FHIR_SSD&PPK）, a false health information recognition model that integrates social sensing data and publisher's prior knowledge. [Findings/Conclusion] FHIR_SSD&PPK model has the best effect in identifying false health information, with an accuracy of 92.35%. The total feature importance weight of the publisher features accounts for the highest proportion, at 51.59%, among which the feature importance weight of the publisher's prior knowledge features is 44.01%, and the F-Measure increases by 2.26% compared to the model without considering the publisher's prior knowledge, indicating that the publisher's prior knowledge proposed in this article is a key feature for building an identification model. [Originality/Value] The FHIR_SSD&PPK model integrates social sensing data and publisher's prior knowledge, identifies false health information based on the Stacking ensemble learning model, optimizing the research in fine granularity and depth. 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）（972）       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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"Borrow a Boat to Sail" or "Build a Boat to Sail": A Study on the Internationalization Process of Academic Journals of China SHANG Yuanyuan, CAO Zhe, ZHANG Lin Documentation, Informaiton & Knowledge    2024, 41 (5): 76-88.   DOI: 10.13366/j.dik.2024.05.076 Abstract （407）      PDF（pc） （699KB）（482）       Knowledge map    Save [Purpose/Significance] Currently, the scale and influence of papers published by Chinese researchers in international journals have been in a leading position in the world. However, there are still some challenges faced, including the imbalance between the scale of Chinese international journals and the need for publishing, the prominent phenomenon of paper outflow, and the limited international influence. Against this backdrop, how to grow from a major country in international paper publication to a strong journal country is a difficult point in the construction of the internationalization of academic journals in China. [Design/Methodology] This study investigates 284 international academic journals from the China Mainland indexed in the three major Web of Science databases, comparing the roles of domestic and foreign publishers in promoting the internationalization of Chinese academic journals. [Findings/Conclusion] Foreign publishers have played an important role in promoting the internationalization of Chinese academic journals, but domestic publishers are also showing a vigorous development trend. From the disciplinary perspective, domestic publishers in the natural sciences have formed a certain "build a boat to sail" scale, while the phenomenon of "borrow a boat to sail" is more obvious in the humanities and social sciences. In terms of internationalization effects, academic journals of foreign publishers generally have higher academic impact, higher international collaboration rate, and broader international dissemination range. Based on the research results, this paper proposes that the internationalization of China's academic journals should be supported by policy guidance, platform construction, and mechanism optimization. It is necessary to fully utilize the "borrow a boat to sail" strategy at the current stage, and actively promote the transformation to "build a boat to sail" in the future, in order to serve the national strategy of becoming self-reliance and self-improvement in science and technology. [Originality/Value] The innovation of this study is reflected in the systematic analysis of China's international academic journals from the perspective of comparing domestic and foreign publishers, thereby providing a reference for promoting the internationalization of China's academic journals. Related Articles | Metrics | Comments（0）

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Copyright Law Response to Generative Artificial Intelligence Training Data: Is It Necessary to Set Fair Use Rules? WEI Yuanshan Documentation, Informaiton & Knowledge    2025, 42 (1): 78-88.   DOI: 10.13366/j.dik.2025.01.078 Abstract （406）      PDF（pc） （375KB）（557）       Knowledge map    Save [Purpose/Significance] Training data for Generative Artificial Intelligence（GenAI）contains many works that are still under copyright protection. It is helpful to resolve the dispute of copyright law of GenAI training data to clear whether the fair use rules should be set for machine learning. [Design/Methodology] This study examines the expressive and non-expressive machine learning from typological perspective and determines whether fair use rules should be established by the logic that "unauthorized use of works to training GenAI constitutes infringement, following with licensed use rules hinders technological progress, and other simplified authorizing mechanisms are not applicable". [Findings/Conclusion] The input and training stages of non-expressive machine learning, conform to "use on work", there is no need to set fair use rules as it does not constitute infringement. The output stage of expressive machine learning, referred to as "use of work", should be subject to discuss separately because of the difference scenes before and after GenAI is opened to the public. Prior to its public release, the output results of GenAI are mainly used for model verification about the training situation, which can be considered fair use. However, once it is made available to the public, any output that alters the expression of the original work beyond the scope of adaptation is considered to proper use otherwise constitutes infringement. Since the infringement at output phase does not hinder GenAI technology development, there is no need to set specific fair use rules for it. [Originality/Value] Compared with the previous research, this study has different analysis methods and conclusions, which is instructive for AI practitioners and legal workers in exploring copyright law related to GenAI training data, as well as enriching and deepening existing research. 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 （403）      PDF（pc） （451KB）（2147）       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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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 （388）      PDF（pc） （308KB）（847）       Knowledge map    Save 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 （383）      PDF（pc） （488KB）（2002）       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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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 （377）      PDF（pc） （389KB）（2075）       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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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 （374）      PDF（pc） （475KB）（1149）       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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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 （352）      PDF（pc） （570KB）（758）       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）

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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 （347）      PDF（pc） （354KB）（1054）       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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Leading Professionalization with People-Oriented Principle: Exploration of Promoting High-Quality Development in Dongguan Library Practice CHEN Chuanfu, ZHAO Qingxiang Documentation, Informaiton & Knowledge    2024, 41 (5): 56-64.   DOI: 10.13366/j.dik.2024.05.056 Abstract （331）      PDF（pc） （368KB）（218）       Knowledge map    Save [Purpose/Significance] Taking Dongguan Library as a case, this paper explores the mode of leading the professional development of libraries with people-oriented principle, which provides a path reference for promoting high-quality development of the library industry. [Design/Methodology] The article conducts a survey on the practice of Dongguan Library, and combines with A Library's Exploration of Professional Development, explores the fundamental problem of high-quality development of libraries, which is to adhere to the principle of leading professional development with people-oriented principle, and demonstrates the role and responsibility of libraries. [Findings/Conclusion] The library professionalization should adhere to the principle of the subjectivity of the people, and enhance the development level of the library from three aspects: librarian team professionalization, core business professionalization and industry specialization, so as to promote the high-quality development of library business. [Originality/Value] This article analyzes the professional development practice of Dongguan Library, and provides reference for the professional development of public libraries in China. 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 （322）      PDF（pc） （608KB）（2138）       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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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 （307）      PDF（pc） （364KB）（1002）       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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The Measurement of the "Obliteration by Incorporation" Phenomenon: A Case of Matthew Effect LYU Haihua, LI Jiang Documentation, Informaiton & Knowledge    2024, 41 (6): 102-112.   DOI: 10.13366/j.dik.2024.06.102 Abstract （301）      PDF（pc） （1513KB）（149）       Knowledge map    Save [Purpose/Significance] The phenomenon of "Obliteration by Incorporation（OBI）" refers to the situation in academic research where certain ideas, methods, discoveries, theories etc. are no longer cited after being generally accepted, as this type of knowledge is indispensable in the process of scientific development and progress, but its academic influence may be underestimated. Therefore, it is particularly important to measure the OBI phenomenon of common-sense knowledge. [Design/Methodology] Comprehensive databases CNKI（1992-2021）and JSTOR（1986-2018）are utilized to retrieve literature encompassing discussions on the "Matthew Effect". By constructing a framework for measuring the OBI phenomenon, this study uncovers the prevalence level of explicit, implicit, and indirect citations within its context. Furthermore, it delves into the underlying reasons driving citation behaviors associated with this OBI phenomenon. [Findings/Conclusion] The findings show that the framework is effective in revealing both the external and internal features of the OBI phenomenon, while the citation behavior behind this OBI phenomenon is influenced by factors such as time, literature type, and language. [Originality/Value] The measurement of the OBI phenomenon provides a reference basis for accurately revealing the academic influence of common-sense knowledge and enriches the dimensions of knowledge flow measurement to some extent. 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 （284）      PDF（pc） （437KB）（1979）       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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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 （268）      PDF（pc） （564KB）（1563）       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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Documentation, Informaiton & Knowledge    2024, 41 (6): 1-1.   Abstract （265）      PDF（pc） （80KB）（215）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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User Information Journey in the Context of Behavioral Transitions: Definition, Context and Trends DENG Shengli, DING Weiwei Documentation, Informaiton & Knowledge    2024, 41 (6): 155-165.   DOI: 10.13366/j.dik.2024.06.155 Abstract （256）      PDF（pc） （357KB）（421）       Knowledge map    Save [Purpose/Significance] By studying the user information journey from the perspective of behavioral transitions, this paper explores the laws of user information behavior, and provides theoretical support and application reference for a systematic and in-depth interpretation of user information behavior research. [Design/Methodology] A systematic review method was used to comb through the existing research literature, and 53 relevant papers published between 2004 and 2023 were included in the analysis to clarify and integrate the development of current research. [Findings/Conclusion] The current research exists with some theoretical models to provide theoretical support, with a bias towards a qualitative approach in data collection and analysis, and there is scope for further development of applied contexts in this area. Information journey research is a comprehensive research field focusing on theoretical exploration and practical validation, and the future research shows a development trend of the construction of information journey theory, the integrated application of interdisciplinary methods, the expansion of multidisciplinary application scenarios and the deepening of information journey research content. [Originality/Value] Existing research results about information journey are still relatively lack, there is still much room for further exploration in this field, by combing with the information journey related research and the specific turn situation, this paper explores the research vein of the user information journey, in order to provide a theoretical basis for the information behavior research, and offers a significant reference for enhancing the comprehension of users' information journey. 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 （255）      PDF（pc） （397KB）（1135）       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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Database Selection for Measuring the Policy Impact of Scientific Papers: A Comparison Between Altmetric and Overton FANG Zhichao, ZHENG Er-Te Documentation, Informaiton & Knowledge    2025, 42 (1): 18-28.   DOI: 10.13366/j.dik.2025.01.018 Abstract （246）      PDF（pc） （435KB）（329）       Knowledge map    Save [Purpose/Significance] Differences in the scope of indexing among various policy citation databases may lead to different results in the policy metric analyses of scientific papers. In order to better support the measurement and evaluation of the policy impact of scientific research outcomes, a comparative study is needed to understand the differences in the data foundations provided by different databases. [Design/Methodology] This study compared the similarities and differences in the range of policy documents included in Altmetric and Overton, two mainstream policy citation databases, during the same period. It also compared the policy citation data provided by Altmetric and Overton for approximately 17 million scientific papers, focusing on aspects such as data coverage, data volume, and disciplinary distribution. [Findings/Conclusion] Compared to Altmetric, Overton provides a broader range and greater number of policy documents and policy citations, demonstrating a significant data advantage. However, only a small portion of the policy documents included in Altmetric and Overton overlap, representing different policy viewpoints and behaviors of different policymakers regarding the use of scientific evidence. Therefore, these databases are difficult to substitute for one another and can be complementary. [Originality/Value] In the quantitative evaluation of the policy impact of scientific research achievements, we should pay attention to and warn the potential impact of the choice of policy citation database on the results, and develop reasonable data acquisition strategies to achieve more responsible evaluations. Related Articles | Metrics | Comments（0）

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Influencing Factors of Data Availability in Open Sharing of Scientific Data XING Wenming, DENG Xiaoqing, QIN Shun Documentation, Informaiton & Knowledge    2025, 42 (1): 135-145.   DOI: 10.13366/j.dik.2025.01.135 Abstract （234）      PDF（pc） （393KB）（556）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to identify key factors that affect the availability of scientific data, which can help improve the efficiency of the open sharing of scientific data. [Design/Methodology] By adopting the grounded theory method, this article conducted in-depth interviews with 26 interviewees, identified the influencing factors of data availability in the process of scientific data open sharing, and constructed a framework model of influencing factors. [Findings/Conclusion] The availability of scientific data is influenced by three dimensions: the data itself, stakeholders, and the environment. Data serves as the foundation, encompassing aspects such as data quality and management. Stakeholders play a crucial role, including data producers, users, and other relevant parties. The environment acts as a guarantee through social context, policies and regulations, as well as technological tools. On this basis, several suggestions are proposed to enhance the scientific data availability in open sharing: establishing sound policies and regulations related to scientific data; Strengthening process management for sharing and reuse of scientific data; reinforcing education and training of data skills. [Originality/Value] This article systematically explores the factors that affect the availability of scientific data and their guarantee mechanisms, and provides reference solutions for related entities to enhance their scientific data management capabilities and improve the service efficiency of open sharing of scientific data. 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 （225）      PDF（pc） （572KB）（772）       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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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 （224）      PDF（pc） （433KB）（1013）       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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Algorithmic Recommendation, Information Cocoon and the "Disappearance of the Nearby" GUO Yajun, LI Tianxiang, FENG Siqian, LIU Kunfeng Documentation, Informaiton & Knowledge    2025, 42 (2): 156-166.   DOI: 10.13366/j.dik.2025.02.156 Abstract （223）      PDF（pc） （417KB）（737）       Knowledge map    Save [Purpose/Significance] The excessive development and application of algorithmic recommendation technology in digital-intelligent era has intensified the information cocoon and triggered the "disappearance of the nearby". The research and deciphering of this phenomenon can provide references for regulating algorithmic technology,optimizing users' information behavior and improving the social environment. [Design/Methodology] This study adopts a progressive structure, metaphorically referred to as "spinning a cocoon" "breaking the cocoon" and "becoming a butterfly", to examine the stage dilemma encountered by the user subject in the hazard response of "algorithmic recommendation—information cocoon—disappearance of the nearby". Additionally, it proposes targeted strategies to break the information cocoon and reproduce "the nearby". [Findings/Conclusion] In the process of "spinning a cocoon", users encounter a series of challenges, including "the dilemma of cyberspace of role degradation—the dilemma of conceptual cognition of thinking solidification—the dilemma of real life of emotional desalination". To "breaking the cocoon", it is essential to emphasize the subjective status of users in the algorithm-driven society, and improve their algorithm literacy from the algorithm cognition,algorithm skill and algorithm specification. "Becoming a butterfly" should integrate the three paths of self-awakening, virtual and real symbiosis and technological goodness to achieve pioneering changes and reproduce "the nearby". [Originality/Value] From the perspective of the discipline of Information Resource Management (IRM), this study explores the relationship between algorithmic recommendation,information cocoon and the social phenomenon of "disappearance of the nearby", and seeks the path to solve the problem,so as to contribute disciplinary wisdom and solutions to the healthy functioning and coordinated development of society. Related Articles | Metrics | Comments（0）

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Platform Information Manipulation and Its Effects Based on Interaction Design: A Case Study of Trending Topics LI Guihua, MIN Zhifei Documentation, Informaiton & Knowledge    2025, 42 (1): 113-123.   DOI: 10.13366/j.dik.2025.01.113 Abstract （220）      PDF（pc） （471KB）（744）       Knowledge map    Save [Purpose/Significance] The phenomenon of information manipulation by platform enterprises utilizing their information resource provided by interaction design is widespread, having attracted extensive international attention. The validation of the impact of interaction design information manipulation can offer valuable insights for the formulation of platform governance strategies in China. [Design/Methodology] This paper defines the concept of information manipulation and categorizes the types of information manipulation strategies through interaction design. Then, taking the information manipulation phenomenon based on the design of "mark" on the trending topics of platform as the object, it introduces the Linear Influence Model to fit the diffusion behavior of social network, and adopts non-parametric method to demonstrate heat anomalies in the case of non-compliant marks. Forther more, it compares and analyzes multiple cases to confirm that heat anomalies are due to the influence of non-compliant marks, thus validating the effectiveness of the information manipulation. [Findings/Conclusion] The presence of information manipulation strategies through interaction design has been confirmed, the results of model simulation for expected trends and actual results indicate the subsequent impact of information manipulation, and comparative experimental analyses illustrate that information manipulation based on the interaction design may be responsible for the platform's topic heat anomalies. [Originality/Value] This paper provides a comprehensive review of the concept of information manipulation and various strategies for information manipulation through interaction design, and quantitatively analyzes the impact of these strategies. The empirical evidence that information manipulation through interaction design significantly influences users' behaviors provied in this paper offers valuable insights for promoting responsible platform development, government network governance, and related academic research. Related Articles | Metrics | Comments（0）