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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
    Abstract2894)      PDF(pc) (465KB)(3914)       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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    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
    Abstract1270)      PDF(pc) (291KB)(1904)       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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    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
    Abstract1268)      PDF(pc) (687KB)(1588)       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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    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
    Abstract614)      PDF(pc) (785KB)(1158)       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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    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
    Abstract521)      PDF(pc) (431KB)(833)       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 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
    Abstract507)      PDF(pc) (449KB)(793)       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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    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
    Abstract282)      PDF(pc) (397KB)(754)       Save
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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
    Abstract225)      PDF(pc) (487KB)(716)       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
    Abstract512)      PDF(pc) (530KB)(708)       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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    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
    Abstract198)      PDF(pc) (188KB)(706)       Save
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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
    Abstract502)      PDF(pc) (688KB)(693)       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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    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
    Abstract350)      PDF(pc) (566KB)(623)       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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    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
    Abstract240)      PDF(pc) (499KB)(617)       Save
    舆论场;观点极化;舆论动力学;偏见;社交媒体

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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
    Abstract307)      PDF(pc) (1817KB)(591)       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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    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
    Abstract431)      PDF(pc) (509KB)(586)       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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    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
    Abstract197)      PDF(pc) (398KB)(544)       Save
    [Purpose/Significance] This study aims to explore how generative artificial intelligence(AI)technology empowers the publishing industry to form the principles and process innovations of generative intelligent publishing. Based on the categorical structure of analytical intelligent publishing and generative intelligent publishing, this study investigates the issues of process innovations of generative intelligent publishing in four aspects of content production, content review, intelligent printing, and intelligent marketing. [Design/Methodology] From the perspective of ChatGPT, this study analyzes the ontological attribute definitions of ChatGPT in three aspects: generative AI, cognitive intelligence, and artificial general intelligence.It reveals three key technical principles: massive data advantage, reinforcement learning algorithm advantage, and continuous supercomputing power advantage. Finally, it discusses the process innovations of intelligent publishing based on generative AI. [Findings/Conclusion] The implications of generative AI in the publishing process innovations include the transition from professional generated content to AI generated content, the transition from manual editing to human-machine collaborative intelligent editing, to innovations in printing scenarios such as on-demand printing and intelligent printing factories based on generative AI, and to changes in marketing data, capabilities, efficiency and quality based on generative AI. [Originality/Value] This paper defines the ontological results of generative AI, cognitive intelligence and artificial general intelligence stages for the products of optimizing language models for dialogue represented by ChatGPT. It proposes new characteristics, new laws and new ideas for generative intelligent publishing in the stages of planning, editing, printing and distribution and expands the research scope of digital publishing and intelligent publishing to some extent.
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    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
    Abstract274)      PDF(pc) (404KB)(514)       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.
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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
    Abstract579)      PDF(pc) (567KB)(507)       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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    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
    Abstract337)      PDF(pc) (970KB)(497)       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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    Literature Review of Chatbot Application in Public Sector Management
    Documentation, Informaiton & Knowledge    2022, 39 (5): 144-156.   DOI: 10.13366/j.dik.2022.05.144
    Abstract267)      PDF(pc) (380KB)(491)       Save
    [Purpose/Significance] With the continuous advancement of the government's digital transformation, chatbot technology has been increasingly adopted by public sectors and applied in various governance scenarios. This study seeks to comb and analyze the research status to understand the application trend of emerging technologies and provide research reference for further exploration. [Design/Methodology] Literature research is first conducted to collect the current research articles related to the application of chatbots in the public sector published before October 6, 2022 from databases of Web of Science, CNKI, Google Scholar PKU Scholar and other websites.Inductive method is then used to summarize current research from four aspects: definition and classification, value and limit, main application scenarios, influencing factors, user trust and evaluation. [Findings/Conclusion] For the public sector, chatbots have both value in general and specific applications, but there are limitations in technology and application. The related application scenarios mainly focus on public information service and interaction between government and people, open government data  and data management, public emergency management. The application of chatbots and users' trust in chatbots are affected by many external factors such as environment, organization, technology and so on. The corresponding evaluation frameworks and indicators also involve efficiency, effectiveness, satisfaction and other aspects. [Originality/Value] This paper expounds the research progress of chatbots application in public sector from multiple dimensions, analyzes the key points and shortcomings of the research, and puts forward future research directions, so as to provide reference for subsequent research.

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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
    Abstract318)      PDF(pc) (430KB)(464)       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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    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
    Abstract395)      PDF(pc) (417KB)(458)       Save
    [Purpose/Significance] This study aims to examine the selection of software tools in scientific research activities from the perspectives of "collaborative ability" and "AI empowerment", and propose suggestions for constructing scientific research workflows. [Design/Methodology] Based on the scientific research process, through website surveys and user feedback, we collected information of scientific research tools considering their functional characteristics and user evaluations. Using collaborative ability and AI empowerment as criteria, we compared and selected mainstream scientific research tools. [Findings/Conclusion] There are significant differences in the collaborative abilities of different scientific research software applications, as well as in the degree to which these softwares are integrated with AIGC technology. By constructing optimized workflows through screening scientific research tools, more effective collaboration can be achieved among different stages of scientific research processes, devices, and users to enhance knowledge management and production efficiency of researchers. [Originality/Value] This study provides references for the software choices of researchers and promotes more excellent research tools selected to collaborate in scientific research and improve AIGC capabilities and the overall efficiency of research activities.
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    Ethical Issues of Algorithm-generated Technology from the Creators' Perspective
    Documentation, Informaiton & Knowledge    2023, 40 (1): 56-65.   DOI: 10.13366/j.dik.2023.01.056
    Abstract264)      PDF(pc) (352KB)(419)       Save
    [Purpose/Significance] As an emerging technology,algorithm-generated technology may raises some ethical issues, and the discussion of these ethical problems is of great significance to the improvement of social moral and ethical standards and social governance model. [Design/Methodology] This article reviews the development of algorithm-generated technology, sorts out the limitations of algorithm-generated technology based on literature research and comparative analysis,and analyzes the value and ethical issues of algorithmic-generated technology combined with deontological ethics. [Findings/Conclusion] The application of algorithm-generated technology has economic value, artistic value and cultural value. Meanwhile it causes creators worry about their own abilities and challenges people's subjective status. Therefore, an effective governance model is needed in the era of algorithms. [Originality/Value]On the basis of deontological ethics and from the perspective of equality and autonomy, this paper examines the ethical debates on the use of algorithm-generated technology by different creators, and proposes that in the future algorithmic governance, the principle of "distributive justice" should be adopted in the social mechanism; in the aspect of responsibility attribution, "responsibility and equal rights" is a consensus; and in education and training, "algorithmic literacy" is a requirement. Multi-subjects cooperation is needed to guide and publicize the value of social members to jointly build a standardized and orderly harmonious society.
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    The Connotation, Generation Logic and Implementation Path of Data Trusts: Analysis from the Perspective of Data Circulation
    Documentation, Informaiton & Knowledge    2022, 39 (5): 109-119.   DOI: 10.13366/j.dik.2022.05.109
    Abstract295)      PDF(pc) (460KB)(410)       Save
    [Purpose/Significance] As a new data stewardship mode and data asset management mode, data trusts is of great significances to promote data circulation and the construction of data elements market. [Design/Methodology] On the basis of literature research and inductive analysis, combined with multi-disciplinary thinking such as the theories of data rights, data circulation and public trusts, this paper analyzes the connotation, practical significance, theoretical basis and realizing path of data trusts from multiple perspectives. [Findings/Conclusion] As a emerging intermediaries, a new data relationships and a regulatory tool, data trusts optimizes the  theoretical connotation from emphasizing both value and safety, implements a fair and transparent operation mechanism,builds a credible ecological environment of data circulation, and thus solves the lack of vitality of the main body, crisis of trust and contraction of governance space under traditional data circulation.The healthy development of data trusts requires the collaborative governance of data regulation system, data security governance, trusts operation rules, trusted data ecology and other elements. [Originality/Value] This paper clarifies the connotation framework of data trusts, analyzes the stewardship utility and market value of data trusts from the perspective of data circulation rather than personal data management, which will provide reference for the construction of data elements market and the development of data trusts industry in China.

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    Measuring Human-AI Interaction Experience: Implications for Conducting Controlled Experiments
    JIANG Tingting, TIAN Huiyi, XU Yanrun, FU Shiting
    Documentation, Informaiton & Knowledge    2023, 40 (2): 10-19.   DOI: 10.13366/j.dik.2023.02.010
    Abstract330)      PDF(pc) (725KB)(398)       Save
    [Purpose/Significance] Human-AI interaction(HAII)has become a frontier research theme in the field of human-computer interaction. The research of Human-AI interaction focuses on the processes and outcomes of human using artificial intelligence to accomplish specific tasks and explores the function and mechanisms of each element in the process. This study aims to reveal the application of controlled experiments in existing foreign HAII research and to acquire implication, which would provide guidance for future experimental studies and accelerate the development and popularization of human-centered AI. [Design/Methodology] This study conducts a systematic review on 114 experimental research articles on Human-AI interaction experience, which were published between 2007 and 2022. It proposes a five first-level categories coding table including experimental samples, experimental tasks, experimental materials, experimental observation dimensions and data analysis methods, based on which the content analysis on the experimental design part of the literature has been conducted. [Finding/Conclusion] Previous researches have shown the characteristics such as single sampling method, low reusability of experimental materials, insufficient use of objective experimental observation tools, and prospective experimental tasks. [Originality/Value] The research focus on the emerging research direction of human-AI interaction experience, is the first to comprehensively review and analyze the research methodology and contribute a complete set of basic framework for experimental design, which helps to improve the standardization and scientificity of human-AI interaction experience research.
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    Discipline Category, Paradigm Framework and Correlation Path of Health Informatics
    Documentation, Informaiton & Knowledge    2023, 40 (1): 86-97.   DOI: 10.13366/j.dik.2023.01.086
    Abstract188)      PDF(pc) (1239KB)(391)       Save
    [Purpose/Significance] Health informatics has gradually become a hot research field because of the implementation of Healthy China strategy. This study aims to systematically summarize the discipline category, research paradigm and the correlation path, which will promote the development of domestic health informatics. [Design/Methodology] First, to explore the discipline category of health informatics, we performed the quantitative analysis of the interdisciplinary status and research topics of 20559 related papers. Secondly, in order to construct the paradigm framework of the discipline from a qualitative perspective, the content analysis method was used to encode and summarize the research content, data sources, research methods and theoretical basis. Finally, a knowledge graph of correlation paths among the elements of health informatics was constructed by  the Neo4j software, and its feasibility was verified. [Findings/Conclusion] The findings reveal that health informatics is a typical interdisciplinary discipline with wide coverage and strong interdisciplinary.The main research contents of health information are the application of artificial intelligence algorithm, users and information behavior, the application of human-computer interaction system, clinical application of information technology, information and knowledge service, information storage and organization, information retrieval, and bibliometrics, which are the base of paradigm framework and correlation path knowledge map of this field. [Originality/Value] This paper systematically summarizes the discipline category and paradigm framework of the health informatics, and provides useful suggestions to strengthen the development of health informatics discipline in China.

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    The Meeting Minutes of China Information Science Annual Meeting & Information Science and Service Development Forum(2022)
    JIA Shiwei, CHEN Huitong
    Documentation, Informaiton & Knowledge    2023, 40 (4): 153-160.   DOI: 10.13366/j.dik.2023.04.153
    Abstract150)      PDF(pc) (363KB)(382)       Save
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    Cryptocurrency Terrorist Financing Regulation: Transaction Pattern Analysis and Abnormal Entity Identification
    Documentation, Informaiton & Knowledge    2022, 39 (6): 55-66.   DOI: 10.13366/j.dik.2022.06.055
    Abstract301)      PDF(pc) (1051KB)(376)       Save
    [Purpose/Significance] Cryptocurrency transaction is globally anonymous with low cost, which is in favor of terrorists and criminals to transfer funds around the world. Effective supervision of cryptocurrency transactions has become a challenge for academia, industry and relevant law enforcement agencies. [Design/Methodology] Relying on transaction data of Bitcoin as a representative cryptocurrency, this study conducts social network analysis to identify abnormal addresses and transaction patterns, and utilizes machine learning algorithms to identify Bitcoin owners. [Findings/Conclusion] Through the analysis of real cases of Bitcoin terrorist financing, it is proved that our proposed method is effective in identifying terrorist financing entities and detecting typical fund transaction patterns of terrorist organizations in cryptocurrency transactions. [Originality/Value] This paper studies the dark side of cryptocurrency transactions through data mining and analysis, which has both practical significance and theoretical value for the regulation of cryptocurrencies and blockchain.

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    A Comprehensive Review of Symposium on National Cultual Heritage and Cultural Development (2022)
    Documentation, Informaiton & Knowledge    2022, 39 (5): 12-19,30.   DOI: 10.13366/j.dik.2022.05.012
    Abstract126)      PDF(pc) (315KB)(369)       Save
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    The Landscape of Social Science in the Era of Large Language Models
    XIE Tian, QIU Lin, LI Yutong, LUO Yin, LIU Pan
    Documentation, Informaiton & Knowledge    2023, 40 (6): 6-9,30.   DOI: 10.13366/j.dik.2023.06.006
    Abstract293)      PDF(pc) (266KB)(362)       Save
    Large language models(such as GPT)have brought unprecedented breakthroughs in the field of artificial intelligence. In this article, we briefly introduce large language models, and illustrate how such models have been applied in each stage of social science research, including literature review, theory formation, research design, data collection, and data analysis. We envision new research paradigms brought by large language models, and new challenges faced by social science researchers.
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