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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 （2996）      PDF（pc） （375KB）（10527）       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 （2172）      PDF（pc） （392KB）（14267）       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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Research Progress in Data Element Markets at Home and Abroad: A Systematic Literature Review WANG Xue, XIA Yikun, PEI Lei Documentation, Informaiton & Knowledge    2023, 40 (6): 117-128.   DOI: 10.13366/j.dik.2023.06.117 Abstract （2143）      PDF（pc） （402KB）（11963）       Knowledge map    Save [Purpose/Significance] A systematic review of data element market literature at home and abroad helps to deeply understand the structural composition and operational framework of data element market, grasp its key issues and main ideas, and reveal the current research progress and weaknesses, so as to provide theoretical and practical guidance for strengthening the construction of data element market in China. [Design/Methodology] Adopting the bibliometric analysis method and taking the literature related to the topic of data element market in Web of Science and CNKI as the analysis object, based on keyword co-occurrence and its temporal clustering, this paper analyzes the basic theory of data element market construction, operation mechanism and main viewpoints on the development of data trading institutions at home and abroad in conjunction with the text content. [Findings/Conclusion] Research shows that "data element market" is a hot issue of academic research at home and abroad, mainly focusing on the concept system of data elements, the core issues such as operation of the data element market and data trading platforms. Overall, the research is still in the exploratory stage of research, and there is no consensus on research involving data property rights, pricing, and regulation. The systematic and in-depth study of China's data element market still needs to be improved. [Originality/Value] This paper systematically sorts out the research progress of data element market at home and abroad, summarizes the research characteristics and development direction, which provides a reference for further research. Related Articles | Metrics | Comments（0）

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The Impact of Generative AI like ChatGPT on Digital Literacy Education in University Libraries GONG Furong Documentation, Informaiton & Knowledge    2023, 40 (5): 97-106,156.   DOI: 10.13366/j.dik.2023.05.097 Abstract （1987）      PDF（pc） （449KB）（21218）       Knowledge map    Save [Purpose/Significance] This paper aims to investigate the influencing factors and guiding strategies of Generative AI like ChatGPT on digital literacy education in university libraries, which will provide reference models and case studiesfor the domestic digital literacy education workers in colleges and universities, and facilitate the development of a localized framework for digital literacy in Chinese universities based on artificial intelligence. [Design/Methodology] By employing empirical research methodology, the test paper was designed based on the existing five dimensions of digital literacy, and content analysis of the test answers was conducted in three dimensions: knowledge content, competency, and emotional value. [Findings/Conclusion] We have identified four key characteristics of the knowledge content of digital literacy education within the scope of artificial intelligence, and have summarized the guidance and impact of artificial intelligence tools on students' higher-order thinking skills and emotional value. [Originality/Value] This paper focuses on agranular analysis of the impact of artificial intelligence tools on digital literacy education, and realizes the effect testing and result analysis of digital literacy learning conducted with multiple individuals simultaneously using ChatGPT generative AI tools. Related Articles | Metrics | Comments（0）

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Analysis on AIGC False Information Problem and Root Cause from the Perspective of Information Quality MO Zuying, PAN Daqing, LIU Huan, ZHAO Yueming Documentation, Informaiton & Knowledge    2023, 40 (4): 32-40.   DOI: 10.13366/j.dik.2023.04.032 Abstract （1877）      PDF（pc） （530KB）（12082）       Knowledge map    Save [Purpose/Significance] This paper aims to analyze the types and characteristics of false information in AIGC,which has a positive role in understanding the root causes of false information and reducing its generation. [Design/Methodology] In this study, the method of data testing experiment was adopted. Based on the perspective of information quality, the types and characteristics of false information generated by AIGC were analyzed through collecting first-hand testing data of AI systems and second-hand false information of AIGC. Further, focusing on the information generation process of artificial intelligence language models, we explored the origins of false information generation in AIGC. [Findings/Conclusion] False information in AIGC mainly consists of two types: factual false information and hallucinatory false information. Factual false information is primarily focused on errors in five aspects: data errors, author and his works errors, errors in objective facts, programming code errors, and machine translation errors. On the other hand, hallucinatory false information is mainly concentrated in the areas of fake news events, false academic information, false health information, and bias and discrimination. The origins of false information in AIGC are related to three factors: large-scale language models, pre-training datasets, and human annotations. [Originality/Value] This study employes a data testing experimental approach, complemented by the collection of second-hand data, comprehensively analyzes various types of false information in AIGC, and divides false information into factual false information and hallucinatory false information based on the generation mechanisms and manifestations, which provides a theoretical foundation for further research on false information in AIGC. 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 （1700）      PDF（pc） （888KB）（11261）       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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Research Workflow in the Era of AIGC: Application and Future of Digital Academic Tools from the Perspectives of Collaboration and AI Empowerment WANG Shuyi, ZHANG Qingwei, ZHANG Jin Documentation, Informaiton & Knowledge    2023, 40 (5): 28-38,126.   DOI: 10.13366/j.dik.2023.05.028 Abstract （1674）      PDF（pc） （417KB）（6516）       Knowledge map    Save [Purpose/Significance] This study aims to examine the selection of software tools in scientific research activities from the perspectives of "collaborative ability" and "AI empowerment", and propose suggestions for constructing scientific research workflows. [Design/Methodology] Based on the scientific research process, through website surveys and user feedback, we collected information of scientific research tools considering their functional characteristics and user evaluations. Using collaborative ability and AI empowerment as criteria, we compared and selected mainstream scientific research tools. [Findings/Conclusion] There are significant differences in the collaborative abilities of different scientific research software applications, as well as in the degree to which these softwares are integrated with AIGC technology. By constructing optimized workflows through screening scientific research tools, more effective collaboration can be achieved among different stages of scientific research processes, devices, and users to enhance knowledge management and production efficiency of researchers. [Originality/Value] This study provides references for the software choices of researchers and promotes more excellent research tools selected to collaborate in scientific research and improve AIGC capabilities and the overall efficiency of research activities. 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 （1668）      PDF（pc） （442KB）（20876）       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 （1601）      PDF（pc） （386KB）（11215）       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 （1551）      PDF（pc） （259KB）（2925）       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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Generative Artificial Intelligence Governance Action Framework:Content Analysis Based on AIGC Incident Report Texts ZHU Yu, CHEN Guanze, LU Yongrong, FAN Wei Documentation, Informaiton & Knowledge    2023, 40 (4): 41-51.   DOI: 10.13366/j.dik.2023.04.041 Abstract （1518）      PDF（pc） （431KB）（13902）       Knowledge map    Save [Purpose/Significance] The breakthrough of Generative Artificial Intelligence（Generative AI）has led to the explosive growth of Artificial Intelligence Generated Content（AIGC）, which inevitably cause people to be negatively affected by information overload, information noise, information security, and other related issues, making social information governance face new challenges. This paper aims to analyze and discuss the characteristic attributes of AIGC incidents, so as to provide a reference for Generative AI governance in China. [Design/Methodology] Based on AI Incident Database（AIID）and taking AIGC-related incident reports as samples for content analysis, the types, causes, damage objects and countermeasures of existing AIGC incidents were discussed. [Findings/Conclusion] The diversity of the objects affected by AIGC incidents, the wide distribution of the scope, and the complex unknown of the potential harm, result in the resources and capabilities of any single actor not being able to effectively deal with the crisis. It is necessary for actors of government, enterprises and society to form a governance participation model of "diversity + coordination + checks and balances", and to carry out information governance under the action framework of "context-consciousness-action". [Originality/Value] This paper introduces AIID as a case source database, provides an intuitive demonstration of the relevant details of existing AIGC incidents and forms a three-level category framework for AIGC incident analysis through content analysis.The action frame of Generative AI governance formed in this study is helpful to promote the exploration and practice of Generative AI governance from a macro perspective. 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 （1464）      PDF（pc） （333KB）（3623）       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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The Features, Theoretical Framework and Research Prospects of AI-enabled Surrogate Information Searching: A Sociotechnical System Paradigm SONG Xiaokang, ZHAO Yuxiang, SONG Shijie, ZHU Qinghua Documentation, Informaiton & Knowledge    2023, 40 (4): 111-121.   DOI: 10.13366/j.dik.2023.04.111 Abstract （1300）      PDF（pc） （404KB）（6624）       Knowledge map    Save [Purpose/Significance] ChatGPT is an application upgrade of AI generated content（AIGC）, which can act as a social actor to help users search for and generate their required information. This paper aims to summarize and prospect the features and theoretical framework of AI-enabled surrogate information searching. [Design/Methodology] Firstly, by combing the development process of surrogate information searching, this paper analyzes the connotation and characteristics of AI-enabled surrogate information searching. Then, based on the paradigm of sociotechnical system,we explore the theoretical framework of AI-enabled surrogate information searching. [Findings/Conclusion] It is found that the AI-enabled surrogate information searching is based on a ternary relationship group of "information demanders - AI algorithms - online information resources", which achieves the acquisition, integration, and presentation of informationthrough human-AI collaboration.This paper constructs a theoretical framework of AI-enabled surrogate information searching from four aspects: technology, information, users, and social culture. It also points out that the possible future research directions include trust and information credibility research, user adoption and user experience research, application research under the scenarios of information services and knowledge supply, and user algorithm literacy education research,etc. [Originality/Value] The research on AI-enabled surrogate information searching can help enrich the theory of user information behavior and information services in the era of digital intelligence and provide reference for future research and practice. 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 （1228）      PDF（pc） （411KB）（4582）       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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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 （1184）      PDF（pc） （417KB）（1712）       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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Digital Inclusion: A Review of English Literature FU Xiwen, HUANG Siya Documentation, Informaiton & Knowledge    2023, 40 (4): 99-110,121.   DOI: 10.13366/j.dik.2023.04.099 Abstract （1177）      PDF（pc） （430KB）（7259）       Knowledge map    Save [Purpose/Significance] Digital inclusion has become an important topic in the study of digital governance.This paper reviews the English literature on digital inclusion to provide a reference for domestic research and practice. [Design/Methodology] In this paper, 106 relevant English literatures were retrieved in the Web of Science database from 2010 to January 1,2022.Through integrating and evaluating these literatures by content analysis method, the distribution of research topics and shortcomings of these research were revealed and the future research direction was proposed. [Findings/Conclusion] The research topics of digital inclusion in English literature focus on the connotation, the influencing factors, the content and effect of practice, as well as the reflection and improvement of practice. There are some problems in the existing researches, such as oversimplified connotation, vague mechanism of occurrence, lack of effect research and insufficient operable improvement path. It is suggested that domestic research should strengthen the theoretical and empirical research on digital inclusion based on local reality from a multidisciplinary perspective. [Originality/Value] A relatively complete knowledge system of digital inclusion is proposed in this paper, providing references for the study and practice in the field of digital inclusion in China. Related Articles | Metrics | Comments（0）

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The Landscape of Social Science in the Era of Large Language Models XIE Tian, QIU Lin, LI Yutong, LUO Yin, LIU Pan Documentation, Informaiton & Knowledge    2023, 40 (6): 6-9,30.   DOI: 10.13366/j.dik.2023.06.006 Abstract （1133）      PDF（pc） （266KB）（3245）       Knowledge map    Save Large language models（such as GPT）have brought unprecedented breakthroughs in the field of artificial intelligence. In this article, we briefly introduce large language models, and illustrate how such models have been applied in each stage of social science research, including literature review, theory formation, research design, data collection, and data analysis. We envision new research paradigms brought by large language models, and new challenges faced by social science researchers. 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 （1125）      PDF（pc） （423KB）（8914）       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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Security Governance of Cross-Border Data Flow Under the Holistic View of National Security XU Yongjun, WANG Xingguang Documentation, Informaiton & Knowledge    2023, 40 (6): 20-30.   DOI: 10.13366/j.dik.2023.06.020 Abstract （1107）      PDF（pc） （398KB）（2246）       Knowledge map    Save [Purpose/Significance] In the information age with accelerated reconstruction of the global pattern, economic globalization and network globalization are advancing in depth, giving rise to the practice of increasingly frequent cross-border data flow. Strengthening the security governance of cross-border data flow is the proper meaning of implementing the holistic view of national security and promoting the modernization of national security systems and capabilities for China. [Design/Methodology] Using literature research, policy text analysis, case studies and other methods, this research deeply explored the practical difficulties and coping strategies faced by China's cross-border data flow security governance. [Findings/Conclusion] The real dilemmas of China's cross-border data flow security governance are manifested in: the merger of multiple laws, discrete supervision, complex risks and jurisdictional conflicts. Guided by the holistic view of national security, the action strategies to promote the security governance of cross-border data flow include: adhere to the concept of bottom line security, and improve the legal regulation system of cross-border data flow; utilize the concept of common security, and coordinate the security supervision of cross-border data flow; use the concept of overall security, and improve the efficiency of risk management and control of cross-border data flow; practice the concept of international security, and contribute Chinese solutions to global data security governance. [Originality/Value] It points out the practical approach for China to prevent and resolve the non-traditional security risks caused by disorderly cross-border flow of data and strengthen the security governance of cross-border data flow under the background of China's comprehensive implementation of the holistic view of national security. Related Articles | Metrics | Comments（0）

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Narrative Expression, Media Presentation and Practical Path of Digital Humanities from the Perspective of Gamification Narratives LIU Ke, LIU Rui Documentation, Informaiton & Knowledge    2023, 40 (5): 118-126.   DOI: 10.13366/j.dik.2023.05.118 Abstract （1092）      PDF（pc） （480KB）（6496）       Knowledge map    Save [Purpose/Significance] This paper analyzes the current status of digital humanities projects in China in terms of the number and content, and explores the driving and reforming effect of gamification narratives on digital humanities, as well as the feasibility of applying gamification narratives to digital humanities. [Design/Methodology] Based on teasing out the concept and core elements of gamification narratives, this paper elucidated gamification narratives in digital humanities projects with case analysis from two dimensions of narrative expression and media presentation. [Findings/Conclusion] The paper puts forward the practical path of gamification narratives in digital humanities from four aspects: mining characteristic cultural genes, constructing open narrative text, improving feedback loops in platforms, and designing multi-media matrix. [Originality/Value] Gamification narratives provide a new perspective for digital humanities projects development, and enrich the development concepts and methods of current digital humanities projects. Related Articles | Metrics | Comments（0）

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Information Framing Effect of Public Policy Dissemination on Short Video Platforms: A Video Content Analysis and Experimentation Based on the "Double Reduction" Policy CHEN Jinghao, NIE Huizi Documentation, Informaiton & Knowledge    2024, 41 (1): 35-45.   DOI: 10.13366/j.dik.2024.01.035 Abstract （1091）      PDF（pc） （397KB）（2877）       Knowledge map    Save [Purpose/Significance] As an emerging form of Internet information expression, short videos have gradually become important tools for policy dissemination. Exploring the effectiveness of short video platforms in the dissemination of public policy information, as well as the willingness of the audience to adopt them can help enhance the effectiveness of public policy communication. [Design/Methodology] Taking the "Double Reduction" policy as an example, and drawing upon the theories of framing effects and information adoption, this study employs content analysis to summarize the organizational methods of information framework of the "Double Reduction" policy on short video platforms and analyzes the impact of different policy information frameworks on dissemination outcomes. Furthermore, an online controlled experiment is conducted to validate the influence of different policy information frames on audience adoption willingness. [Findings/Conclusion] On short video platforms, nearly 40% of the information use a goal framework, with a majority adopting a loss frame, often from a collectivist perspective and in a non-narrative presentation mode, and the goal framework, cultural framework and narrative framework do not have significant impact on audience's comments, shares, or likes. For the "Double Reduction" policy information, the loss frames, gain frames, collectivist and individualist values, as well as narrative and non-narrative elements, all enhance the audience's willingness to adopt. Additionally, there is an interactive effect between the goal framework and the cultural framework. [Originality/Value] The research conclusions provide valuable insights for policy propaganda departments and related government agencies to optimize policy dissemination strategies and improve dissemination effectiveness. 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 （1088）      PDF（pc） （454KB）（5169）       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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Research Progress on Integration Development of Public Cultural Services and Tourism at Home and Abroad WANYAN Dengdeng, YIN Jiao, LIU Wenyan Documentation, Informaiton & Knowledge    2024, 41 (1): 92-101.   DOI: 10.13366/j.dik.2024.01.092 Abstract （1079）      PDF（pc） （364KB）（1772）       Knowledge map    Save [Purpose/Significance] This study aims to summarize the research progress of the integration development of public cultural services and tourism at home and abroad, and to provide references for the future research. [Design/Methodology] The article uses the methods of keywords search and citation tracing to systematically collect the relevant literatures at home and abroad and summarizes the research topics through detailed reading and analysis of the contents of these literature. [Findings/Conclusion] The foreign research topics include five aspects: the interaction between public cultural services and tourism, the tourism potential and limitations, tourism services, tourism models of public cultural venues, and the evaluation of the integration development of public cultural venues and tourism. The domestic research topics include five aspects: the relationship between public cultural services and tourism, the function expansion, the resource construction, the service provision of public cultural venues under the background of cultural and tourism integration, and the integrated development model of public cultural services and tourism. This paper compares domestic and foreign studies and puts forward some suggestions for the future development of our country. [Originality/Value] This article sorts out and reviews relevant literature on the integration of public cultural services and tourism at home and abroad, and draws out the aspects of the foreign research that are worthy we reference. Related Articles | Metrics | Comments（0）

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An Exploratory Study of Digital Reverse Mentoring Based on Grounded Theory from the Youth’s Perspective SHENG Manyu, WANG Jun, ZHU Xixi, ZHANG Pengyi Documentation, Informaiton & Knowledge    2023, 40 (4): 52-61.   DOI: 10.13366/j.dik.2023.04.052 Abstract （1068）      PDF（pc） （386KB）（7170）       Knowledge map    Save [Purpose/Significance] This paper introduces the "Informatics Moments" into the scenario of family, dedicating to explore the mechanism of digital reverse mentoring, and providing suggestions for bridging the digital divide and promoting intergenerational interactions.[Design/Methodology] Twenty college students were recruited for interviews to examine the specific process of teaching their parents to use digital devices and the data analysis was conducted using the grounded theory. [Findings/Conclusion] The triggering mechanism, specific behavior and results of digital reverse mentoring are revealed. The difficulties and their solutions in the process are pointed out. [Originality/Value] This paper is no longer limited to explore the influencing factors, but deeply study the specific elements and their relationships of digital reverse mentoring, and constructs a model of digital reverse mentoring mechanism. Related Articles | Metrics | Comments（0）

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Application Scenarios, Risk Challenges and Regulatory Pathways of Generative Intelligent Publishing ZHANG Xinxin, HUANG Ruhua Documentation, Informaiton & Knowledge    2023, 40 (5): 77-86,27.   DOI: 10.13366/j.dik.2023.05.077 Abstract （1059）      PDF（pc） （429KB）（2005）       Knowledge map    Save [Purpose/Significance] The emergence of ChatGPT and its generative AI technology has given rise to a new industry of generative intelligent publishing. The multidimensional exploration on generative intelligent publishing can reveal its application scenarios, risk challenges, and regulatory paths. [Design/Methodology] Based on the technical application principles and application characteristics of generative AI technology, this study explores the application scenarios, risk challenges, and regulatory paths of generative intelligent publishing. [Findings/Conclusion] The application scenarios of generative intelligent publishing include five categories: publishing big data and large language models, dimensional development of intelligent knowledge services, intelligent robots in the field of intelligent decision-making publishing, generative intelligent publication, and new business formats of metaverse publishing.Generative intelligent publishing faces challenges in data source and data output, academic ethical norms, adherence to core values, and substitution of human occupations, etc. In view of these challenges,corresponding regulatory paths are proposed from the perspective of regulation and governance. [Originality/Value] In the face of the digital age empowered by generative AI technology, it is of great significance to explore its enabling role and deep impact on publishing for promoting the high-quality development and modernization of publishing. Related Articles | Metrics | Comments（0）

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Free Exploration or Organized Research: Connotation, Types and Characteristics of Interdisciplinary Research Collaboration ZENG Yueliang, SI Li Documentation, Informaiton & Knowledge    2023, 40 (4): 81-91,51.   DOI: 10.13366/j.dik.2023.04.081 Abstract （1056）      PDF（pc） （398KB）（5051）       Knowledge map    Save [Purpose/Significance] Systematic analysis of the connotation, types and characteristics of interdisciplinary research collaboration will provide reference for related practice and theoretical research and better promote knowledge innovation. [Design/Methodology] Adopting the method of literature analysis and network survey, this paper analyzes the concepts of interdisciplinary, interdisciplinary research and research collaboration, puts forward the connotation of interdisciplinary research collaboration, and summarizes its types. [Findings/Conclusion] From the perspective of organizational structure and operation, in the current research environment, interdisciplinary research collaboration can be divided into three types according to the motivation and scale of the collaboration, namely, individual demand-driven collaboration, research project-based collaboration, and collaboration within the organization of interdisciplinary research entities. Each of these types has different characteristics and application scenarios. Combined with the "Organized Research" strategy, the study assumes that individual demand-driven collaboration highlights the characteristics of free exploration and is a basis and flexible mode of independent innovation for researchers, however, in terms of organizational management and effectiveness guarantee, the research project-based collaboration and collaboration within organizations of interdisciplinary research entities are more in line with the complicated trends of scientific research and the needs of social development in the new era. [Originality/Value] The basic theoretical analysis of interdisciplinary research collaboration in this paper will lay the foundation for its further in-depth research and organizational management practices. Related Articles | Metrics | Comments（0）

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Developing an Evaluation Index System and Its Testing Questions for Government Intelligent Q&A Systems WANG Fang, WEI Zhonghan, LIAN Zhixuan Documentation, Informaiton & Knowledge    2023, 40 (6): 98-111.   DOI: 10.13366/j.dik.2023.06.098 Abstract （1046）      PDF（pc） （439KB）（22977）       Knowledge map    Save [Purpose/Significance] Intelligent question and answer（Q&A）system is becoming an important facility for public services delivery. The purpose of this study is to promote the construction of government intelligent Q&A systems by evaluation, and reduce the administrative burden of citizens. [Design/Methodology] Firstly, based on literature research, theoretical analysis and case study, an evaluation indicator system for government intelligent Q&A system was constructed, and the indicator weight was determined by expert survey and AHP method. Secondly, a testing question set for problem solving quality was developed based on the hot consultation issues. Finally, 30 provincial government Q&A systems in China were evaluated with the indicator system and the matched questions. [Findings/Conclusion] The evaluation index system of government intelligent question and answering system includes three dimensions, namely, the quality of problem solving, the quality of service interaction, and the quality of infrastructure construction, as well as 18 refined indicators, such as the rate of high-frequency question answering, the rate of synonymous question answering, and the number of interactions. The testing question set includes five categories of questions: high-frequency, synonymous, error, ellipsis, and English ones. The practical evaluation proves the usability and effectiveness of the indicator system and testing questions set. [Originality/Value] This study constructs an evaluation index system for government intelligent Q&A systems from the perspective of reducing administrative burden, compiles testing question sets using text mining technique, and proves their usability through an actual evaluation. 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 （1046）      PDF（pc） （545KB）（2302）       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 （1024）      PDF（pc） （397KB）（1498）       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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Survey Report on the Development Status of Undergraduate Degree Education in Big Data Management and Application（2023） DENG Shengli, WANG Fan, XIA Sudi Documentation, Informaiton & Knowledge    2024, 41 (1): 69-79,101.   DOI: 10.13366/j.dik.2024.01.069 Abstract （1013）      PDF（pc） （646KB）（5187）       Knowledge map    Save [Purpose/Significance] This paper conducts a nationwide survey on the development status of undergraduate education of Big Data Management and Applications, with the aim of reflecting its development trends and proposing corresponding suggestions. [Design/Methodology] This study systematically dissected the current situation of the undergraduate education of Big Data Management and Applications in China from six dimensions, including institutions, faculty, enrollment, employment, curriculum system, and training objectives, and reflected the development trends of this major by comparing with previous years. [Findings/Conclusion] As of December 2022, the number of institutions offering this major has reached 183. Most institutions adjust their teaching according to social demands and their own positioning, gradually form their own characteristics while emphasizing professional practice. In addition, the curriculum system of most training institutions do not fully match the training objectives, and courses on big data management and big data applications need to be added. [Originality/Value] This study provides a comprehensive and in-depth analysis of the undergraduate programs in Big Data Management and Applications across the country, reflecting the current development status and existing issues of this major. It serves as a valuable reference for the sustainable development of such specialties. 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 （1004）      PDF（pc） （704KB）（988）       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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Academic Literature Data Sets Towards the AI Era: Characteristics and Development Direction ZHANG Tongyang, WANG Chuhan, YU Chao, XU Jian Documentation, Informaiton & Knowledge    2023, 40 (5): 39-49.   DOI: 10.13366/j.dik.2023.05.039 Abstract （994）      PDF（pc） （435KB）（4302）       Knowledge map    Save [Purpose/Significance] Driven by the application development of artificial intelligence technologies, academic literature datasets are playing an increasingly important role in the field of scientometrics. Developing from traditional data collections oriented to information supply to knowledge resources that assist in knowledge discovery and relationship network construction nowadays, every aspect of the function of data sets have been greatly improved, which in turn provides support for expanding the depth and breadth of research in scientometrics. [Design/Methodology] The article uses journal articles published by Scientometrics in 2016-2020 as the data source. Through the analysis of the data sets usage records of scientometrics research, the overall use of the data sets is summarized, and the relationship between the usage popularity of the data sets and the number of documents is explored. In terms of typical data sets that have been frequently used, the article specifically analyzes their characteristics, explores the impact of artificial intelligence technology on datasets and looks forward to its future construction direction. [Findings / Conclusion] There is a certain positive correlation between the usage frequency of datasets and their collection volume, the same study tends to cross use multiple datasets, and the relationship between scientometrics research and artificial intelligence technology is getting increasingly close. [Originality/Value] The purpose of this study is to summarize the construction and development rules of data sets in recent years by analyzing the striking features of data sets used in scientometrics related papers, so as to provide references for the selection of data sets for scientometrics research. Related Articles | Metrics | Comments（0）

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The Underlying Mechanism of Knowledge Adoption Intention of Short-Form Videos Concerning the Challenge-Skill Balance Feature in the Vision of Flow Theory WANG Yanyan, ZHANG Lei Documentation, Informaiton & Knowledge    2024, 41 (1): 12-24.   DOI: 10.13366/j.dik.2024.01.012 Abstract （980）      PDF（pc） （457KB）（9252）       Knowledge map    Save [Purpose/Significance] Knowledge-based short-form videos have been widely used by the general public. This study aims to explore the mechanism of knowledge adoption intention of short-form videos in the vision of flow theory. [Design/Methodology] Based on flow theory and Information Adoption Model, this study designed controlled experiments, collected data via questionnaire, and explored the mechanism of knowledge adoption intention by PLS-SEM. [Findings/Conclusion] The flow experience positively influences the perceived usefulness and knowledge adoption intention directly, negatively moderates the positive influence of video quality on perceived usefulness, and positively moderates the positive influence of perceived usefulness on knowledge adoption intention. In the high skill state and high flow state, users' knowledge adoption intention is influenced by both the information content path and the flow experience path and in the high challenge state, it is only influenced by the information content path. [Originality/Value] This study applies flow theory to the study on users' knowledge adoption intention when watching short-form videos, and proposes a short-form video knowledge adoption intention generation model. Also, the complex relationships between the flow experience, knowledge adoption and image cognition are discovered in this study. 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 （976）      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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Technical Principles and Process Innovations of Generative Intelligent Publishing ZHANG Xinxin, DING Jingjia Documentation, Informaiton & Knowledge    2023, 40 (5): 68-76.   DOI: 10.13366/j.dik.2023.05.068 Abstract （970）      PDF（pc） （398KB）（5327）       Knowledge map    Save [Purpose/Significance] This study aims to explore how generative artificial intelligence（AI）technology empowers the publishing industry to form the principles and process innovations of generative intelligent publishing. Based on the categorical structure of analytical intelligent publishing and generative intelligent publishing, this study investigates the issues of process innovations of generative intelligent publishing in four aspects of content production, content review, intelligent printing, and intelligent marketing. [Design/Methodology] From the perspective of ChatGPT, this study analyzes the ontological attribute definitions of ChatGPT in three aspects: generative AI, cognitive intelligence, and artificial general intelligence.It reveals three key technical principles: massive data advantage, reinforcement learning algorithm advantage, and continuous supercomputing power advantage. Finally, it discusses the process innovations of intelligent publishing based on generative AI. [Findings/Conclusion] The implications of generative AI in the publishing process innovations include the transition from professional generated content to AI generated content, the transition from manual editing to human-machine collaborative intelligent editing, to innovations in printing scenarios such as on-demand printing and intelligent printing factories based on generative AI, and to changes in marketing data, capabilities, efficiency and quality based on generative AI. [Originality/Value] This paper defines the ontological results of generative AI, cognitive intelligence and artificial general intelligence stages for the products of optimizing language models for dialogue represented by ChatGPT. It proposes new characteristics, new laws and new ideas for generative intelligent publishing in the stages of planning, editing, printing and distribution and expands the research scope of digital publishing and intelligent publishing to some extent. 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 （967）      PDF（pc） （426KB）（2358）       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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When We Talk About Data Sovereignty：From a Literature Review LIU Yan Documentation, Informaiton & Knowledge    2023, 40 (6): 31-41.   DOI: 10.13366/j.dik.2023.06.031 Abstract （966）      PDF（pc） （398KB）（2334）       Knowledge map    Save [Purpose/Significance] The purpose of this study is to delineate the domestic and international research landscape of data sovereignty, achieve a broad consensus on the understanding of data sovereignty, eliminate existing or potential misunderstandings and misuse related to data sovereignty, and uncover current research limitations while proposing pathways for future research. [Design/Methodology] Employing content analysis method, the study designs a research framework for textual analysis that spans from the evolution of concepts to connotations, values, subjects, powers, and applications. It compiles data sovereignty literature from both domestic and international sources, showcasing the academic community's level of understanding regarding data sovereignty. [Findings/Conclusion] Data sovereignty is often intertwined with control and governance of data flow. Historically, the academic community has exhibited a strong sense of sovereignty awareness and acute risk perception, and attaches great importance to cyber security. However, this has also revealed issues such as limited theoretical research, simplistic risk exploration, and difficulties in implementing security recommendations. There is a need to delve deeper into the legal exploration of data sovereignty, investigate the inherent logic of its risks, and thoroughly study solutions and strategies for its security development. [Originality/Value] By reviewing data sovereignty research from domestic and international sources, this study preliminarily defines the concept of data sovereignty and the primary concerns when discussing it. Building upon the summary of current research deficiencies, it proposes directions for future research enhancement. 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 （964）      PDF（pc） （411KB）（3814）       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 （945）      PDF（pc） （399KB）（2195）       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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A Review on Policy Text Research: From Content Computation to Function Comprehension HU Jiming Documentation, Informaiton & Knowledge    2023, 40 (4): 145-152.   DOI: 10.13366/j.dik.2023.04.145 Abstract （938）      PDF（pc） （331KB）（13022）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to systematically summarize and refine the research themes and directions of policy text from the perspective of content mining . It will benefit to grasp trend and promote innovation of policy text research. [Design/Methodology] Taking domestic and foreign research articles as samples, a systematic review was conducted to elaborate the research advances of policy texts, and the key points of follow-up development were looked forward on the basis of the assessment. [Findings/Conclusion] Driven by the research on policy quantification and informatics based on multidisciplinary integration, the computational science system of policy text research has gradually developed. Meanwhile,with the support of big data, deep learning and artificial intelligence, research on computing and sematic mining of policy text has been continuously deepened. And the research on text function comprehension and inference also rises further and has received more attention.The research system of policy text is supported on multiple levels by theory, methodology and technology. Research on its internal logic and social application will be strengthened. [Originality/Value] This paper summaries the advance of policy research on the level of text content and reveals the current themes and development directions of policy development directions.This will further enrich the theoretical and practical system of policy research. Related Articles | Metrics | Comments（0）