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
    The Technical Features and Aromorphosis of Artificial Intelligence Generated Content (AIGC)
    Documentation, Informaiton & Knowledge    2023, 40 (1): 66-74.   DOI: 10.13366/j.dik.2023.01.066
    Abstract6238)      PDF(pc) (465KB)(29466)       Save
    [Purpose/Significance] The enrichment and emergence of multi-modal content promote the updating and iteration of technical models.This paper discusses the challenges and opportunities of AI generated content(AIGC)from the perspective of information resource management,which will play a positive role in the future application expansion and scene landing of AIGC. [Design/Methodology] Based on the evolution and development of the Internet, this paper combs the basic conditions for the development of AIGC from four aspects: network form evolution, content production, interpersonal interaction mode, and network resource organization. Focusing on three dimensions of data assignment, model intelligence and space empowerment, this paper discusses the technical characteristics of AIGC, the technical elements founded on data, algorithms and computing power, and the development stages based on entity twinning, learning and creation, and real-time autonomous generation. [Findings/Conclusion] The integration of AIGC and technical algorithms has brought a substantial impact on the research and practice of information resource management, which is embodied in information organization, data asset management, user research and information ethics. [Originality/Value] AIGC, supported by information resources, has strong productivity, which has brought a new attempt to the entire content ecology and creation model, analyzing its elements, characteristics and impacts is helpful to promote the exploration and practice of AIGC in the field of information resource management.

    Related Articles | Metrics | Comments0
    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
    Abstract915)      PDF(pc) (439KB)(21806)       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
    Abstract1836)      PDF(pc) (449KB)(20785)       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
    Abstract1443)      PDF(pc) (442KB)(19639)       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
    Abstract2009)      PDF(pc) (392KB)(13498)       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
    The Influence of Large Language Models Represented by ChatGPT on Information Resources Management
    LU Wei, LIU Jiawei, MA Yongqiang, CHENG Qikai
    Documentation, Informaiton & Knowledge    2023, 40 (2): 6-9.   DOI: 10.13366/j.dik.2023.02.006
    Abstract3423)      PDF(pc) (291KB)(12500)       Save
    OpenAI has released a new generation of conversational language model: ChatGPT, showing natural, fluid conversation capabilities, reviving the promise of artificial general intelligence that was previously thought impossible. Large language models represented by ChatGPT are typical technological and application innovations in the era of digital intelligence. ChatGPT's powerful ability of information processing, collecting, integrating and generating brings challenges and opportunities to information resource management discipline.It has had a profound impact on the six perspectives of information resources management including supporting algorithms and technologies, information resources construction, information organization and information retrieval, information governance, content security and evaluation, and human-computer intelligent interaction and collaboration. In the era of digital intelligence, with the rapid development of large-scale AI models, it is necessary for us to keep close attention to this and promote the corresponding transformation of subject technology application paradigm, innovation of theories and methods, and governance reform, so as to further consolidate the foundation of information resources to support the "Four Orientations".
    Related Articles | Metrics | Comments0
    Application Scenarios and Development Opportunities of AIGC in the Digital Intelligence Integration Environment
    Documentation, Informaiton & Knowledge    2023, 40 (1): 75-85.   DOI: 10.13366/j.dik.2023.01.075
    Abstract2861)      PDF(pc) (687KB)(12477)       Save
    [Purpose/Significance] Artificial Intelligence Generated Content(AIGC)is driving a paradigm shift in content creation under the trend of virtual reality integration. Exploring the application scenarios and development opportunities of AIGC in the digital intelligence integration environment will help promote the efficient empowerment of AI technology and the realization of the value of content ecology. [Design/Methodology] Focusing on the development history of AIGC, this paper systematically sorts out the conceptual connotation of AIGC from three perspectives: content development, concept analogy and technology development. Based on the characteristics of five application scenes: life scene, service scene, cultural and entertainment scene, technology scene and business scene,the interaction form and interaction mode of AIGC are explored. [Findings/Conclusion] The technical basis of AIGC is the renewal and iteration of digital technology, and the concept of construction is the expansion and gain of creation space, but its essential feature is the innovation and development of content ecology. On the whole, the development opportunities of AIGC are mainly reflected in three levels: content symbiosis based on group intelligence, capacity enhancement based on digital intelligence integration and value co-creation based on incremental market. [Originality/Value] With the breakthrough development of underlying technology and algorithm model, an enormous amount of content spawned by AI is spreading from assisting collaboration and reducing cost to intelligent creation and value-added creation, bringing new creative ideas to the content ecology under the digital intelligence logic.

    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
    Abstract1413)      PDF(pc) (431KB)(12123)       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
    Abstract841)      PDF(pc) (331KB)(12120)       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
    The Practical Experience and Enlightenment of European Digital Literacy Projects for Senior Citizens
    LIU Xiaojuan, XIE Ruiting
    Documentation, Informaiton & Knowledge    2023, 40 (2): 117-130.   DOI: 10.13366/j.dik.2023.02.117
    Abstract1172)      PDF(pc) (566KB)(11609)       Save
    [Purpose/Significance] The improvement of digital literacy and skills of senior citizens is significant for them to cross the digital divide. This study intends to investigate the practice of European digital literacy projects for senior citizens to provide some references for the development of digital literacy projects for senior citizens in China. [Design/Methodology] Through investigating and analyzing current digital literacy projects for senior citizens in Europe, 15 projects were selected as typical cases. The characteristics and practical experiences of projects were summarized in terms of training contents and forms. [Findings/Conclusion] Our analysis shows that there are several characteristics in European digital literacy projects for senior citizens, such as multi-level design of teaching content, focus on digital application scenarios, emphasis on Internet safety education, development of online teaching platforms, complete teaching materials, standardized teaching design, diversified teaching forms, and provision of aging-appropriate special services. Based on the European practical experience, our domestic digital literacy education for senior citizens needs to strengthen multi-institutional collaboration, strengthen the planning and design of education and teaching content oriented to the needs of senior citizens, enrich the teaching form of digital literacy education and explore the digital literacy education model for the elderly suitable for China's national conditions. [Originality/Value] The characteristics of digital literacy education for senior citizens in Europe summarized in this study from the aspects of training content and form will help optimize the process of digital literacy education for senior citizens and promote their digital literacy level.
    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
    Abstract1991)      PDF(pc) (402KB)(11198)       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
    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
    Abstract1715)      PDF(pc) (530KB)(11184)       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
    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
    Abstract1492)      PDF(pc) (888KB)(10495)       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
    Abstract1433)      PDF(pc) (386KB)(10380)       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
    Abstract2713)      PDF(pc) (375KB)(9305)       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
    How to Improve Users Social Presence by Social Robots? The Role of Sticker’s Emotional Valence in Human-AI Conversation Interaction
    DENG Jun, YI Xinyan, FU Shiting
    Documentation, Informaiton & Knowledge    2023, 40 (2): 29-39.   DOI: 10.13366/j.dik.2023.02.029
    Abstract1329)      PDF(pc) (688KB)(9155)       Save
    [Purpose/Significance] In the process of human-AI interaction, chatbots can enhance the user experience by using stickers to express the social cues that text can't convey during human-AI conversations. This study aims to reveal the impact of the congruence of the emotional valence of the sticker and the text on users' social presences and social responses. It will improve the anthropomorphism of social robots and facilitate the widespread acceptance and application of robotic services in the future. [Design/Methodology] The study created a simulated human-AI interaction scenario, meanwhile conducted a controlled experiment in a 2(sticker valence: positive/negative)×2(text valence: positive/negative)within-subject design, in which 45 participants were recruited to complete four rounds of conversational tasks with chatbots and then measured their social presences and social responses of users in congruent group and incongruent group of emotional valence of the sticker and the text through questionnaires. [Findings/Conclusion] Compared with the incongruent group, participants in the congruent group experienced stronger social presences during human-AI interactions and performed more positive social responses. Specifically, they were more willing to accept the chatbot's advice as well as had higher trust, satisfaction, and intention to use them. [Originality/Value] It enhances the theoretical foundation of experience studying in human-AI interaction under visual-verbal multi-modal interfaces, makes methodological contributions for human-AI interaction design decisions, and provides practical guidance for the dialogue design of social robots.
    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
    Abstract842)      PDF(pc) (457KB)(8869)       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
    Abstract926)      PDF(pc) (423KB)(7745)       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
    Abstract803)      PDF(pc) (448KB)(7232)       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
    Abstract1059)      PDF(pc) (430KB)(6977)       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
    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
    Abstract581)      PDF(pc) (433KB)(6675)       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
    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
    Abstract973)      PDF(pc) (386KB)(6568)       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
    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
    Abstract965)      PDF(pc) (404KB)(6409)       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
    Abstract1565)      PDF(pc) (417KB)(6138)       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
    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
    Abstract791)      PDF(pc) (302KB)(6091)       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
    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
    Abstract985)      PDF(pc) (480KB)(5923)       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
    Algorithm Literacy in Digital and Intelligence Era: Connotation, Category and Prospect
    Documentation, Informaiton & Knowledge    2023, 40 (1): 23-34.   DOI: 10.13366/j.dik.2023.01.023
    Abstract1451)      PDF(pc) (567KB)(5846)       Save
    [Purpose/Significance] The advent of the algorithmic society has put forward new goals for individual development, while algorithmic literacy helps to enhance the ability of individuals to interact with algorithms, open up new paths for individuals to enhance algorithmic cognition and skills, cope with algorithmic social risks, and the source governance of algorithms. In view of the limitations of algorithmic literacy concept in current studies, the connotation and elements of algorithm literacy need to be further discussed. [Design/Methodology] Based on the theory of "human-centered AI" and the framework of Key Competencies focusing on individual development, this paper defines the connotation and elements of algorithmic literacy from the perspective of multiple stakeholders. [Findings/Conclusion] Algorithmic literacy consists of three dimensions: thinking level, attitude level and knowledge level that individuals interact with algorithms, and the components of three dimensions differ depending on the target stakeholders such as algorithm producers, algorithm users and algorithm regulators. The future research related to algorithmic literacy can be deepened in three directions: theoretical research, literacy cultivation and algorithmic governance. [Originality/Value] Based on the perspective of multiple stakeholders, this study initially explores the connotation of algorithmic literacy and proposes a framework of algorithmic literacy elements consisting of thinking, attitude and knowledge for multiple stakeholders such as algorithm producers, algorithm users and algorithm regulators, which provides guidelines for promoting future algorithmic literacy research, accelerating algorithmic literacy improvement and assisting algorithmic governance.

    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
    Abstract748)      PDF(pc) (317KB)(5595)       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
    Abstract841)      PDF(pc) (398KB)(5148)       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
    Abstract831)      PDF(pc) (440KB)(5121)       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