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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
    Abstract1425)      PDF(pc) (449KB)(19740)       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.
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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
    Abstract750)      PDF(pc) (439KB)(17819)       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.
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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
    Abstract1122)      PDF(pc) (442KB)(15911)       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.

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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
    Abstract1576)      PDF(pc) (392KB)(10712)       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.
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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
    Abstract1226)      PDF(pc) (386KB)(10022)       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.
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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
    Abstract1702)      PDF(pc) (402KB)(9569)       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.
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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
    Abstract545)      PDF(pc) (457KB)(8248)       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.
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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
    Abstract1963)      PDF(pc) (375KB)(7475)       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.
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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
    Abstract1151)      PDF(pc) (888KB)(6464)       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.

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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
    Abstract463)      PDF(pc) (433KB)(6357)       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.
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    Reconstruction of Trust Mechanism in Academic Publishing Under the Intervention of AIGC in Knowledge Production
    WANG Pengtao, XU Runjie
    Documentation, Informaiton & Knowledge    2023, 40 (5): 87-96.   DOI: 10.13366/j.dik.2023.05.087
    Abstract683)      PDF(pc) (448KB)(6279)       Save
    [Purpose/Significance] On the purpose of ensuring academic publications in which AIGC participates continue to gain the trust of the academic community and promoting the implementation of scenario-oriented application of artificial intelligence in the field of academic publishing, this paper explores the reconstruction of trust mechanism under the intervention of AIGC technology such as ChatGPT in knowledge production. [Design/Methodology] This paper analyzes the coupling between AIGC technology and knowledge production from the perspective of academic knowledge production cycle, identifies the trust crisis caused by the intervention of AIGC technology, and explores the theoretical model and practical path of trust mechanism in academic publishing. [Findings/Conclusion]Under the intervention of AIGC technology, the construction of academic publishing trust requires the three-dimensional collaboration of technical trust, interpersonal trust and institutional trust, and the "chain of responsibility" paradigm is adopted to mobilize the participation of technology developers, researchers, publishing institutions, associations, government and other subjects. [Originality/Value] In the face of the new generation of artificial intelligence technology wave, this paper discusses the evolution direction and the specific work of the construction subjects of the trust mechanism in academic publishing, so as to provide theoretical and practical guidance for promoting the healthy ecosystem of academic publishing and realizing the industrial upgrading by grasping the dividends of artificial intelligence technology.
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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
    Abstract747)      PDF(pc) (423KB)(5858)       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.
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    A New Approach for Information Resources Management Empowered by Data Intelligence: The Concept, Connotation and Development of Instruction Engineering
    LU Wei, WANG Lei, CHENG Qikai, LIU Jiawei, HUANG Yong
    Documentation, Informaiton & Knowledge    2024, 41 (1): 6-11.   DOI: 10.13366/j.dik.2024.01.006
    Abstract686)      PDF(pc) (302KB)(5364)       Save
    The emerging wave of scientific revolution and industrial transformation is burgeoning, with technologies such as big data and artificial intelligence exerting a profound impact on the information resources management discipline. Under the background of large language models(LLMs), instruction engineering guides the generation of model results through high-quality, systematic and procedural instruction design, which is an important approach to efficiently leverage the capabilities of LLMs and can be applied to resolve discipline-related issues. This article firstly introduces the concept of instruction engineering, and then thoroughly analyzes the constituent elements and design patterns of instructions, as well as the features and significance of instruction engineering. We also discuss the construction path of instruction engineering empowered information resources management. In the future, research and development in instruction engineering should focus on the construction of both general and domain-specific instruction engineering, standardization, intellectual property protection, security and systematic testing and assessment, aiming to enable instructions to effectively demonstrate their efficacy in complex application scenarios across various industries.
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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
    Abstract839)      PDF(pc) (480KB)(5162)       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.
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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
    Abstract1376)      PDF(pc) (417KB)(4437)       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.
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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
    Abstract663)      PDF(pc) (398KB)(4261)       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.
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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
    Abstract712)      PDF(pc) (646KB)(4157)       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.
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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
    Abstract546)      PDF(pc) (405KB)(4001)       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.

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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
    Abstract717)      PDF(pc) (440KB)(3999)       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.
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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
    Abstract591)      PDF(pc) (454KB)(3910)       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.
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    The High Quality Development for Information Resources Management in the New Era: The Minutes of the Forum on the Development of Information Resources Management in China(2023)
    HU Zhiwei, LI Yang, KANG Lele, PEI Lei
    Documentation, Informaiton & Knowledge    2023, 40 (5): 6-15.   DOI: 10.13366/j.dik.2023.05.006
    Abstract643)      PDF(pc) (487KB)(3782)       Save
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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
    Abstract509)      PDF(pc) (492KB)(3762)       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.
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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
    Abstract714)      PDF(pc) (435KB)(3735)       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.
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    A Review of Research on Digital Reading Cognitive Mechanisms from the Perspective of Cognitive Neuroscience
    LIU Yieping, YUAN Xiaoqun
    Documentation, Informaiton & Knowledge    2023, 40 (6): 129-139.   DOI: 10.13366/j.dik.2023.06.129
    Abstract676)      PDF(pc) (371KB)(3603)       Save
    [Purpose/Significance] Digital reading is a complex cognitive process, whose internal mechanisms may be revealed by these works of the cognitive neuroscience. A systematic review of these works may help understand the mental processes and cognitive functions of digital reading deeply and provide a reference for future research. [Design/Methodology] From the perspective of the cognitive neuroscience, 247 digital reading works at home and abroad were collected. Based on existing cognitive theories, a framework model of digital reading cognitive mechanism was proposed and applied to study these collected literatures. [Findings/Conclusion] The cognitive process of digital reading consists four stages: attention attraction, recognition focus, association reasoning and learning construction. The application of functional Magnetic Resonance Imaging, Event-Related Potentials, and Eye Tracking may help understand reading brain's working mechanism. Although current studies have proposed applicable methods on analyzing digital reading cognitive processes and neural indicators of digital reading, there is a lack of systematic study on the influence of sensory interaction, functional interactions between brain area and communication interaction factors. [Originality/Value] The work provides a picture of the digital reading cognitive mechanism from the cognitive process to neurological foundations, and analyzes the basic context and shortcomings of existing studies, which may help people understand the cognitive process of digital reading and figure out the direction of future research.
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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
    Abstract543)      PDF(pc) (317KB)(3590)       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.
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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
    Abstract510)      PDF(pc) (448KB)(3309)       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.
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    The Cultivate Road of "Intelligence Science +" Digital Intelligence Talents in the New Era
    ZHANG Haitao, ZHANG Xinrui, ZHANG Chunlong, LUAN Yu
    Documentation, Informaiton & Knowledge    2024, 41 (1): 58-68.   DOI: 10.13366/j.dik.2024.01.058
    Abstract542)      PDF(pc) (421KB)(3303)       Save
    [Purpose/Significance] Under the background of the era of digital intelligence, the discipline of intelligence science is required to integrate into the new era and actively explore the path of cultivating digital intelligence talents. [Design/Methodology] From cognition to application, the research plans the cultivation road of "Intelligence Science +" digital intelligence talents.It clarifies the cultivation system, focusing on the construction of the model of core literacy of talents as well as the thought on the cultivation path of talents, and demonstrates the localization, specialization, and wisdom of the cultivation of intelligence science education.[Findings/Conclusion] In the future, the discipline of intelligence science should be committed to cultivating composite and applied intelligence talents who are able to serve various work fields and research situations in the new era, and continuously explores a more complete closed loop of talent cultivation. [Originality/Value] This paper holds that Chinese philosophical thought provides the theoretical thoughts and practical paths for the cultivation of intelligence talents in the new era, reflecting not only the practical value of philosophical thought but also the reference value for the future development of the discipline of intelligence science.
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    Using "Specialized Databases" as a Method: Reimagining Digital Humanities and Its Development Trends in the AI Era
    XIAO Peng
    Documentation, Informaiton & Knowledge    2023, 40 (5): 16-27.  
    Abstract596)      PDF(pc) (471KB)(3279)       Save
    [Purpose/Significance] The purpose of this paper is to strengthen the foundational theoretical research and critical discourse of digital humanities, and provide better support for the research and practice in digital humanities. [Design/Methodology] Based on self-constructed dataset and interview materials, this paper employs grounded theory and qualitative analysis methods. [Findings/Conclusion] Beyond being a collection of "resource/data", the other five new characteristics of specialized databases within the scope of digital humanities are revealed: instrumentality, problem-solving nature, experiential quality, social dimension, and stability. The paper also identifies the unique engineering traits, media attributes, material dimensions, and ecological components of digital humanities as a field. Finally, based on the theoretical framework of "engineering-media-material-ecology", this paper analyzes the impact of AI on digital humanities, and proposes to focus on the restructuring of digital humanities working patterns in the AI context, carefully consider the media characteristics of digital humanities in the AI era, be aware of the deepening of digital infrastructure divide, and establish digital humanities ecological rules tailored to AI. [Originality/Value] The specialized databases essentially serve as an interface connecting the humanities community with technological trends, forming the cornerstone for bridging humanities critique and technological transformation. Drawing from recent thoughts on "XX as a method", this paper utilizes "specialized databases" as a method to establish a "bottom-up" theoretical framework for understanding and reimagining the digital humanities.
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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
    Abstract443)      PDF(pc) (567KB)(3091)       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.
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    The Impacts of IP Localization Policy on Public Opinion Comments: A Quasi-natural Experiment Based on the Display of IP Location on Weibo Users
    LE Chengyi, KONG Weiwei, DUAN Nannan
    Documentation, Informaiton & Knowledge    2024, 41 (1): 46-57.   DOI: 10.13366/j.dik.2024.01.046
    Abstract593)      PDF(pc) (584KB)(3085)       Save
    [Purpose/Significance] It can provide useful enlightenment for online public opinion research, platform optimization and governance to empirically evaluate whether and how the display of IP localization policy affect public opinion comments.[Design/Methodology] Based on self-monitoring theory and privacy calculus theory, the research model and hypothesis were constructed. Taking the launch of the "IP localization" function of Weibo as the quasi-natural experiment, the method of Difference-in-Difference(DID)and breakpoint regression model were used to explore the policy effect of IP localization policy on public opinion comments. [Findings/Conclusion] The policy induces the effect on users' self-monitoring and users' risk perception, which not only improve the overall affective tendency, readability and empathy of comments, but also significantly inhibites the affective polarity of comments. This conclusion is still valid after a series of robustness tests. The policy effect is significantly different among different user groups. Compared with the users in the hot center of the event, the display of IP location can prompt the users in the non-hot center to make changes. The policy also exacerbates geographic discrimination in comments. [Originality/Value] This study reveals the impacts of IP localization policy on public opinion comments, povides a new perspective for improving the internet environment, and enriches the relevant research in the field of IP localization and the influencing factors of public opinion comment behavior.
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