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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 Abstract （1108）      PDF（pc） （509KB）（15694）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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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 Abstract （5135）      PDF（pc） （465KB）（13417）       Knowledge map    Save [Purpose/Significance] The enrichment and emergence of multi-modal content promote the updating and iteration of technical models.This paper discusses the challenges and opportunities of AI generated content（AIGC）from the perspective of information resource management,which will play a positive role in the future application expansion and scene landing of AIGC. [Design/Methodology] Based on the evolution and development of the Internet, this paper combs the basic conditions for the development of AIGC from four aspects: network form evolution, content production, interpersonal interaction mode, and network resource organization. Focusing on three dimensions of data assignment, model intelligence and space empowerment, this paper discusses the technical characteristics of AIGC, the technical elements founded on data, algorithms and computing power, and the development stages based on entity twinning, learning and creation, and real-time autonomous generation. [Findings/Conclusion] The integration of AIGC and technical algorithms has brought a substantial impact on the research and practice of information resource management, which is embodied in information organization, data asset management, user research and information ethics. [Originality/Value] AIGC, supported by information resources, has strong productivity, which has brought a new attempt to the entire content ecology and creation model, analyzing its elements, characteristics and impacts is helpful to promote the exploration and practice of AIGC in the field of information resource management. Related Articles | Metrics | Comments（0）

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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 Abstract （1259）      PDF（pc） （449KB）（9163）       Knowledge map    Save [Purpose/Significance] This paper aims to investigate the influencing factors and guiding strategies of Generative AI like ChatGPT on digital literacy education in university libraries, which will provide reference models and case studiesfor the domestic digital literacy education workers in colleges and universities, and facilitate the development of a localized framework for digital literacy in Chinese universities based on artificial intelligence. [Design/Methodology] By employing empirical research methodology, the test paper was designed based on the existing five dimensions of digital literacy, and content analysis of the test answers was conducted in three dimensions: knowledge content, competency, and emotional value. [Findings/Conclusion] We have identified four key characteristics of the knowledge content of digital literacy education within the scope of artificial intelligence, and have summarized the guidance and impact of artificial intelligence tools on students' higher-order thinking skills and emotional value. [Originality/Value] This paper focuses on agranular analysis of the impact of artificial intelligence tools on digital literacy education, and realizes the effect testing and result analysis of digital literacy learning conducted with multiple individuals simultaneously using ChatGPT generative AI tools. Related Articles | Metrics | Comments（0）

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Developing an Evaluation Index System and Its Testing Questions for Government Intelligent Q&A Systems WANG Fang, WEI Zhonghan, LIAN Zhixuan Documentation, Informaiton & Knowledge    2023, 40 (6): 98-111.   DOI: 10.13366/j.dik.2023.06.098 Abstract （671）      PDF（pc） （439KB）（8930）       Knowledge map    Save [Purpose/Significance] Intelligent question and answer（Q&A）system is becoming an important facility for public services delivery. The purpose of this study is to promote the construction of government intelligent Q&A systems by evaluation, and reduce the administrative burden of citizens. [Design/Methodology] Firstly, based on literature research, theoretical analysis and case study, an evaluation indicator system for government intelligent Q&A system was constructed, and the indicator weight was determined by expert survey and AHP method. Secondly, a testing question set for problem solving quality was developed based on the hot consultation issues. Finally, 30 provincial government Q&A systems in China were evaluated with the indicator system and the matched questions. [Findings/Conclusion] The evaluation index system of government intelligent question and answering system includes three dimensions, namely, the quality of problem solving, the quality of service interaction, and the quality of infrastructure construction, as well as 18 refined indicators, such as the rate of high-frequency question answering, the rate of synonymous question answering, and the number of interactions. The testing question set includes five categories of questions: high-frequency, synonymous, error, ellipsis, and English ones. The practical evaluation proves the usability and effectiveness of the indicator system and testing questions set. [Originality/Value] This study constructs an evaluation index system for government intelligent Q&A systems from the perspective of reducing administrative burden, compiles testing question sets using text mining technique, and proves their usability through an actual evaluation. Related Articles | Metrics | Comments（0）

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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 Abstract （845）      PDF（pc） （970KB）（8446）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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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 Abstract （1353）      PDF（pc） （530KB）（8272）       Knowledge map    Save [Purpose/Significance] This paper aims to analyze the types and characteristics of false information in AIGC,which has a positive role in understanding the root causes of false information and reducing its generation. [Design/Methodology] In this study, the method of data testing experiment was adopted. Based on the perspective of information quality, the types and characteristics of false information generated by AIGC were analyzed through collecting first-hand testing data of AI systems and second-hand false information of AIGC. Further, focusing on the information generation process of artificial intelligence language models, we explored the origins of false information generation in AIGC. [Findings/Conclusion] False information in AIGC mainly consists of two types: factual false information and hallucinatory false information. Factual false information is primarily focused on errors in five aspects: data errors, author and his works errors, errors in objective facts, programming code errors, and machine translation errors. On the other hand, hallucinatory false information is mainly concentrated in the areas of fake news events, false academic information, false health information, and bias and discrimination. The origins of false information in AIGC are related to three factors: large-scale language models, pre-training datasets, and human annotations. [Originality/Value] This study employes a data testing experimental approach, complemented by the collection of second-hand data, comprehensively analyzes various types of false information in AIGC, and divides false information into factual false information and hallucinatory false information based on the generation mechanisms and manifestations, which provides a theoretical foundation for further research on false information in AIGC. Related Articles | Metrics | Comments（0）

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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 Abstract （1779）      PDF（pc） （1808KB）（7977）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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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 Abstract （1170）      PDF（pc） （431KB）（7756）       Knowledge map    Save [Purpose/Significance] The breakthrough of Generative Artificial Intelligence（Generative AI）has led to the explosive growth of Artificial Intelligence Generated Content（AIGC）, which inevitably cause people to be negatively affected by information overload, information noise, information security, and other related issues, making social information governance face new challenges. This paper aims to analyze and discuss the characteristic attributes of AIGC incidents, so as to provide a reference for Generative AI governance in China. [Design/Methodology] Based on AI Incident Database（AIID）and taking AIGC-related incident reports as samples for content analysis, the types, causes, damage objects and countermeasures of existing AIGC incidents were discussed. [Findings/Conclusion] The diversity of the objects affected by AIGC incidents, the wide distribution of the scope, and the complex unknown of the potential harm, result in the resources and capabilities of any single actor not being able to effectively deal with the crisis. It is necessary for actors of government, enterprises and society to form a governance participation model of "diversity + coordination + checks and balances", and to carry out information governance under the action framework of "context-consciousness-action". [Originality/Value] This paper introduces AIID as a case source database, provides an intuitive demonstration of the relevant details of existing AIGC incidents and forms a three-level category framework for AIGC incident analysis through content analysis.The action frame of Generative AI governance formed in this study is helpful to promote the exploration and practice of Generative AI governance from a macro perspective. Related Articles | Metrics | Comments（0）

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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 Abstract （823）      PDF（pc） （499KB）（7066）       Knowledge map    Save 舆论场；观点极化；舆论动力学；偏见；社交媒体 Related Articles | Metrics | Comments（0）

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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 Abstract （657）      PDF（pc） （331KB）（6921）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to systematically summarize and refine the research themes and directions of policy text from the perspective of content mining . It will benefit to grasp trend and promote innovation of policy text research. [Design/Methodology] Taking domestic and foreign research articles as samples, a systematic review was conducted to elaborate the research advances of policy texts, and the key points of follow-up development were looked forward on the basis of the assessment. [Findings/Conclusion] Driven by the research on policy quantification and informatics based on multidisciplinary integration, the computational science system of policy text research has gradually developed. Meanwhile,with the support of big data, deep learning and artificial intelligence, research on computing and sematic mining of policy text has been continuously deepened. And the research on text function comprehension and inference also rises further and has received more attention.The research system of policy text is supported on multiple levels by theory, methodology and technology. Research on its internal logic and social application will be strengthened. [Originality/Value] This paper summaries the advance of policy research on the level of text content and reveals the current themes and development directions of policy development directions.This will further enrich the theoretical and practical system of policy research. Related Articles | Metrics | Comments（0）

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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 Abstract （2953）      PDF（pc） （291KB）（6863）       Knowledge map    Save OpenAI has released a new generation of conversational language model: ChatGPT, showing natural, fluid conversation capabilities, reviving the promise of artificial general intelligence that was previously thought impossible. Large language models represented by ChatGPT are typical technological and application innovations in the era of digital intelligence. ChatGPT's powerful ability of information processing, collecting, integrating and generating brings challenges and opportunities to information resource management discipline.It has had a profound impact on the six perspectives of information resources management including supporting algorithms and technologies, information resources construction, information organization and information retrieval, information governance, content security and evaluation, and human-computer intelligent interaction and collaboration. In the era of digital intelligence, with the rapid development of large-scale AI models, it is necessary for us to keep close attention to this and promote the corresponding transformation of subject technology application paradigm, innovation of theories and methods, and governance reform, so as to further consolidate the foundation of information resources to support the "Four Orientations". Related Articles | Metrics | Comments（0）

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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 Abstract （1484）      PDF（pc） （402KB）（6787）       Knowledge map    Save [Purpose/Significance] A systematic review of data element market literature at home and abroad helps to deeply understand the structural composition and operational framework of data element market, grasp its key issues and main ideas, and reveal the current research progress and weaknesses, so as to provide theoretical and practical guidance for strengthening the construction of data element market in China. [Design/Methodology] Adopting the bibliometric analysis method and taking the literature related to the topic of data element market in Web of Science and CNKI as the analysis object, based on keyword co-occurrence and its temporal clustering, this paper analyzes the basic theory of data element market construction, operation mechanism and main viewpoints on the development of data trading institutions at home and abroad in conjunction with the text content. [Findings/Conclusion] Research shows that "data element market" is a hot issue of academic research at home and abroad, mainly focusing on the concept system of data elements, the core issues such as operation of the data element market and data trading platforms. Overall, the research is still in the exploratory stage of research, and there is no consensus on research involving data property rights, pricing, and regulation. The systematic and in-depth study of China's data element market still needs to be improved. [Originality/Value] This paper systematically sorts out the research progress of data element market at home and abroad, summarizes the research characteristics and development direction, which provides a reference for further research. Related Articles | Metrics | Comments（0）

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Media Presentation and Risk Management of Generative AI Within Traditional Culture Communication ZHANG Kui, WANG Xiuwei Documentation, Informaiton & Knowledge    2024, 41 (4): 98-109.   DOI: 10.13366/j.dik.2024.04.098 Abstract （935）      PDF（pc） （442KB）（6430）       Knowledge map    Save [Purpose/Significance] The emergence of Generative AI as a new media form, plays a dual impact on the reshaping the media structure and the social context of traditional cultural communication. Researching on media presentation and risk management of Generative AI holds significance in facilitating intelligent dissemination of traditional cultural, fostering digital humanities with distinct Chinese characteristics, and constructing modern Chinese civilization. [Design/Methodology] By using participatory observation and case analysis, combined with relevant theories of media science and semiotics, this study explores the application of Generative AI in the field of traditional cultural communication from three dimensions of media presentation, risk factors and risk governance. [Findings/Conclusion] Generative AI has a complex impact on the dissemination of traditional culture in media material, media interaction, media symbols, media time, media space and other aspects, and there are risks such as insufficient cultural accuracy, authenticity and completeness, cultural value conflicts and creativity reduction, cultural bias and inequality, infringement and excessive commercialization, etc. This requires the collaborative governance participated by multiple stakeholders such as regulatory agencies, service providers, cultural heritage units and users. [Originality/Value] This paper examines the theoretical rationale behind traditional cultural communication from the perspective of Generative AI, and proposes multi-party collaborative governance strategies for potential risks. Related Articles | Metrics | Comments（0）

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Constructing Content Framework for Artificial Intelligence Literacy Instruction in China from a Global Perspective HUANG Ruhua, SHI Leyi WU, Yingqiang CHEN, Tian Documentation, Informaiton & Knowledge    2024, 41 (3): 27-37.   DOI: 10.13366/j.dik.2024.03.027 Abstract （1023）      PDF（pc） （386KB）（6277）       Knowledge map    Save [Purpose/Significance] The aim of this study is to construct a more universal and novel content framework for artificial intelligence literacy（AIL）instruction. [Design/Methodology] We referenced globally influential AIL frameworks, reports from international organizations, international standards, policies of several leading countries（regions）, China's national strategic needs, employers' demands for AI talent, academic papers, trends from globally renowned enterprises, and the content of existing AIL education courses. Through this, the composition and basis of the AIL instruction content framework were analyzed. [Findings/Conclusion] The AIL instruction content framework in China is composed of four major parts: AI cognition, AI skills, AI application, and AI ethics. [Originality/Value] Unlike similar domestic achievements that mainly derive AIL frameworks from academic papers, this study integrates global academic data from multiple sources to construct an AIL instruction content framework that is both operational and valuable for practical guidance. Related Articles | Metrics | Comments（0）

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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 Abstract （2440）      PDF（pc） （687KB）（5806）       Knowledge map    Save [Purpose/Significance] Artificial Intelligence Generated Content（AIGC）is driving a paradigm shift in content creation under the trend of virtual reality integration. Exploring the application scenarios and development opportunities of AIGC in the digital intelligence integration environment will help promote the efficient empowerment of AI technology and the realization of the value of content ecology. [Design/Methodology] Focusing on the development history of AIGC, this paper systematically sorts out the conceptual connotation of AIGC from three perspectives: content development, concept analogy and technology development. Based on the characteristics of five application scenes: life scene, service scene, cultural and entertainment scene, technology scene and business scene,the interaction form and interaction mode of AIGC are explored. [Findings/Conclusion] The technical basis of AIGC is the renewal and iteration of digital technology, and the concept of construction is the expansion and gain of creation space, but its essential feature is the innovation and development of content ecology. On the whole, the development opportunities of AIGC are mainly reflected in three levels: content symbiosis based on group intelligence, capacity enhancement based on digital intelligence integration and value co-creation based on incremental market. [Originality/Value] With the breakthrough development of underlying technology and algorithm model, an enormous amount of content spawned by AI is spreading from assisting collaboration and reducing cost to intelligent creation and value-added creation, bringing new creative ideas to the content ecology under the digital intelligence logic. Related Articles | Metrics | Comments（0）

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Review of Data Mining Techniques’ Application in Medical and Healthcare Field DOCUMENTATION,INFORMATION & KNOWLEDGE    2018, 0 (5): 114-123.   DOI: 10.13366/j.dik.2018.05.114 Abstract （2948）      PDF（pc） （1114KB）（5704）       Knowledge map    Save Data mining and knowledge service in medical and healthcare field has become one of the core needs of the development of related industry. Data mining as the key technology of knowledge extraction has gained much attention in recent years. This paper first summarized common models and algorithms of data mining in the field of medicine and healthcare, and then reviewed the application status of this technology in three aspects, including assistance of completing medical tasks, scientific management of medical resources, and improvement of health information service. Meanwhile, this paper concluded the subdivided application areas, algorithms and representative publications. In addition, it also summarized the limitations and problems according to the data mining process. Finally, three future research directions have been put forward. Related Articles | Metrics | Comments（0）

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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 Abstract （1270）      PDF（pc） （785KB）（5685）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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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 Abstract （858）      PDF（pc） （566KB）（5515）       Knowledge map    Save [Purpose/Significance] The improvement of digital literacy and skills of senior citizens is significant for them to cross the digital divide. This study intends to investigate the practice of European digital literacy projects for senior citizens to provide some references for the development of digital literacy projects for senior citizens in China. [Design/Methodology] Through investigating and analyzing current digital literacy projects for senior citizens in Europe, 15 projects were selected as typical cases. The characteristics and practical experiences of projects were summarized in terms of training contents and forms. [Findings/Conclusion] Our analysis shows that there are several characteristics in European digital literacy projects for senior citizens, such as multi-level design of teaching content, focus on digital application scenarios, emphasis on Internet safety education, development of online teaching platforms, complete teaching materials, standardized teaching design, diversified teaching forms, and provision of aging-appropriate special services. Based on the European practical experience, our domestic digital literacy education for senior citizens needs to strengthen multi-institutional collaboration, strengthen the planning and design of education and teaching content oriented to the needs of senior citizens, enrich the teaching form of digital literacy education and explore the digital literacy education model for the elderly suitable for China's national conditions. [Originality/Value] The characteristics of digital literacy education for senior citizens in Europe summarized in this study from the aspects of training content and form will help optimize the process of digital literacy education for senior citizens and promote their digital literacy level. Related Articles | Metrics | Comments（0）

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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 Abstract （846）      PDF（pc） （727KB）（5281）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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Artificial Intelligence Literacy Education: Global Progress and Prospects ZHANG Jingbei, YU Chenlin, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 15-26.   DOI: 10.13366/j.dik.2024.03.015 Abstract （1207）      PDF（pc） （392KB）（5201）       Knowledge map    Save [Purpose/Significance] This paper aims to investigate and summarize the current status and trends of global AI literacy education for clarifying the present situation and deficiencies and propose strategies for optimizing the AI literacy education in universities. [Design/Methodology] The study explores the developmental trends of AI literacy education based on various research materials such as policy documents, conference records, and research papers released by international organizations and developed countries. It employs the Berry-picking model to analyze innovative initiatives in AI literacy education practices at 29 universities both domestically and internationally. [Findings/Conclusion] A clear boundary and interconnection exist between AI literacy education and AI education. The orientation of international policies plays a crucial role in promoting AI literacy education, yet there is a lack of a comprehensive framework for such education. In universities, the primary AI literacy education educators consist of colleges, learning development centers and libraries, with diverse forms to deliver educational content encompassing knowledge, skills, attitudes, and ethical values. To effectively conduct AI literacy education at universities, it is imperative to establish and optimize an educational framework, while leverage the key role of university libraries. This can be achieved through the implementation of diversified educational strategies, and the enrichment of educational content based on the KSAVE model. [Originality/Value] Based on the findings by providing insights into the international development trends of AI literacy education and analyzing current innovative practices implemented in universities, this paper proposes strategies for optimization AI literacy education, which provides valuable references and guidance for the promotion and implementation of AI literacy education in universities. Related Articles | Metrics | Comments（0）

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An Examination of AI Literacy Among University Students: Current Status and Multifaceted Influencing Factors ZHOU Qiong, XU Yaping, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 38-48.   DOI: 10.13366/j.dik.2024.03.038 Abstract （1488）      PDF（pc） （375KB）（4949）       Knowledge map    Save [Purpose/Significance] This study aims to delve into the current status of AI literacy among high education students and its correlation with practical application, attitude, interest, and other factors, explore the feasibility and measures for high education institutes to cultivate students' AI literacy in the era of AI, and provide empirical support and theoretical guidance for advancing AI literacy education. [Design/Methodology] Employing quantitative research approaches, this study conducts an analysis of the current AI literacy level among high education students and its correlation with their educational and training backgrounds, practical application experience, attitude, and interest through surveys and data analysis. This research design emphasizes the crucial role of practical experience in enhancing students' AI literacy level, and also examines the impact of factors such as educational backgrounds, disciplinary background, attitude, and interest on AI literacy from various perspectives. [Findings/Conclusion] In the digital era, practical experience plays a vital role in enhancing the AI literacy level of high education students. By actively engaging in the practical use of AI technologies or products, students can more effectively translate theoretical knowledge into practical skills and thereby comprehensively elevate their AI literacy level. Furthermore, there exists a positive correlation between students' positive attitudes, interests, and AI literacy. [Originality/Value] The study presents a targeted scale for assessing the AI literacy level of high education students and examines the factors influencing AI literacy. It lays the groundwork for future in-depth exploration of the correlation between practical application of AI and theoretical learning, as well as developing a tailored educational training framework. Related Articles | Metrics | Comments（0）

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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 Abstract （1106）      PDF（pc） （388KB）（4902）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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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 Abstract （1029）      PDF（pc） （688KB）（4710）       Knowledge map    Save [Purpose/Significance] In the process of human-AI interaction, chatbots can enhance the user experience by using stickers to express the social cues that text can't convey during human-AI conversations. This study aims to reveal the impact of the congruence of the emotional valence of the sticker and the text on users' social presences and social responses. It will improve the anthropomorphism of social robots and facilitate the widespread acceptance and application of robotic services in the future. [Design/Methodology] The study created a simulated human-AI interaction scenario, meanwhile conducted a controlled experiment in a 2（sticker valence: positive/negative）×2（text valence: positive/negative）within-subject design, in which 45 participants were recruited to complete four rounds of conversational tasks with chatbots and then measured their social presences and social responses of users in congruent group and incongruent group of emotional valence of the sticker and the text through questionnaires. [Findings/Conclusion] Compared with the incongruent group, participants in the congruent group experienced stronger social presences during human-AI interactions and performed more positive social responses. Specifically, they were more willing to accept the chatbot's advice as well as had higher trust, satisfaction, and intention to use them. [Originality/Value] It enhances the theoretical foundation of experience studying in human-AI interaction under visual-verbal multi-modal interfaces, makes methodological contributions for human-AI interaction design decisions, and provides practical guidance for the dialogue design of social robots. Related Articles | Metrics | Comments（0）

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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 Abstract （1682）      PDF（pc） （425KB）（4530）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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Research on the Model Construction of Multi-View-Data-Driven User Profile for Social Q&A Platform Document,Informaiton & Knowledge    2019, 0 (5): 64-72.   DOI: 10.13366/j.dik.2019.05.064 Abstract （816）      PDF（pc） （1081KB）（4457）       Knowledge map    Save ［Purpose/Significance］This study aims to explore the framework and methods of multi-view-data-driven user profile construction for social Q&A platform. It intends to provide a more comprehensive and more accurate understanding of users for service providers, which will help them improve the quality and accuracy of their services.［Design/Methodology］According to the characteristics of user data from social Q&A platform, the corresponding relationship between user data composition and user attribute extraction has been clarified from the perspectives of data mining and ontology. Then a multi-view-data-driven model of user profile construction for social Q&A platform has been proposed.［Findings/Conclusion］The model consists of four parts, which are user data acquisition, attribute sandbox construction, user profile implementation and user profile application. And the part of user profile implementation mainly involves two key steps, user profile generation and user profile update.［Originality/Value］The correspondence between multiview user data and users has been established, and the framework and methods of user profile construction for social Q&A platform have been expounded. Related Articles | Metrics | Comments（0）

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The Underlying Mechanism of Knowledge Adoption Intention of Short-Form Videos Concerning the Challenge-Skill Balance Feature in the Vision of Flow Theory WANG Yanyan, ZHANG Lei Documentation, Informaiton & Knowledge    2024, 41 (1): 12-24.   DOI: 10.13366/j.dik.2024.01.012 Abstract （477）      PDF（pc） （457KB）（4357）       Knowledge map    Save [Purpose/Significance] Knowledge-based short-form videos have been widely used by the general public. This study aims to explore the mechanism of knowledge adoption intention of short-form videos in the vision of flow theory. [Design/Methodology] Based on flow theory and Information Adoption Model, this study designed controlled experiments, collected data via questionnaire, and explored the mechanism of knowledge adoption intention by PLS-SEM. [Findings/Conclusion] The flow experience positively influences the perceived usefulness and knowledge adoption intention directly, negatively moderates the positive influence of video quality on perceived usefulness, and positively moderates the positive influence of perceived usefulness on knowledge adoption intention. In the high skill state and high flow state, users' knowledge adoption intention is influenced by both the information content path and the flow experience path and in the high challenge state, it is only influenced by the information content path. [Originality/Value] This study applies flow theory to the study on users' knowledge adoption intention when watching short-form videos, and proposes a short-form video knowledge adoption intention generation model. Also, the complex relationships between the flow experience, knowledge adoption and image cognition are discovered in this study. Related Articles | Metrics | Comments（0）

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Narrowed Information Universe: A Review of Research on Information Cocoons, Selective Exposure, and Echo Chambers Documentation, Informaiton & Knowledge    2021, 38 (5): 134-144.   DOI: 10.13366/j.dik.2021.05.134 Abstract （2006）      PDF（pc） （1219KB）（4354）       Knowledge map    Save ［Purpose/Significance］Information cocoons and echo chambers are both connected with humans’inherent tendency to approach what they like and/or avoid what they dislike. For lack of exposure to the heterogeneous information from the outside, one’s information horizon becomes more and more limited, which in turn reinforces his or her selective information behavior. This study aims to reveal the status quo of existing related research and identify future research trends.［Design/Methodology］This study originally attempted to conduct a systematic review on the existing studies of information cocoons and echo chambers, respectively. However, there existed no empirical research on the former. Hence, this study instead surveyed the literature on selective exposure for its high relevance to information cocoons.［Findings/Conclusion］Selective exposure studies, basically driven by the social issues pertinent to the two dominating topics,i.e., politics and health; echo chambers studies identified various echo chambers, such as political, science/conspiracy, health, policy, scholarly echo chambers, while a minority of the studies doubted the existence of echo chambers. Information cocoons, selective exposure, and echo chambers all refer to the overall behavior patterns of dispositional selection. The existing related studies were limited to the cognition dimension of human attitudes when examining the influence of attitudes on information selection while neglecting the affect and conation dimensions; and they failed to distinguish between single behavior occurrences and overall behavior patterns which is not helpful to the change of overall behavior patterns.［Originality/Value］This study contributes a compressive overview of the literature on information cocoons, selective exposure, and echo chambers. The meaning and relationships among the three concepts were clarified, which led to the new concept of "narrowed information universe" that emphasizes the behavioral patterns of selective approach/avoidance in information acquisition. Useful implications were engendered for the future research on the narrowed information universe. Related Articles | Metrics | Comments（0）

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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 Abstract （787）      PDF（pc） （1817KB）（4309）       Knowledge map    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. Related Articles | Metrics | Comments（0）

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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 Abstract （889）      PDF（pc） （430KB）（4146）       Knowledge map    Save [Purpose/Significance] Digital inclusion has become an important topic in the study of digital governance.This paper reviews the English literature on digital inclusion to provide a reference for domestic research and practice. [Design/Methodology] In this paper, 106 relevant English literatures were retrieved in the Web of Science database from 2010 to January 1,2022.Through integrating and evaluating these literatures by content analysis method, the distribution of research topics and shortcomings of these research were revealed and the future research direction was proposed. [Findings/Conclusion] The research topics of digital inclusion in English literature focus on the connotation, the influencing factors, the content and effect of practice, as well as the reflection and improvement of practice. There are some problems in the existing researches, such as oversimplified connotation, vague mechanism of occurrence, lack of effect research and insufficient operable improvement path. It is suggested that domestic research should strengthen the theoretical and empirical research on digital inclusion based on local reality from a multidisciplinary perspective. [Originality/Value] A relatively complete knowledge system of digital inclusion is proposed in this paper, providing references for the study and practice in the field of digital inclusion in China. Related Articles | Metrics | Comments（0）

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Have You Been to Xiaohongshu Today? Topic Extraction and Motivation Analysis of User Information Sharing in Online Communities LIU Yang, DUAN Yujie, ZHANG Xin, DONG Yifei, HU Xiuying Documentation, Informaiton & Knowledge    2024, 41 (4): 110-120,145.   DOI: 10.13366/j.dik.2024.04.110 Abstract （977）      PDF（pc） （888KB）（4054）       Knowledge map    Save [Purpose/Significance] This study aims to quantitatively analyze the themes of user-generated content on the Xiaohongshu platform, with the goal of improving the content quality of social media platforms and promoting their healthy development. [Design/Methodology] Based upon the Censydiam motivation analysis model, this study utilizes the BERTopic topic extraction method to construct a framework for researching the themes and motivations behind information sharing in online communities. The study focuses on the Xiaohongshu platform, collecting 3,688,942 pieces of user-generated content to analyze the users' motivations behind information sharing across different themes. [Findings/Conclusion] The themes of information sharing by Xiaohongshu users primarily encompass life experiences, shopping, and food. By precisely pinpointing these themes using the Censydiam model, the study reveals that users' primary needs include a sense of belonging and identification with social groups, social integration and communication, as well as seeking enjoyment and relaxation. Therefore, the platform should place greater emphasis on maintaining alignment with the overall social media environment and ensuring a consistent social tone to reflect care for the user community and enhance their sense of belonging. [Originality/Value] This study is based on textual data from the Xiaohongshu online community, verifying the feasibility of the research framework and offering new insights and methods for the analysis and development of online communities. Related Articles | Metrics | Comments（0）