Most Downloaded

    Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

    In last 3 years
    Please wait a minute...
    For Selected: Toggle Thumbnails
    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
    Abstract1046)      PDF(pc) (439KB)(22976)       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 | Comments0
    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
    Abstract1987)      PDF(pc) (449KB)(21216)       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 | Comments0
    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
    Abstract1668)      PDF(pc) (442KB)(20875)       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 | Comments0
    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
    Abstract2167)      PDF(pc) (392KB)(14264)       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 | Comments0
    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
    Abstract1518)      PDF(pc) (431KB)(13897)       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 | Comments0
    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
    Abstract938)      PDF(pc) (331KB)(13018)       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 | Comments0
    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
    Abstract1877)      PDF(pc) (530KB)(12080)       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 | Comments0
    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
    Abstract2143)      PDF(pc) (402KB)(11959)       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 | Comments0
    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
    Abstract1698)      PDF(pc) (888KB)(11260)       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 | Comments0
    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
    Abstract1597)      PDF(pc) (386KB)(11215)       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 | Comments0
    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
    Abstract2995)      PDF(pc) (375KB)(10525)       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 | Comments0
    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
    Abstract980)      PDF(pc) (457KB)(9252)       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 | Comments0
    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
    Abstract1125)      PDF(pc) (423KB)(8913)       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 | Comments0
    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
    Abstract885)      PDF(pc) (448KB)(7487)       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.
    Related Articles | Metrics | Comments0
    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
    Abstract1176)      PDF(pc) (430KB)(7258)       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 | Comments0
    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
    Abstract1068)      PDF(pc) (386KB)(7167)       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 | Comments0
    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
    Abstract692)      PDF(pc) (433KB)(7120)       Save
    [Purpose/Significance] This paper aims to strengthen the theoretical foundation in the field of digital culture, providing practical guidance for the ideation, creation, and evaluation of digital cultural products or services, and invigorating the vitality of the digital culture industry and sector. [Design/Methodology] This paper first investigates the application of immersive media and natural interaction technologies in existing digital culture products or service. Then, in response to the technology-oriented pitfalls in past digital cultural practices, it proposes a novel "One-Engine & Two-Wings" model that positions digital technologies as the engine and user experience design and measurement as the two wings. [Findings/Conclusion] The "One-Engine & Two-Wings" model for digital culture incorporates the highly regarded "User-centered" concept of digital experience design, and emphasizes on understanding digital culture user needs , identifying user preferences, and analyzing user feedback, which are previously overlooked. Finally, this paper anticipates three future trends of digital culture: multi-sensory presentation, multi-modal interaction, and multi-method user experience measurement. [Originality/Value] Through theoretical explorations and practical lessons learning from past experiences, this paper highlights the significance of both emerging technologies and user experience in promoting the high-quality development of digital culture.
    Related Articles | Metrics | Comments0
    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
    Abstract863)      PDF(pc) (302KB)(6698)       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.
    Related Articles | Metrics | Comments0
    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
    Abstract1296)      PDF(pc) (404KB)(6622)       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 | Comments0
    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
    Abstract1674)      PDF(pc) (417KB)(6514)       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 | Comments0
    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
    Abstract1090)      PDF(pc) (480KB)(6494)       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 | Comments0
    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
    Abstract921)      PDF(pc) (317KB)(6071)       Save
    [Purpose/Significance] On the occasion of Jan Assmann's passing, the pioneer of cultural memory theory, this paper provides a comprehensive review and summary of the key concepts and contributions of cultural memory theory. It also sorts out its development and significant academic influence, while paying homage to scholars and the pursuit of academic research itself. [Design/Methodology] Based on literature analysis, this paper interprets the post-modernity nature of the cultural memory theory to trace the origin of its interdisciplinary influence. [Findings/Conclusion] This paper proposes that digital memory has become the new form and new normal of cultural memory in the digital intelligence era, and digital humanities encompasses a broad spectrum of research on memory in the digital intelligence era. It also examines the correlation between digital memory and digital humanities dialectically. [Originality/Value] With the advancement of metaverse and artificial intelligence technology represented by large language models, a new trend of memory research in the post-digital era is anticipated and some new issues in this field are proposed.
    Related Articles | Metrics | Comments0
    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
    Abstract970)      PDF(pc) (398KB)(5326)       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 | Comments0
    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
    Abstract935)      PDF(pc) (440KB)(5308)       Save
    [Purpose/Significance] The rapid development of AIGC has brought many security risks and regulatory problems in cyberspace. The establishment of a full process dynamic data compliance governance mechanism in line with the development trend of AIGC will help AIGC go out of the "Collingridge dilemma". [Design/Methodology] In this article, based on sorting out the enabling and safeguarding relationship between AIGC and data governance, as well as analyzing AIGC's "Collingridge Dilemma" regulation game in the international practical experience of AIGC regulation, the path of innovative development and regulation of AIGC is explored. [Findings/Conclusion] Whether it is the stringent regulation imposed by the EU, the cautious regulation of China or the industry self-discipline of the United States, the limitations of regulation become evident in different dimensions. We can adapt the dynamic development trend of AIGC through employing the dynamic regulation means of the whole process, and we can establish the full process dynamic regulation mechanism of AIGC based on data compliance governance to get out of the AIGC's dilemma. [Originality/Value] The AIGC dynamic regulatory mechanism based on data compliance governance can continuously improve the regulatory system and tools, and provide ideas for the specific application fields of AIGC related technologies.
    Related Articles | Metrics | Comments0
    Influencing Mechanism of User Satisfaction of Mobile Government APPs Based on ISM-MICMAC Model
    CHEN Ting, ZHU Yongdi, DUAN Yaoqing
    Documentation, Informaiton & Knowledge    2023, 40 (4): 134-144.   DOI: 10.13366/j.dik.2023.04.134
    Abstract843)      PDF(pc) (495KB)(5192)       Save
    [Purpose/Significance] This study aims to clarify the influencing mechanism of user satisfaction for mobile government APPs, provide improvement suggestions for the sound development of mobile government APPs, and help enhance the people's sense of fulfillment and the government's capacity for governance. [Design/Methodology] From the perspective of perceived value, the method of content analysis was used to summarize the influencing factors of user satisfaction from the negative comments of users on mobile government APPs. The Explanatory Structure Model(ISM)was used to reveal the hierarchical relationship among factors, and the Cross-Impact Matrix Multiplication Applied to Classification Model(MICMAC)was used to explain and verify these relationships. [Findings/Conclusion] A total of 22 influencing factors on user satisfaction of mobile government Apps in three dimensions of perceived functional value, perceived interaction value and perceived risk value were determined.According to the ISM model, 22 factors were divided into three levels: surface, middle and bottom,and these influencing factors were further divided into three groups: independent, autonomous and dependent based on MICMAC. [Originality/Value] This paper reveals the influencing mechanism of user satisfaction for mobile government APPs, enriches the specific content and application field of the theory of perceived value, and provides effective suggestions for the development of mobile government.
    Related Articles | Metrics | Comments0
    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
    Abstract1013)      PDF(pc) (646KB)(5187)       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 | Comments0
    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
    Abstract1088)      PDF(pc) (454KB)(5167)       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 | Comments0
    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
    Abstract679)      PDF(pc) (405KB)(5089)       Save
    [Purpose/Significance] In light of the fact that China's science and technology information communication platform was established later than the mainstream international platforms and heavily relies on scientific and technological resources from the United States and Western countries, this study aims to analyze the successful experience of international "High-end Communication Platforms" and explores their reference value and significance in building an "International High-end Communication Platform" in China. This can contribute to promote the modernization of science and technology information exchange and academic collaboration in China, and enhance its influence in the global arena of scientific and technological innovation. [Design/Methodology] Using the case analysis method, this article deeply discusses the characteristics and advantages of internationally representative scientific research information communication platforms in technological innovation, data management, user service and market operation, as well as explores measures to integrate these factors into the construction of China's scientific and technological information communication platforms. [Findings/Conclusion] The study reveals that the "International High-end Communication Platform" emphasizes profound integration in specific domains, advanced technology applications, efficient data management and flexible market-oriented operations. Based on this, this paper proposes a construction strategy for a high-end communication platform tailored to China's national conditions, including strengthening the top-level designs of the science and technology information exchange platform, formulating an open and scientific plan for China, clarifying the positioning and division of labor among different main platforms, building the fundamental system of data elements, and promoting in-depth processing of industrial data. [Originality/Value] Combining the successful cases of international "High-end Communication Platform" with China's reality, we propose a strategy to build China's characteristic high-end communication platform, providing a practical path for the autonomy of my country's scientific and technological information assurance.

    Related Articles | Metrics | Comments0
    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
    Abstract1055)      PDF(pc) (398KB)(5048)       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 | Comments0
    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
    Abstract692)      PDF(pc) (448KB)(4986)       Save
    [Purpose/Significance] In the process of building a digital inclusion system, it is of great significance to explore the issue of the sense of digital acquisition for the elderly population in integrating into digital life, focus on the initiative of the elderly population in integrating into the digital inclusion system, and attempt to deconstruct the formation and mechanism of sense of digital acquisition for the elderly population. [Design/Methodology] Based on the literature review, this article applied the grounded theory to conduct a study on the sense of digital acquisition in the elderly. The interview content was encoded using NVivo12 software to explore the formation and mechanism of the sense of digital acquisition in the elderly. A conceptual model of the mechanism of the elderly people's sense of digital acquisition in the digital inclusive environment was constructed, and the relationship and theoretical principles between various factors were further explored. [Findings/Conclusion] The results show that the digital contradiction in the elderly population is a friction phenomenon between digital inertia and connectivity needs, and is an important antecedent factor in the development of digital technology application behavior; the sense of self actualization and fair participation in the application behavior of digital technology among the elderly population are the key factors determining whether they actively move towards digital inclusion; Social support affects the sense of digital acquisition of elderly people by meeting their care needs, which in turn affects their initiative to integrate. [Originality/Value] This study focuses on the initiative of the older population to study the formation and mechanism of digital access, and the findings provide a positive reference for exploring the characteristics and direction of the construction of a digital inclusion system in the age of digital intelligence.
    Related Articles | Metrics | Comments0