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An Examination of AI Literacy Among University Students: Current Status and Multifaceted Influencing Factors ZHOU Qiong, XU Yaping, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 38-48.   DOI: 10.13366/j.dik.2024.03.038 Abstract （2990）      PDF（pc） （375KB）（10517）       Knowledge map    Save [Purpose/Significance] This study aims to delve into the current status of AI literacy among high education students and its correlation with practical application, attitude, interest, and other factors, explore the feasibility and measures for high education institutes to cultivate students' AI literacy in the era of AI, and provide empirical support and theoretical guidance for advancing AI literacy education. [Design/Methodology] Employing quantitative research approaches, this study conducts an analysis of the current AI literacy level among high education students and its correlation with their educational and training backgrounds, practical application experience, attitude, and interest through surveys and data analysis. This research design emphasizes the crucial role of practical experience in enhancing students' AI literacy level, and also examines the impact of factors such as educational backgrounds, disciplinary background, attitude, and interest on AI literacy from various perspectives. [Findings/Conclusion] In the digital era, practical experience plays a vital role in enhancing the AI literacy level of high education students. By actively engaging in the practical use of AI technologies or products, students can more effectively translate theoretical knowledge into practical skills and thereby comprehensively elevate their AI literacy level. Furthermore, there exists a positive correlation between students' positive attitudes, interests, and AI literacy. [Originality/Value] The study presents a targeted scale for assessing the AI literacy level of high education students and examines the factors influencing AI literacy. It lays the groundwork for future in-depth exploration of the correlation between practical application of AI and theoretical learning, as well as developing a tailored educational training framework. Related Articles | Metrics | Comments（0）

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Artificial Intelligence Literacy Education: Global Progress and Prospects ZHANG Jingbei, YU Chenlin, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 15-26.   DOI: 10.13366/j.dik.2024.03.015 Abstract （2164）      PDF（pc） （392KB）（14243）       Knowledge map    Save [Purpose/Significance] This paper aims to investigate and summarize the current status and trends of global AI literacy education for clarifying the present situation and deficiencies and propose strategies for optimizing the AI literacy education in universities. [Design/Methodology] The study explores the developmental trends of AI literacy education based on various research materials such as policy documents, conference records, and research papers released by international organizations and developed countries. It employs the Berry-picking model to analyze innovative initiatives in AI literacy education practices at 29 universities both domestically and internationally. [Findings/Conclusion] A clear boundary and interconnection exist between AI literacy education and AI education. The orientation of international policies plays a crucial role in promoting AI literacy education, yet there is a lack of a comprehensive framework for such education. In universities, the primary AI literacy education educators consist of colleges, learning development centers and libraries, with diverse forms to deliver educational content encompassing knowledge, skills, attitudes, and ethical values. To effectively conduct AI literacy education at universities, it is imperative to establish and optimize an educational framework, while leverage the key role of university libraries. This can be achieved through the implementation of diversified educational strategies, and the enrichment of educational content based on the KSAVE model. [Originality/Value] Based on the findings by providing insights into the international development trends of AI literacy education and analyzing current innovative practices implemented in universities, this paper proposes strategies for optimization AI literacy education, which provides valuable references and guidance for the promotion and implementation of AI literacy education in universities. Related Articles | Metrics | Comments（0）

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Have You Been to Xiaohongshu Today? Topic Extraction and Motivation Analysis of User Information Sharing in Online Communities LIU Yang, DUAN Yujie, ZHANG Xin, DONG Yifei, HU Xiuying Documentation, Informaiton & Knowledge    2024, 41 (4): 110-120,145.   DOI: 10.13366/j.dik.2024.04.110 Abstract （1692）      PDF（pc） （888KB）（11244）       Knowledge map    Save [Purpose/Significance] This study aims to quantitatively analyze the themes of user-generated content on the Xiaohongshu platform, with the goal of improving the content quality of social media platforms and promoting their healthy development. [Design/Methodology] Based upon the Censydiam motivation analysis model, this study utilizes the BERTopic topic extraction method to construct a framework for researching the themes and motivations behind information sharing in online communities. The study focuses on the Xiaohongshu platform, collecting 3,688,942 pieces of user-generated content to analyze the users' motivations behind information sharing across different themes. [Findings/Conclusion] The themes of information sharing by Xiaohongshu users primarily encompass life experiences, shopping, and food. By precisely pinpointing these themes using the Censydiam model, the study reveals that users' primary needs include a sense of belonging and identification with social groups, social integration and communication, as well as seeking enjoyment and relaxation. Therefore, the platform should place greater emphasis on maintaining alignment with the overall social media environment and ensuring a consistent social tone to reflect care for the user community and enhance their sense of belonging. [Originality/Value] This study is based on textual data from the Xiaohongshu online community, verifying the feasibility of the research framework and offering new insights and methods for the analysis and development of online communities. Related Articles | Metrics | Comments（0）

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Media Presentation and Risk Management of Generative AI Within Traditional Culture Communication ZHANG Kui, WANG Xiuwei Documentation, Informaiton & Knowledge    2024, 41 (4): 98-109.   DOI: 10.13366/j.dik.2024.04.098 Abstract （1658）      PDF（pc） （442KB）（20863）       Knowledge map    Save [Purpose/Significance] The emergence of Generative AI as a new media form, plays a dual impact on the reshaping the media structure and the social context of traditional cultural communication. Researching on media presentation and risk management of Generative AI holds significance in facilitating intelligent dissemination of traditional cultural, fostering digital humanities with distinct Chinese characteristics, and constructing modern Chinese civilization. [Design/Methodology] By using participatory observation and case analysis, combined with relevant theories of media science and semiotics, this study explores the application of Generative AI in the field of traditional cultural communication from three dimensions of media presentation, risk factors and risk governance. [Findings/Conclusion] Generative AI has a complex impact on the dissemination of traditional culture in media material, media interaction, media symbols, media time, media space and other aspects, and there are risks such as insufficient cultural accuracy, authenticity and completeness, cultural value conflicts and creativity reduction, cultural bias and inequality, infringement and excessive commercialization, etc. This requires the collaborative governance participated by multiple stakeholders such as regulatory agencies, service providers, cultural heritage units and users. [Originality/Value] This paper examines the theoretical rationale behind traditional cultural communication from the perspective of Generative AI, and proposes multi-party collaborative governance strategies for potential risks. Related Articles | Metrics | Comments（0）

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Constructing Content Framework for Artificial Intelligence Literacy Instruction in China from a Global Perspective HUANG Ruhua, SHI Leyi WU, Yingqiang CHEN, Tian Documentation, Informaiton & Knowledge    2024, 41 (3): 27-37.   DOI: 10.13366/j.dik.2024.03.027 Abstract （1591）      PDF（pc） （386KB）（11203）       Knowledge map    Save [Purpose/Significance] The aim of this study is to construct a more universal and novel content framework for artificial intelligence literacy（AIL）instruction. [Design/Methodology] We referenced globally influential AIL frameworks, reports from international organizations, international standards, policies of several leading countries（regions）, China's national strategic needs, employers' demands for AI talent, academic papers, trends from globally renowned enterprises, and the content of existing AIL education courses. Through this, the composition and basis of the AIL instruction content framework were analyzed. [Findings/Conclusion] The AIL instruction content framework in China is composed of four major parts: AI cognition, AI skills, AI application, and AI ethics. [Originality/Value] Unlike similar domestic achievements that mainly derive AIL frameworks from academic papers, this study integrates global academic data from multiple sources to construct an AIL instruction content framework that is both operational and valuable for practical guidance. Related Articles | Metrics | Comments（0）

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The Connotation, Value and Application of Data Elements in the Healthcare Field ZHU Qinghua, WANG Xi, ZHAO Yuxiang Documentation, Informaiton & Knowledge    2024, 41 (2): 13-17.   DOI: 10.13366/j.dik.2024.02.013 Abstract （1545）      PDF（pc） （259KB）（2916）       Knowledge map    Save "The 'Data Elements ×' Three-Year Action Plan（2024—2026）", jointly issued by seventeen national departments, has attracted wide attention from the society. This article firstly examines the core issues, classification and significance of data elements in the healthcare field. Furthermore, the key strategies to promote the integration and innovative use of healthcare data are proposed, including enhancing the collection of healthcare data through technological empowerment, advancing the integration and standardization of healthcare data, promoting the openness and sharing of healthcare data, and strengthening the security protection of healthcare data. Related Articles | Metrics | Comments（0）

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The Development Status and Prospects of New Public Cultural Spaces in China LI Si, ZHANG Haojue, CHEN Yi Documentation, Informaiton & Knowledge    2024, 41 (4): 6-13.   DOI: 10.13366/j.dik.2024.04.006 Abstract （1456）      PDF（pc） （333KB）（3595）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to reveal the current development status of new public cultural spaces in China from multiple dimensions, and provide theoretical references for the high-quality development of new public cultural spaces in period of the 15th Five-Year Plan. [Design/Methodology] Using field research, macro data, and case texts as data sources, this study extracted information on construction methods, spatial creation, operational mode, management mode, and service content, to form concepts and types, and summarize existing problems [Findings/Conclusion] With public libraries and cultural centers as the main construction entities, China undertakes the construction of a new type of public cultural spaces on the basis of the total branch library system. New construction, renovation, and embedding are the main construction approaches of new public cultural spaces, and spatial value is the core value. The transformation of new public cultural spaces has driven the transformation of operation, management and service.. In the future, the new type of public cultural space should be deeply connected with existing public cultural facilities, while forming a staggered development.We should strengthen the construction of new public cultural spaces in rural areas, improve the level of service specialization,and enhance sustainable development capabilities. [Originality/Value] Using multi-source data, this paper reveals the current development status of new public cultural spaces in China from a macro perspective, and proposes development suggestions for the 15th Five-Year Plan. 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 （1216）      PDF（pc） （411KB）（4578）       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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A Review on Health Digital Divide Across the World YANG Yanbin MA Chengyu Documentation, Informaiton & Knowledge    2024, 41 (3): 154-166.   DOI: 10.13366/j.dik.2024.03.154 Abstract （1120）      PDF（pc） （423KB）（8904）       Knowledge map    Save [Purpose/Significance] This paper aims to analyze the current state of research on the health digital divide, both domestically and internationally, sort out the research framework of the health digital divide, so as to provide a useful reference for scholars looking to carry out further research in this field. [Design/Methodology] 77 English and 17 Chinese literatures were selected through subject search and manual screening, and the systematic review was used to examine the research topics and methods of the health digital divide. The paper concludes by presenting future research directions and prospects for the health digital divide. [Findings/Conclusion] Through literature review, we propose the framework of the health digital divide,reveals the research status of the health digital divide, summarizes three performance dimensions, four major influencing factors, two major impacts, and four major intervention measures of the health digital divide. [Originality/Value] Through this comprehensive review, we have revealed the current state of research and future development directions on the health digital divide, providing a theoretical foundation for promoting health digital equity. 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 （1118）      PDF（pc） （417KB）（1708）       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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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 （1082）      PDF（pc） （454KB）（5157）       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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Identification Methods of Artificial Intelligence Generated Content in Online Communities DENG Shengli, WANG Fan, WANG Haowei Documentation, Informaiton & Knowledge    2024, 41 (2): 28-38,149.   DOI: 10.13366/j.dik.2024.02.028 Abstract （1040）      PDF（pc） （545KB）（2284）       Knowledge map    Save [Purpose/significance] Generative artificial intelligence will cause a certain degree of AI information pollution in online communities. The various AIGC identification methods studied in this paper are of great significance to prevent the negative impact of rapidly evolving generated artificial intelligence. [Design/Methodology] This paper first constructed a HAC data set in multiple online community platforms with 54 major categories of topics of Sina Weibo, which contained 100,873 pieces of information written by humans and generated artificial intelligence respectively. Then it explored whether the current 6 kinds of mainstream deep learning and 7 kinds of machine learning methods can identify whether the information in the online community was written by human beings or generated by artificial intelligence. Finally, the BEM-RCNN method was proposed to further improve the recognition of AIGC precision. [Findings/Conclusion] From the perspective of constructed data set, it is found that generated artificial intelligence has a strong "human-like expression", which can simulate human beings to post and reply on social media platforms. The experimental results show that the method proposed in this paper has an accuracy of 96.4%, which can well identify whether the content on the online community is written by humans or AI. It is superior to the 13 other mainstream methods such as BERT, ERNIE, and TextRNN in terms of precision, recall rate, F1-value, and accuracy, verifying its performance advantages. At the same time, many exploratory experiments have also proved that although the current mainstream machine learning methods are less accurate than the method in this paper, they can also be competent for some AIGC recognition tasks. [Originality/Value] Multiple methods are used in this paper to identify AIGC on social media, and prevent information pollution caused by generative artificial intelligence on social media platforms. 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 （1016）      PDF（pc） （397KB）（1490）       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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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 （1000）      PDF（pc） （704KB）（979）       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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"TikTok Note Me" Initiates a New Situation: The Transmission Pathway and Policy Innovation of Intangible Cultural Heritage Under the Platform Technology Environment FU Caiwu Documentation, Informaiton & Knowledge    2024, 41 (3): 6-14.   DOI: 10.13366/j.dik.2024.03.006 Abstract （970）      PDF（pc） （388KB）（3343）       Knowledge map    Save [Purpose/Significance] At present, the number of items included into China's representative list of intangible cultural heritage at all levels has reached 100,000, which embodies the most profound ethnic memory of the Chinese nation. In order to cope with the omni-directional impact of the great social transformation on the protection and inheritance of intangible cultural heritage, incorporating platform technologies such as TikTok into the scope of the policy can yield substantial policy benefits and management benefits [Design/Methodology] Using literature research, policy text analysis, data analysis, case studies and other methodologies, this research extensively examined the theoretical and practical dilemmas in the protection and inheritance of intangible cultural heritage. It also explored the positive impact of TikTok on the dissemination and inheritance of intangible cultural heritage. [Findings/Conclusion] The proposal is to expand beyond the scope of static protection of intangible cultural heritage and protection of cultural ecological zones. It aims to incorporate the technological platform-based intangible cultural heritage dissemination and inheritance projects such as TikTok into the policy scope of the government purchase of public cultural services from social forces and funding from the National Art Fund. This will involve designing a dual-track policy pathway combines both government funding and market-based business models, in order to form parallel overall policy ideas for the government's original ecological genetic protection and inheritance, and market-based intangible heritage transmission and inheritance. At the same time, it is also necessary to pay attention to the problem of "market failure" in the protection and inheritance of intangible cultural heritage caused by digital technologies such as TikTok, and to establish a balance in the policy. [Originality/Value] It provides a useful reference for China to reconstruct the reproduction mode of intangible cultural heritage, reshape the transmission and inheritance chain of intangible cultural heritage, and break through the dilemma that the inheritance of intangible cultural heritage is increasingly marginalized in the daily life of the society. Related Articles | Metrics | Comments（0）

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Research on AIGC Career Development Based on Statistical Model of Career Substitution HE Jing, SHEN Yang Documentation, Informaiton & Knowledge    2024, 41 (4): 34-41.   DOI: 10.13366/j.dik.2024.04.034 Abstract （966）      PDF（pc） （426KB）（2356）       Knowledge map    Save [Purpose/Significance] The intelligent advantages and cross domain adaptability of AIGC technology will be applied in numerous industry upgrades. Exploring the career development changes under the rapid changes of AIGC technology can promote workers' awareness of the risks of career turnover and achieve high-quality employment. [Design/Methodology] Based on the three levels of "task decomposition", "estimation of substitution probability of subdivided tasks" and "calculation of overall substitution probability of occupations", astatistical model of occupational substitution is constructed to predict the overall substitution rate of existing occupations. On this basis, the causes and characteristics of occupational substitution under the rapid change are analyzed to explore personal growth path. [Findings/Conclusion] Under the rapid change of AIGC technology, career turnover presents three categories: substitutable traditional professions, complementary development professions, and high potential emerging professions. In order to seek career development, workers should master and understand machine logic, expand the underlying skills of human-machine interaction, and deeply cultivate the individual advantages of human-machine cooperation to maximize the release of human core competitive potential. [Originality/Value] Based on work tasks and task attributes, the occupational substitution statistical model, which is built on the dialectical relationship between AI and labor employment, fully respects the logic of job content decomposition, the evolution direction of AI capabilities, and the substitution effect of labor, helps to analyze the trend of mental labor occupational substitution caused by AIGC from a micro perspective and promotes the improvement of employment quality. 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 （952）      PDF（pc） （411KB）（3807）       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 （938）      PDF（pc） （399KB）（2185）       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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How to Get Out of AIGC's "Collingridge Dilemma": Full Process Dynamic Data Compliance Governance ZHANG Chunchun, SUN Ruiying Documentation, Informaiton & Knowledge    2024, 41 (2): 39-49,66.   DOI: 10.13366/j.dik.2024.02.039 Abstract （933）      PDF（pc） （440KB）（5302）       Knowledge map    Save [Purpose/Significance] The rapid development of AIGC has brought many security risks and regulatory problems in cyberspace. The establishment of a full process dynamic data compliance governance mechanism in line with the development trend of AIGC will help AIGC go out of the "Collingridge dilemma". [Design/Methodology] In this article, based on sorting out the enabling and safeguarding relationship between AIGC and data governance, as well as analyzing AIGC's "Collingridge Dilemma" regulation game in the international practical experience of AIGC regulation, the path of innovative development and regulation of AIGC is explored. [Findings/Conclusion] Whether it is the stringent regulation imposed by the EU, the cautious regulation of China or the industry self-discipline of the United States, the limitations of regulation become evident in different dimensions. We can adapt the dynamic development trend of AIGC through employing the dynamic regulation means of the whole process, and we can establish the full process dynamic regulation mechanism of AIGC based on data compliance governance to get out of the AIGC's dilemma. [Originality/Value] The AIGC dynamic regulatory mechanism based on data compliance governance can continuously improve the regulatory system and tools, and provide ideas for the specific application fields of AIGC related technologies. Related Articles | Metrics | Comments（0）

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Whether AI Has Reached the Singularity: Data Analysis and Reflection on the Probability of LIS Occupations  Being  Completely Replaced by AI FENG Changyang, CHEN Jingyi, GAO Pengyu, ZENG Jiangfeng Documentation, Informaiton & Knowledge    2024, 41 (4): 42-56,81.   DOI: 10.13366/j.dik.2024.04.042 Abstract （921）      PDF（pc） （1083KB）（3566）       Knowledge map    Save [Purpose/Significance] Artificial Intelligence（AI）as a significant technological form leading future development, not only promotes socio-economic progress and stimulates industrial innovation, but also raises new issues about whether AI will replace human labor. It is necessary to pay attention to the substitution effect of technological advancement represented by AI on Library and Information Science（LIS）practitioners and the new demands for skills and knowledge. [Design/Methodology] Using the O*NET database, this study predicts the probability of LIS occupations being replaced by AI based on machine learning and network analysis methods. It identifies the important professional skills, core knowledge, and core competencies required by related positions, and explores the skill advantages of human intelligence in engaging in LIS occupations. [Findings/Conclusion] Under the impact of AI, library clerical assistants and library technicians, etc., whose jobs are programmable, face the risk of being replaced in the short term. In this macro environment, LIS professionals are required to possess both technical and humanistic qualities. The skill advantages of human intelligence in LIS professionals are mainly reflected in their creativity, social interaction, management planning, and proactive learning. [Originality/Value] Objectively examining the issue of labor substitution  brought about by AI, predicting and evaluating the probability of AI completely replacing LIS professions, and identifying the core abilities that LIS professionals should develop, can help actively respond to technological unemployment in the era of artificial intelligence, and ensure stable employment in LIS. 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 （914）      PDF（pc） （317KB）（6062）       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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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 （909）      PDF（pc） （375KB）（1180）       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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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 （890）      PDF（pc） （586KB）（2202）       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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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 （881）      PDF（pc） （362KB）（1067）       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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The Formation Mechanism and Influencing Factors of Algorithmic Literacy of Information Vulnerable Groups: Evidence from Short Video Platforms ZHANG Huishu, ZHAO Yuxiang, SONG Shijie Documentation, Informaiton & Knowledge    2024, 41 (2): 127-137.   DOI: 10.13366/j.dik.2024.02.127 Abstract （805）      PDF（pc） （420KB）（3394）       Knowledge map    Save [Purpose/Significance] Based on the widespread application of personalized recommendation algorithms, this article sorts out the formation mechanism of algorithm literacy（AL）of information vulnerable groups in the process of using short video platforms, identifies the influencing factors of AL of information vulnerable groups, and provides a basis for the cultivation of AL of information vulnerable groups. [Design/Methodology] Using grounded theory, this paper encoded interview data in three stages by the Nvivo12, construct a model of the formation mechanism and influencing factors of AL in the interaction between information vulnerable groups and short video content recommendation algorithms,then carried out an exploratory study on the AL of information vulnerable groups. [Findings/Conclusion] The perception of content recommendation algorithms by information vulnerable groups in the process of using short video platforms is mainly triggered by interactions with the algorithm, changes in user interests, replacement of platform used, and comparisons with others. Additionally, the purpose of using short video platforms and the perceived autonomy directly affect their perception of the algorithm. Furthermore, the components of AL are not independent: users' understanding of the internal logic of recommendation algorithms is influenced by their perception of it. Users with a deeper understanding of content recommendation algorithms tend to maintain a critical attitude and adopt proactive algorithm regulation behaviors when using short video platforms. [Originality/Value] The results of this study contribute to deepen the formation mechanism of AL in short video platform interaction, identify relevant influencing factors, and provide suggestions for the cultivation of information vulnerable groups' AL. 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 （796）      PDF（pc） （567KB）（3888）       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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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 （789）      PDF（pc） （381KB）（3854）       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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Research on Data Elements from the Perspective of the Discipline of Information Resources Management SUN Jianjun, LI Yang Documentation, Informaiton & Knowledge    2024, 41 (2): 6-12.   DOI: 10.13366/j.dik.2024.02.006 Abstract （787）      PDF（pc） （287KB）（1262）       Knowledge map    Save [Purpose/Significance] Under the background of digital economy, there is a need to further integrate the discipline of information resources management into the construction of the data elements marketplace and actively cultivate new academic growth points. [Design/Methodology] This paper first analyzed the correlation logic between the discipline of information resources management and data elements, as well as the role construction of the discipline, then introduced some core issues from the perspective of information resources management discipline, and finally put forward some proposal for the future development of integrating the discipline and data elements. [Findings/Conclusion] Researching on data elements is a new field and direction of information resources management. At present, we should give full play to the characteristics and advantages of the discipline and promote the research and practice of data elements in an organized way. [Originality/Value] Through the lens of the discipline of information resources management, this paper examines the research problems of data elements, which can provide enlightenment for further expanding the field and advancing research in this field , as well as contribute reference for the construction of discipline discourse in the development of data elements and digital economy. 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 （760）      PDF（pc） （352KB）（1837）       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 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 （750）      PDF（pc） （466KB）（3037）       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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Literature Review on Evaluating Methods Research of Coauthor Contributions XUE Jie, LI Hanyu, WU Zhenxin Documentation, Informaiton & Knowledge    2024, 41 (2): 100-109.   DOI: 10.13366/j.dik.2024.02.100 Abstract （726）      PDF（pc） （492KB）（4898）       Knowledge map    Save [Purpose/Significance] To provide reference for the follow-up research on the evaluation of scientific and technological talents,this paper aims to conduct a literature survey on evaluating methods research of coauthor contributions, and summarize the shortcomings and the future development directions of the research. [Design/Methodology] We searched relevant literature in academic platforms: Web of Science, Springe Link and CNKI from 2010 to 2023, summarized and combs the literature from three aspects: traditional evaluation method, the evaluation method based on author contribution statement and the evaluation method based on research output. [Findings/Conclusion] Although a wealth of research outputs in the field of the evaluation methods of coauthor contributions have been obtained,but there are still some deficiencies.The future research should be carried out considering many aspects: further exploring the influence of academic background factors,such as the author's research field and academic keywords, digging deep into the semantic feature relationship of citations, and strengthening the application of new models and new algorithms,such as machine learning, deep learning et al. [Originality/Value] This article reveals the development process,characteristics of the evaluation methods research of coauthor contributions, and further expounds its future development direction. 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 （714）      PDF（pc） （699KB）（810）       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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Configuration Path of High-quality Development of New Public Cultural Space SUN Yingzi, QIN Shun Documentation, Informaiton & Knowledge    2024, 41 (4): 14-24.   DOI: 10.13366/j.dik.2024.04.014 Abstract （696）      PDF（pc） （440KB）（4379）       Knowledge map    Save [Purpose/Significance] Exploring the high-quality development path of new public cultural space from a perspective of configuration can help stakeholders better understand the focus of development, facilitate the upgrading of public cultural services, and elevate the public's sense of cultural acquisition. [Design/Methodology] This paper examines 30 representative cases of new public cultural space as the research object, extracts the core factors of high-quality development from text corpus using grounded theory, and employs the fuzzy set qualitative comparison method to analyze the influence of multiple factors combination on the high-quality development of new public cultural space. [Findings/Conclusion] The high-quality development factors of the new public cultural space can be summarized into five dimensions: human behavior, cultural behavior, form, ecology and business behavior. On this basis, the path to configuring high-quality development of new public cultural space is a humanity-centered space, an ecologically empowered humanity-oriented space, and a cultural integrated space. All kinds of public cultural institutions and their associated subjects should create a "user-oriented" cultural space according to their own positioning, innovate with "digital-intelligent symbiosis" embedded services, and explore a "multi-consumption" cultural scene. [Originality/Value] This paper explores the configuration effect and optimization mechanism of the high-quality development of the new public cultural space, and provides a reference for promoting the high-quality development of the public cultural service system. Related Articles | Metrics | Comments（0）

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The Causal Effects of the Diversity of Scientific Collaboration on Paper Novelty TANG Xuli, LI Xin, YI Ming Documentation, Informaiton & Knowledge    2024, 41 (3): 116-129.   DOI: 10.13366/j.dik.2024.03.116 Abstract （690）      PDF（pc） （799KB）（1094）       Knowledge map    Save [Purpose/Significance] An in-depth understanding of the causal relationship between the diversity of scientific collaboration and paper novelty is of great significance in guiding the formation of research teams and promoting breakthroughs of original research outcomes of basic research in China. [Design/Methodology] The paper examines the impact of five types of collaborative team diversity: gender diversity, academic age diversity, institutional diversity, disciplinary diversity and topic diversity on paper novelty from the perspectives of population characteristics and tasks. Combined with correlation analysis, regression, and a causal inference method based on the Coarsened Exact Matching（CEM）, it focuses on scientific and technological literature in the field of Artificial Intelligence for empirical analysis. [Findings/Conclusion] In the field of Artificial Intelligence, there is a causal effect between the diversity of collaborative teams in terms of academic age, disciplines, and topics and the novelty of paper. The academic age diversity, disciplines diversity , and topic diversity will respectively result in a novelty gain of 7.66%, 5.98%, and 3.3% for papers in the field of AI. Overall, topic diversity has a greater impact than academic age diversity, which has a greater impact than disciplinary diversity. [Originality/Value] This article reveals the causal relationship between the diversity of scientific collaboration and paper novelty, providing a reference for scientific research team building or scientific research project evaluation, in the field of artificial intelligence or other cross-cutting fields. 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 （689）      PDF（pc） （433KB）（7117）       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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Initiatively Accessing Towards Digital Inclusion: A Study on the Formation and Mechanism of the Elderly' Sense of Digital Acquisition LI Jiaoyang, FAN Zhenjia, YANG Lijuan Documentation, Informaiton & Knowledge    2024, 41 (2): 138-149.   DOI: 10.13366/j.dik.2024.02.138 Abstract （689）      PDF（pc） （448KB）（4986）       Knowledge map    Save [Purpose/Significance] In the process of building a digital inclusion system, it is of great significance to explore the issue of the sense of digital acquisition for the elderly population in integrating into digital life, focus on the initiative of the elderly population in integrating into the digital inclusion system, and attempt to deconstruct the formation and mechanism of sense of digital acquisition for the elderly population. [Design/Methodology] Based on the literature review, this article applied the grounded theory to conduct a study on the sense of digital acquisition in the elderly. The interview content was encoded using NVivo12 software to explore the formation and mechanism of the sense of digital acquisition in the elderly. A conceptual model of the mechanism of the elderly people's sense of digital acquisition in the digital inclusive environment was constructed, and the relationship and theoretical principles between various factors were further explored. [Findings/Conclusion] The results show that the digital contradiction in the elderly population is a friction phenomenon between digital inertia and connectivity needs, and is an important antecedent factor in the development of digital technology application behavior; the sense of self actualization and fair participation in the application behavior of digital technology among the elderly population are the key factors determining whether they actively move towards digital inclusion; Social support affects the sense of digital acquisition of elderly people by meeting their care needs, which in turn affects their initiative to integrate. [Originality/Value] This study focuses on the initiative of the older population to study the formation and mechanism of digital access, and the findings provide a positive reference for exploring the characteristics and direction of the construction of a digital inclusion system in the age of digital intelligence. Related Articles | Metrics | Comments（0）

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A Framework for Identifying the New Digital Divide Within the Context of Generative Artificial Intelligence （ GAI ） SUN Rong, LI Baiyang Documentation, Informaiton & Knowledge    2025, 42 (3): 19-30.   DOI: 10.13366/j.dik.2025.03.019 Abstract （688）      PDF（pc） （379KB）（2472）       Knowledge map    Save [Purpose/Significance] The objective of this study is to identify the manifestation and core content of the emerging digital divide in the context of generative artificial intelligence, aiming to provide enlightenment for solving the cognitive and action plight of the digital vulnerable groups. [Design/Methodology] Based on the "Cognitive-behaviorism" perspective, the paper constructed a framework using the method of large-scale literature research. [Findings/Conclusion] A "Cognition-Access-Utilization-Evaluation"（CAUE）framework is constructed to identify and analyze the three-level indicators of the new digital divide in a generative AI environment. According to the analysis results, the countermeasures and suggestions are proposed, while the future research prospects are also discussed. [Originality/Value] This paper proposes a framework for identifying and analyzing the new digital divide in the context of generative artificial intelligence, and provides references for solving the problems related to the concept discrimination, form recognition and bridging paths of the new digital divide. 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 （684）      PDF（pc） （353KB）（1719）       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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Survey Report on MLIS Program Development in China（2023） DUAN Yufeng, YE Yutong, SHANG Duxin Documentation, Informaiton & Knowledge    2024, 41 (3): 84-92.   DOI: 10.13366/j.dik.2024.03.084 Abstract （683）      PDF（pc） （477KB）（2316）       Knowledge map    Save [Purpose/Significance] The purpose of this report is to comprehensively and objectively reflect the status and developmental changes of MLIS education in China in 2023. [Design/Methodology] This study employs survey questionnaires to collect data on faculty, enrollment, education and training, employment, etc., from MLIS training units. The status quo is depicted through statistical descriptions and comparisons, to reveal the development and change. [Findings/Conclusion] The MLIS education in China is developing steadily. This is evidenced by the stable growth of faculty, the continuous expansion of enrollment, distinctive training characteristics, and favorable employment conditions for graduates, increasingly standardized curriculum setting, educational resources construction and training process management across training units. [Originality/Value] The reports on the development of MLIS education in China have been consecutively published for eleven years, providing support for decision-making of degree and education management departments, as well as training institutions. Related Articles | Metrics | Comments（0）

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Analysis of the Successful Path of International "High-end Communication Platform" ZENG Jianxun Documentation, Informaiton & Knowledge    2024, 41 (4): 87-97,109.   DOI: 10.13366/j.dik.2024.04.087 Abstract （678）      PDF（pc） （405KB）（5063）       Knowledge map    Save [Purpose/Significance] In light of the fact that China's science and technology information communication platform was established later than the mainstream international platforms and heavily relies on scientific and technological resources from the United States and Western countries, this study aims to analyze the successful experience of international "High-end Communication Platforms" and explores their reference value and significance in building an "International High-end Communication Platform" in China. This can contribute to promote the modernization of science and technology information exchange and academic collaboration in China, and enhance its influence in the global arena of scientific and technological innovation. [Design/Methodology] Using the case analysis method, this article deeply discusses the characteristics and advantages of internationally representative scientific research information communication platforms in technological innovation, data management, user service and market operation, as well as explores measures to integrate these factors into the construction of China's scientific and technological information communication platforms. [Findings/Conclusion] The study reveals that the "International High-end Communication Platform" emphasizes profound integration in specific domains, advanced technology applications, efficient data management and flexible market-oriented operations. Based on this, this paper proposes a construction strategy for a high-end communication platform tailored to China's national conditions, including strengthening the top-level designs of the science and technology information exchange platform, formulating an open and scientific plan for China, clarifying the positioning and division of labor among different main platforms, building the fundamental system of data elements, and promoting in-depth processing of industrial data. [Originality/Value] Combining the successful cases of international "High-end Communication Platform" with China's reality, we propose a strategy to build China's characteristic high-end communication platform, providing a practical path for the autonomy of my country's scientific and technological information assurance. Related Articles | Metrics | Comments（0）