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    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
    Abstract3663)      PDF(pc) (465KB)(5278)       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.

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    Generative Artificial Intelligence Governance Action Framework:Content Analysis Based on AIGC Incident Report Texts
    ZHU Yu, CHEN Guanze, LU Yongrong, FAN Wei
    Documentation, Informaiton & Knowledge    2023, 40 (4): 41-51.   DOI: 10.13366/j.dik.2023.04.041
    Abstract672)      PDF(pc) (431KB)(4514)       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.
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    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
    Abstract1891)      PDF(pc) (291KB)(3236)       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".
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    Knowledge Reorganization and Scene Reconstruction: A Metaverse for Digital Resources Management
    Documentation, Informaiton & Knowledge    2022, 39 (1): 30-38.   DOI: 10.13366/j.dik.2022.01.030
    Abstract1343)      PDF(pc) (425KB)(2459)       Save
    [Purpose/Significance] This paper discusses the application scenarios, technical paths and potential risks of digital resources management under the background of metaverse, which intends to provide reference for the processes of multi-modal integration, visual presentation, interactive operation, copyright management and value transformation of digital resources. [Design/Methodology]Combined with the space-time ductility, human-computer integration and economic enhancement of metaverse, based on the technical foundation of digital twin, expanded reality(VR/AR/MR)and blockchain, this study explored the integration possibility of metaverse with digital resources management through qualitative analysis from the aspects of multi-source clustering, resource indexing, knowledge reorganization, release sharing and interactive operation. [Findings/Conclusion] The integrated application of metaverse and digital resources management can be divided into three stages, including digital twin, virtual primitiveness and virtual-realintegration. Among them, multi-modal knowledge reorganization based on semantic ontology, twin-scene construction based on knowledge graph and event logical graph, human-computer interaction based on virtual-real interface, and virtual-real value transformation based on NFR/NFT are the four keypoints. [Originality/Value] According to the development of metaverse technologies and organizational characteristics, combined with the critical points of digital resources management, this paper proposes the technology integration points and potential application scenarios, which could provide a reference for the digitization, virtualization and intellectualization transformation of relevant information institutions in China.

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    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
    Abstract1623)      PDF(pc) (687KB)(2135)       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.

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    A Review on Application Studies of LDA Topic Models in Library and Information Science Field
    Documentation, Informaiton & Knowledge    2022, 39 (6): 143-157.   DOI: 10.13366/j.dik.2022.06.143
    Abstract615)      PDF(pc) (509KB)(1794)       Save
    [Purpose/Significance] According to previous work, this paper aims to summarize and sorte out the applied process and applied fields of LDA model to provide reference for the research of LDA model in library and information science(LIS)field. [Design/Methodology] We selected Web of Science Core Collection、LISA、Google Scholar、CNKI、VIP and WANFANG Database as data source, retrieved literature about the LDA model in the field of LIS, constructed the analytical framework of LDA model application research through content analysis, from the perspective of the applied process of these models, carefully analyzed the current research at home and abroad [Findings/Conclusion] The results show that a more mature analysis process has been formed for the research of LDA topic models in LIS field, it has been applied in rich fields such as topic exploration, knowledge organization, academic evaluation, sentiment analysis,but the research still need to be strengthened in the future in dealing with complex tasks such as processing big data and multimodal data,improving the semantic quality of modeling results and the application of extended model [Originality/Value] Based on the applied process of LDA model, the existing problems and development direction of LDA model research in the field of LIS are revealed in detail.

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    Literature Review of Network Public Opinion Research from the Perspective of Sentiment
    Documentation, Informaiton & Knowledge    2022, 39 (1): 105-118.   DOI: 10.13366/j.dik.2022.01.105
    Abstract1220)      PDF(pc) (1808KB)(1758)       Save
    [Purpose/Significance] From the emotional perspective, this paper aims to analyze the domestic and oversea research progress and development trends of network public opinion, which could help scholars in related fields understand the research hotspots and development directions, and provide theoretical support and reference value for further research in the future. [Design/Methodology]With the use of word cloud and CiteSpace,the literature number, keywords, and research hotspots were visualizedly analyzed.Moreover, by using the literature analysis method, the classification, evolution, prediction and governance of network public opinion were concluded and compared within domestic and oversea research. A literature review was conducted for the research on network public opinion and the future development directions were obtained. [Findings/Conclusion] Through the conclusion and organization of relevant literatures at home and abroad, a summary has been made for the research on network public opinion from the perspective of emotion. Moreover, the future development direction of this field has been gained. [Originality/Value] This paper sorts out the research on network public opinion at home and abroad from the different stages of network public opinion sentiment analysis, summarizes the research keypoints and future development directions, which could provide reference for further research on network public opinion.
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    Human-AI Interaction Experience Research: Accelerating the Development of Human-Centered AI
    Documentation, Informaiton & Knowledge    2022, 39 (4): 43-55.   DOI: 10.13366/j.dik.2022.04.043
    Abstract777)      PDF(pc) (785KB)(1645)       Save
    [Purpose/Significance] As the two sides of the same coin, "Human-AI interaction"(HAII)and "Human-Centered AI"(HCAI)have become frontier research themes in the field of human-computer interaction and artificial intelligence respectively.Taking the research of HAII experience as the entry point, this study aims to help researchers in such "user-centered" fields as information behavior and user experience consider how to give play to their unique advantages in user study and interactive design, and actively participate in promoting the long-term and stable development of HCAI. [Design/Methodology] This study conducted a literature survey on previous HAII experience research, with an aim to identify the major topics and determine its connections to HCAI research. [Findings/Conclusion] The existing HAII experience research focus on quantifying the influence of human or AI characteristics on the interaction experience. However, the characteristic dimensions of the two subjects were not explored in a systematic manner, and the task and environment components of interaction were not considered. More importantly, the dimensions of user experience investigated were not well connected to the key issues of HCAI. [Originality/Value] A preliminary research system of HAII experience is established: at the level of research design, the interaction subjects, tasks, environment, and experience constitute the core framework; and at the level of research themes, human-AI collaboration, human-AI competition, human-AI conflict, and human-AI symbiosis are promising directions. The research system provides clear guidance for conducting user studies in AI-involved context in the future.
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    The Impact of Generative AI like ChatGPT on Digital Literacy Education in University Libraries
    GONG Furong
    Documentation, Informaiton & Knowledge    2023, 40 (5): 97-106,156.   DOI: 10.13366/j.dik.2023.05.097
    Abstract740)      PDF(pc) (449KB)(1507)       Save
    [Purpose/Significance] This paper aims to investigate the influencing factors and guiding strategies of Generative AI like ChatGPT on digital literacy education in university libraries, which will provide reference models and case studiesfor the domestic digital literacy education workers in colleges and universities, and facilitate the development of a localized framework for digital literacy in Chinese universities based on artificial intelligence. [Design/Methodology] By employing empirical research methodology, the test paper was designed based on the existing five dimensions of digital literacy, and content analysis of the test answers was conducted in three dimensions: knowledge content, competency, and emotional value. [Findings/Conclusion] We have identified four key characteristics of the knowledge content of digital literacy education within the scope of artificial intelligence, and have summarized the guidance and impact of artificial intelligence tools on students' higher-order thinking skills and emotional value. [Originality/Value] This paper focuses on agranular analysis of the impact of artificial intelligence tools on digital literacy education, and realizes the effect testing and result analysis of digital literacy learning conducted with multiple individuals simultaneously using ChatGPT generative AI tools.
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    Research Paradigm and Platform Construction of Digital Humanities
    Documentation, Informaiton & Knowledge    2022, 39 (1): 6-29.   DOI: 10.13366/j.dik.2022.01.006
    Abstract822)      PDF(pc) (1402KB)(1393)       Save
    [Purpose/Significance] Digital humanities platform, as an component of infrastructure which provides study materials for humanities scholars in various disciplines, is the carrier of digital research methods. It can contribute to the enrichment of digital humanities methodological system and the establishment of a new research paradigm of digital humanities. [Design/Methodology] This paper investigated the characteristics of digital humanities, and proposed a paradigmatic framework for humanities research.With the consideration of the projects and papers presented in domestic digital humanities annual meetings, the construction of the Chinese digital humanities resource platforms was discussed, which emphasized the functional requirements and development trends. Finally, by taking the Digital Humanities Platform of Shanghai Library as an example, applications of the thoughts and ideas were illustrated. [Findings/Conclusion] The digital humanities platform is divided into literature layer, data layer, interface layer, tool layer and presentation layer. According to the methodological characteristics of Chinese digital humanities, this paper summarizes different types of platforms. It also puts forward some design principles on how digital humanities platforms can have advanced systems, complete resources, comprehensive functions, abundant tools and user-friendliness. [Originality/Value] This paper proposes a research paradigm of digital humanities consisting of technology, process and behavior. In the digital humanities platforms, the combination of the three aspects with humanities resources are the basic components of the digital humanities research infrastructure. In addition to the focus on the technical architecture, it is also necessary toextract the content architecture featured by domain knowledge specially for design and implementation. Besides, the best practices of implementation with semantic technology(knowledge graph)have been discussed.

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    Research Progress in Data Element Markets at Home and Abroad: A Systematic Literature Review
    WANG Xue, XIA Yikun, PEI Lei
    Documentation, Informaiton & Knowledge    2023, 40 (6): 117-128.   DOI: 10.13366/j.dik.2023.06.117
    Abstract540)      PDF(pc) (402KB)(1190)       Save
    [Purpose/Significance] A systematic review of data element market literature at home and abroad helps to deeply understand the structural composition and operational framework of data element market, grasp its key issues and main ideas, and reveal the current research progress and weaknesses, so as to provide theoretical and practical guidance for strengthening the construction of data element market in China. [Design/Methodology] Adopting the bibliometric analysis method and taking the literature related to the topic of data element market in Web of Science and CNKI as the analysis object, based on keyword co-occurrence and its temporal clustering, this paper analyzes the basic theory of data element market construction, operation mechanism and main viewpoints on the development of data trading institutions at home and abroad in conjunction with the text content. [Findings/Conclusion] Research shows that "data element market" is a hot issue of academic research at home and abroad, mainly focusing on the concept system of data elements, the core issues such as operation of the data element market and data trading platforms. Overall, the research is still in the exploratory stage of research, and there is no consensus on research involving data property rights, pricing, and regulation. The systematic and in-depth study of China's data element market still needs to be improved. [Originality/Value] This paper systematically sorts out the research progress of data element market at home and abroad, summarizes the research characteristics and development direction, which provides a reference for further research.
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    The Phenomenon of the Public Opinion Polarization: Causes, Identification and Counter Measures
    Documentation, Informaiton & Knowledge    2022, 39 (6): 89-100.   DOI: 10.13366/j.dik.2022.06.089
    Abstract367)      PDF(pc) (499KB)(1178)       Save
    舆论场;观点极化;舆论动力学;偏见;社交媒体

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    Does Knowledge Payment Help Alleviate Knowledge Anxiety? Empirical Evidence from a Mixed Study
    Documentation, Informaiton & Knowledge    2022, 39 (3): 103-115.   DOI: 10.13366/j.dik.2022.03.103
    Abstract516)      PDF(pc) (497KB)(1178)       Save
    [Purpose/Significance] Drawing on Expectation Confirmation Theory(ECT) and related theories of knowledge acquisition, the study aims at exploring whether and how knowledge payment can alleviate users' knowledge anxiety, which helps to understand the user's psychology for knowledge payment and optimize the design of knowledge products. [Design/Methodology] The mixed-method was adopted. Firstly, we used an in-depth interview to build a theoretical framework depicting the relationship between the use of online knowledge products and their anxiety alleviating. Then, we conducted a questionnaire survey to examine the impact of the use of online knowledge products on users' anxiety alleviating and its underlying mechanism. [Findings/Conclusion] The main findings are:(1)The degree of expectation confirmation is the logical starting point to understand whether knowledge payment can alleviate knowledge anxiety;(2)The relief of knowledge anxiety depends on both the confirmation of expectation and individuals' continuous efforts;(3)The current knowledge payment products are more suitable for users with low or middle thirst for knowledge to alleviate knowledge anxiety. [Originality/Value] Theoretically, the study proposed a conceptual model of knowledge payment and knowledge anxiety relief,then verified the conditions of knowledge payment to relieve knowledge anxiety. Practically, the results provided insightful information for users to make decision in purchasing and form strategies for knowledge paid product,and for product developers to maintain the sustainable development of the products.
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    The High Quality Development for Information Resources Management in the New Era: The Minutes of the Forum on the Development of Information Resources Management in China(2023)
    HU Zhiwei, LI Yang, KANG Lele, PEI Lei
    Documentation, Informaiton & Knowledge    2023, 40 (5): 6-15.   DOI: 10.13366/j.dik.2023.05.006
    Abstract269)      PDF(pc) (487KB)(1095)       Save
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    Analysis on AIGC False Information Problem and Root Cause from the Perspective of Information Quality
    MO Zuying, PAN Daqing, LIU Huan, ZHAO Yueming
    Documentation, Informaiton & Knowledge    2023, 40 (4): 32-40.   DOI: 10.13366/j.dik.2023.04.032
    Abstract701)      PDF(pc) (530KB)(1070)       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.
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    A New Approach for Information Resources Management Empowered by Data Intelligence: The Concept, Connotation and Development of Instruction Engineering
    LU Wei, WANG Lei, CHENG Qikai, LIU Jiawei, HUANG Yong
    Documentation, Informaiton & Knowledge    2024, 41 (1): 6-11.   DOI: 10.13366/j.dik.2024.01.006
    Abstract264)      PDF(pc) (302KB)(1069)       Save
    The emerging wave of scientific revolution and industrial transformation is burgeoning, with technologies such as big data and artificial intelligence exerting a profound impact on the information resources management discipline. Under the background of large language models(LLMs), instruction engineering guides the generation of model results through high-quality, systematic and procedural instruction design, which is an important approach to efficiently leverage the capabilities of LLMs and can be applied to resolve discipline-related issues. This article firstly introduces the concept of instruction engineering, and then thoroughly analyzes the constituent elements and design patterns of instructions, as well as the features and significance of instruction engineering. We also discuss the construction path of instruction engineering empowered information resources management. In the future, research and development in instruction engineering should focus on the construction of both general and domain-specific instruction engineering, standardization, intellectual property protection, security and systematic testing and assessment, aiming to enable instructions to effectively demonstrate their efficacy in complex application scenarios across various industries.
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    A Research Review of the Academic Paper Innovativeness
    Documentation, Informaiton & Knowledge    2022, 39 (4): 68-79.   DOI: 10.13366/j.dik.2022.04.068
    Abstract445)      PDF(pc) (727KB)(1057)       Save
    [Purpose/Significance] Research on the academic paper innovativeness helps to accelerate the sharing of knowledge innovation, achieve innovative breakthroughs or re-innovation, promote the development of national innovation. It is also helpful to create a good scientific research atmosphere and guide scientific research to attach importance to innovation.[Design/Methodology] Based on the existing literature, this paper explains the current research situation of academic paper innovativeness from four dimensions: the differentiation of related concepts, types, identification method, as well as the application of academic paper innovativeness. Furthermore, the future research has been prospected. [Results/Conclusions] This paper summarizes the connotation of academic paper innovativeness, two types of academic paper innovativeness, sorts out 4 methods for innovativeness identification of academic paper innovativeness and the application of academic paper innovativeness research, and points out the following dynamic changes:(1)based on scientific evaluation of the new era, further deepen the theoretical research of academic paper innovativeness, and lay a solid theoretical foundation for the selection of high-quality academic papers;(2)use new information technology to comprehensively identify the academic paper innovativeness;(3)strengthen the application of academic paper innovativeness research, enhance innovation, and create a good scientific atmosphere. [Originality/Value] Multi-dimensional exposition of the academic paper innovativeness in this paper is key to fully understand the innovation of academic papers, and accurately grasp its development trends.
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    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
    Abstract626)      PDF(pc) (688KB)(1043)       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.
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    A Review on Policy Text Research: From Content Computation to Function Comprehension
    HU Jiming
    Documentation, Informaiton & Knowledge    2023, 40 (4): 145-152.   DOI: 10.13366/j.dik.2023.04.145
    Abstract408)      PDF(pc) (331KB)(991)       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.
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    Metaverse and Smart Library: A New Path of Empowering Culture Through Science and Technology
    Documentation, Informaiton & Knowledge    2022, 39 (6): 6-16.   DOI: 10.13366/j.dik.2022.06.006
    Abstract326)      PDF(pc) (397KB)(981)       Save
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    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
    Abstract477)      PDF(pc) (566KB)(946)       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.
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    Research on Social Media Health Rumors from the Perspective of Literature: Characteristics, Dissemination and Governance
    Documentation, Informaiton & Knowledge    2022, 39 (5): 131-143.   DOI: 10.13366/j.dik.2022.05.131
    Abstract444)      PDF(pc) (1817KB)(903)       Save
    [Purpose/Significance] A systematic analysis of health rumors in the social media environment will help to expand the research vision of health informatics and provide reference for the scientific governance of health rumors. [Design/Methodology] This study combines bibliometrics and content analysis. Based on the discrimination of health rumors and their related concepts, the data bases of SSCI, SCI, PubMed, CSSCI, CSCD, and PKU core journals are employed as data sources. As such, 213 articles published before April 14, 2022 are analyzed in this study. As such, we sort out and summarize these research from the perspectives of characteristics, dissemination, and governance of social media health rumors. [Findings/Conclusion] The research reveals the characteristics, dissemination elements and identification methods of social media health rumors, and finally constructs a multi-agent collaborative governance framework for social media health rumors. Accordingly, this study proposes the future research directions, including building a public corpus of health rumors, paying attention to the research on multimodal health rumors, attaching importance to health rumors whose authenticity has been proved to be not false, revealing the differences of the dissemination characteristics of health rumors in different media, and studying the health rumors combining the features and advantages of Library and Information Science. [Originality/Value] Under the background of the implementation of Healthy China Strategy and the construction of network governance system with Chinese characteristics, this paper combs the domestic and foreign research on social media health rumors, clarifies the thread of thought and the development trend of research on social media health rumors, and puts forward the research direction of social media health rumors in the future.

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    Survey Report on the Development Status of Undergraduate Degree Education in Big Data Management and Application(2023)
    DENG Shengli, WANG Fan, XIA Sudi
    Documentation, Informaiton & Knowledge    2024, 41 (1): 69-79,101.   DOI: 10.13366/j.dik.2024.01.069
    Abstract241)      PDF(pc) (646KB)(897)       Save
    [Purpose/Significance] This paper conducts a nationwide survey on the development status of undergraduate education of Big Data Management and Applications, with the aim of reflecting its development trends and proposing corresponding suggestions. [Design/Methodology] This study systematically dissected the current situation of the undergraduate education of Big Data Management and Applications in China from six dimensions, including institutions, faculty, enrollment, employment, curriculum system, and training objectives, and reflected the development trends of this major by comparing with previous years. [Findings/Conclusion] As of December 2022, the number of institutions offering this major has reached 183. Most institutions adjust their teaching according to social demands and their own positioning, gradually form their own characteristics while emphasizing professional practice. In addition, the curriculum system of most training institutions do not fully match the training objectives, and courses on big data management and big data applications need to be added. [Originality/Value] This study provides a comprehensive and in-depth analysis of the undergraduate programs in Big Data Management and Applications across the country, reflecting the current development status and existing issues of this major. It serves as a valuable reference for the sustainable development of such specialties.
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    From Function Integration to Social Interaction: Domestic and International Research Progress of Academic Social Networks
    Documentation, Informaiton & Knowledge    2022, 39 (1): 95-104.   DOI: 10.13366/j.dik.2022.01.095
    Abstract602)      PDF(pc) (388KB)(896)       Save
    [Purpose/Significance] Academic social networks realize the integration of academic resources and social media. They also satisfy the scholars’needs of socialized research interaction. A comprehensive review of the research progress in this field will be helpful for revealing the status and trends of academic social network research more profoundly, and providing support for subsequent research. [Design/Methodology] On the basis of reorganizing and clearly defining the concept of academic social networks, by gathering, reading, and sorting out 292 domestic and international research literatures on academic social networks, the research contents were summarized and the research progress was revealed. [Findings/Conclusion] Relevant studies are mainly conducted from the perspective of presenting the subject(platforms)and the service object(users). The studies of platforms mainly focus on basic function integration and comparison, special recommendation functions and systems, functional metrics and their effectiveness for evaluation, and the impacts on relevant academic activities. The studies of users include user motivation and influencing factors, basic participation levels and their differences, deep utilization and social interaction. The exploration of metrics application, platform comparison, user group comparison, and behavior patterns needs to be furthered. [Originality/Value] This paper reviews the domestic and international research progress of academic social networks from the aspects of platform function integration and users’social interaction behavior, and provides targeted reference and follow-up research suggestions for platform optimization and user experience improvement.

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    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
    Abstract749)      PDF(pc) (567KB)(894)       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.

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    Digital Inclusion: A Review of English Literature
    FU Xiwen, HUANG Siya
    Documentation, Informaiton & Knowledge    2023, 40 (4): 99-110,121.   DOI: 10.13366/j.dik.2023.04.099
    Abstract487)      PDF(pc) (430KB)(890)       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.
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    Mobile Search Behavior of Social Media App Users:Context, Strategy and Path
    Documentation, Informaiton & Knowledge    2022, 39 (6): 133-142.   DOI: 10.13366/j.dik.2022.06.133
    Abstract422)      PDF(pc) (970KB)(855)       Save
    [Purpose/Significance] This paper explores users' mobile search behavior when using social media apps from three aspects of search context, search strategy and behavior path. It is helpful to deeply understand users' information behavior characteristics on social media apps. [Design/Methodology] In this paper, 40 users were recruited as experimental subjects for a fee, and their behavioral data and contextual information during using social media apps for mobile search within 20 days were obtained through the method of structured logs and analyzed to reveal the behavioral characteristics of users using social media APP for mobile search. [Findings/Conclusion] The users' mobile search time of using social media is generally short, and the search locations are relatively centralized.In the context of social media usage, users' mobile search tasks are mainly about informational, and the distribution of mobile search motivations is relatively average.There are different associations between different search tasks, search motivations and search topics. After initial search, social media users will continue to search, share search results or engage in other behaviors, accompanied by the switching of app interaction path. [Originality/Value] The innovation of this paper mainly focuses on users' search behavior on social media APPs, which is a supplement to the study of social search behavior in the mobile Internet environment.
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    Minutes of the Forum on Artificial Intelligence in Information Management
    Documentation, Informaiton & Knowledge    2022, 39 (6): 17-19.   DOI: 10.13366/j.dik.2022.06.017
    Abstract232)      PDF(pc) (188KB)(831)       Save
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    Study on Big Knowledge Graph of Cultural Heritage Based on the Perspective of  Knowledge Association: Theories, Methods and Trends
    Documentation, Informaiton & Knowledge    2022, 39 (2): 133-143.   DOI: 10.13366/j.dik.2022.02.133
    Abstract313)      PDF(pc) (766KB)(814)       Save
    [Purpose/Significance] As a new interdisciplinary field of humanity and technology, the research on big knowledge graph of cultural heritage associated and integrated cultural heritage resources,which applied the intelligent theories and methods is the key to the "living" of cultural heritage and is of great significance to the inheritance and development of Chinese excellent traditional culture. [Research design / Method] From the perspective of knowledge association, applied  the methods of literature analysis and expert investigation, this paper had systematically surveyed the current theories and methods for big knowledge graph of cultural heritage, constructed the theoretical framework and method system for research on big knowledge graph of cultural heritage, and analyzed the future research trend. [Conclusion / Discovery] To promote the research on big knowledge graph of cultural heritage, it is crucial that the knowledge association should be taken as the foundation, the cultural genes is taken as the core, the integration and innovation of interdisciplinary theories should be strengthened, a knowledge-driven method system should be built further combined with new technologies such as brain computer integration and metaverse.[Innovation / Value] It is the innovation point that the theoretical framework, method system and research trend for big knowledge graph of cultural heritage from the perspective of knowledge association had been put forwarded.
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    The Influencing Factors of Young Users' Willingness to Use Online Emoticons
    Documentation, Informaiton & Knowledge    2022, 39 (2): 6-19.   DOI: 10.13366/j.dik.2022.02.006
    Abstract509)      PDF(pc) (873KB)(766)       Save
     [Purpose/Significance] This paper carried out a research on influencing factors that affect the willingness of young users to use online emoticons from the perspective of user experience, which provides references and suggestions on optimizing the user experience of using online emoticons and promoting the healthy development of online emoticons. [Design/Methodology] Combined S-O-R model with semi-structured interviews results, a theoretical model that describes the factors influencing young users' willingness to use online emoticons has been constructed, 387 valid questionnaires have been collected by questionnaire method, and data analysis and hypothesis testing are carried out by using SmartPLS 3.0 software. [Findings / Conclusion]There are differences in the effects of different dimensions of emoticons characteristics (visual attraction, content presentation, and information interpretation) and usage contexts (interaction platform, interaction object, and interaction scene) on flow experience and social presence; flow experience and social presence have significant and positive influence on users' willingness to use online emoticons, and play an important mediating role in the process where emoticon characteristics and usage contexts influence users' willingness to use online emoticons. [Originality/Value]This paper uses a combination of semi-structured interviews and structural equation model to investigate the factors influencing young users' willingness to use online emoticons, which not only enriches the literature related to users' online emoticon use behavior, but also provides new ideas to explore the issue of users' willingness to use.
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