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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 （4270）      PDF（pc） （465KB）（7380）       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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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 （869）      PDF（pc） （530KB）（5510）       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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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 （772）      PDF（pc） （431KB）（4951）       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 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 （2365）      PDF（pc） （291KB）（4161）       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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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 （705）      PDF（pc） （509KB）（3670）       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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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 （2497）      PDF（pc） （1114KB）（3632）       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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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 （857）      PDF（pc） （402KB）（3404）       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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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 （442）      PDF（pc） （499KB）（3040）       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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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 （1430）      PDF（pc） （425KB）（2974）       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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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 （1339）      PDF（pc） （1808KB）（2847）       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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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 （532）      PDF（pc） （727KB）（2842）       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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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 （1868）      PDF（pc） （687KB）（2794）       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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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 （687）      PDF（pc） （388KB）（2576）       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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Exploring the Innovation and Promotion Models of Domestic Games in the Context of Culture-tourism Integration: A Case Study of Genshin Impact Documentation, Informaiton & Knowledge    2021, 38 (5): 107-118.   DOI: 10.13366/j.dik.2021.05.107 Abstract （2895）      PDF（pc） （2194KB）（2537）       Knowledge map    Save ［Purpose/Significance］This article explores the penetration and driver of culture-toursim integration on the innovation and promotion of games in China, and analyzes the positive effects of the deep integration of games, culture and tourism.［Design/Methodology］This study employed the open-world adventure role-playing game Genshin Impact as an example. An open coding analysis was conducted on the primary interview data and the secondary data such as videos and news. Eventually, the "high fidelity" elements of culture-tourism integration in open world games were identified so as to exploit the deep integration directions of games with culture and tourism in the future.［Findings/Conclusion］Driven by the integration of culture and tourism, excellent traditional culture and rich natural and human landscapes are assimilated into the planning and design of open world games, which could enhance the sense of presence, immersion, and players’ engagement. As a flexible form of cultural output, games with "high fidelity" culture and tourism elements affect overseas players’perceptions of Chinese traditional culture through the inadvertent, high-participation, strong penetrating, and experiential interaction model, which could improve the output of Chinese culture as part of our soft power.［Originality/Value］In the context of culture and tourism integration, this article explores new models of domestic games’ innovation and promotion. It can shed lights on providing implications for promoting cross-border cooperation of the game industry, as well as model innovation and sustainable development of the curlture and tourism industry. 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 （445）      PDF（pc） （331KB）（2479）       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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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 （521）      PDF（pc） （1081KB）（2464）       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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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 （908）      PDF（pc） （785KB）（2440）       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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Review of Image Sentiment Analysis Document,Informaiton & Knowledge    2020, 0 (3): 119-127.   DOI: 10.13366/j.dik.2020.03.119 Abstract （1942）      PDF（pc） （1552KB）（2390）       Knowledge map    Save ［Purpose/Significance］Image-based sentiment analysis has gradually become a potential research hotspot. This paper intends to make a summary on the history and current situation of image sentiment analysis, which could be beneficial to promote relevant research.［Design/Methodology］This paper reviewed and offered comments on the technical methods of image sentiment analysis from two dimensions including the traditional image sentiment analysis method and the deep learning method.［Findings/Conclusion］It has been found that with the refinement of image sentiment analysis granularity, the further research will focus on the optimization of deep learning algorithm and annotation. At the same time, accelerating the opening process of sentiment labelled data-sets could help researchers to do further research in this field.［Originality/Value］This paper conducts an in-depth summary on the emphasis and development direction of image sentiment analysis, which could provide some reference for further research in this field. 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 （889）      PDF（pc） （449KB）（2330）       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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DOCUMENTATION,INFORMATION & KNOWLEDGE    2014, 0 (1): 121-127.   Abstract （1402）      PDF（pc） （5603KB）（2229）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Interdisciplinary Patterns of Humanities and Social Sciences in China DOCUMENTATION,INFORMATION & KNOWLEDGE    2018, 0 (6): 37-49.   DOI: 10.13366/j.dik.2018.06.037 Abstract （677）      PDF（pc） （1890KB）（2135）       Knowledge map    Save In order to explore the interdisciplinary patterns and the evolution laws of humanities and social sciences in China, the bibliography of papers relating to twentythree disciplines between 1999 and 2009 were downloaded from Chinese Social Sciences Citation Index(CSSCI), including their references and citing articles.Reference Diversity Index(RDI), Selfcitation Index (SCI) and Citation Diversity Index(CDI) were used to measure the degree of interdisciplinarity from the perspectives of knowledge input, knowledge internalization and knowledge output respectively.The interdisciplinary patterns and its evolution laws were identified with Kmeans algorithm. It has been indicated that there are generally four types of interdisciplinary patterns, namely “cohesive pattern”, “convergent pattern”, “balanced pattern” and “open pattern”. Furthermore, two special interdisciplinary patterns which are “skew pattern” and “developmental pattern” have been captured in the analysis over years. Four types of evolution patterns, including “lowsteady mode”, “highsteady mode”, “drastically fluctuating” and “balanced fluctuating” have been discovered as the result of clustering analysis. As an application of interdisciplinary pattern research, this paper finally discussed the significance for discipline construction and development. Related Articles | Metrics | Comments（0）

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Research on High-impact User Profile of Social Media Based on Multi-dimensional Attribute Fusion Document,Informaiton & Knowledge    2019, 0 (5): 73-79.   DOI: 10.13366/j.dik.2019.05.073 Abstract （784）      PDF（pc） （4152KB）（2132）       Knowledge map    Save ［Purpose/Significance］High-impact users of social media hold the features of unique content capabilities, charismatic personality, potential energy values and efficient network traffic monetizing capabilities. It is crucial to construct highimpact user profile and visualize the typical characteristics of group members so as to expand the radiation of excellent online culture and provide accurate services for platforms, maintain core users, as well as supervise and guide public opinion. ［Design/Methodology］According to the Super IP theory, the high-impact users were analyzed from four aspects, including personality, content, online traffic and trust mechanism. The label system was built upon users’ fundamental attributes, behavior attributes and value attributes in order to construct a conceptual model for the user profile. Taking high-impact users’ data from the platform of Weibo as a sample, K-means clustering algorithm was used to conduct user classification. ［Findings/Conclusion］The experimental results show that the highimpact users of Weibo can be segmented into three groups. The typical portraits of different high-impact users have been obtained based on the prototypical representatives of cluster centers. According to the characteristics of key groups, public opinion supervision, individualized services and social marketing strategies are proposed for the corresponding platforms. ［Originality/Value］The Super IP theory is combined with high-impact users’ characteristics of social media to build portraits for high-impact users, as well as provide new methods and perspectives for the online public opinion supervision and social media platform operation and development. 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 （1570）      PDF（pc） （1219KB）（2115）       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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Does Knowledge Payment Help Alleviate Knowledge Anxiety? Empirical Evidence from a Mixed Study Documentation, Informaiton & Knowledge    2022, 39 (3): 103-115.   DOI: 10.13366/j.dik.2022.03.103 Abstract （616）      PDF（pc） （497KB）（2009）       Knowledge map    Save [Purpose/Significance] Drawing on Expectation Confirmation Theory（ECT） and related theories of knowledge acquisition, the study aims at exploring whether and how knowledge payment can alleviate users' knowledge anxiety, which helps to understand the user's psychology for knowledge payment and optimize the design of knowledge products. [Design/Methodology] The mixed-method was adopted. Firstly, we used an in-depth interview to build a theoretical framework depicting the relationship between the use of online knowledge products and their anxiety alleviating. Then, we conducted a questionnaire survey to examine the impact of the use of online knowledge products on users' anxiety alleviating and its underlying mechanism. [Findings/Conclusion] The main findings are:（1）The degree of expectation confirmation is the logical starting point to understand whether knowledge payment can alleviate knowledge anxiety;（2）The relief of knowledge anxiety depends on both the confirmation of expectation and individuals' continuous efforts;（3）The current knowledge payment products are more suitable for users with low or middle thirst for knowledge to alleviate knowledge anxiety. [Originality/Value] Theoretically, the study proposed a conceptual model of knowledge payment and knowledge anxiety relief,then verified the conditions of knowledge payment to relieve knowledge anxiety. Practically, the results provided insightful information for users to make decision in purchasing and form strategies for knowledge paid product,and for product developers to maintain the sustainable development of the products. Related Articles | Metrics | Comments（0）

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Retrospective Analysis and Prediction: Artificial Intelligence and Its Applications in Libraries DOCUMENTATION,INFORMATION & KNOWLEDGE    2018, 0 (2): 50-60.   DOI: 10.13366/j.dik.2018.02.050 Abstract （2793）      PDF（pc） （722KB）（1909）       Knowledge map    Save The  application of artificial intelligence (AI) has brought innovation to basic science research and industry in recently years. This paper briefly reviews and analyzes the research and development of artificial intelligence technologies such as expert systems, natural language processing, pattern recognition, robotics and machine learning in the fields of library information retrieval, reference service, cataloging, classification, acquisitions, circulation and automation. By analyzing the papers published on both domestic and international journals, studying the practices of latest AI applications in industry, this paper finds that the current AI applications in the library are still in the narrow AI or weak AI/machine learning phase. However, the emerging technology of face recognition, arranging and organizing book shelves by robots, natural language processing based on machine learning, chat robot based on artificial neural networks are making library more automatic. Especially, this paper looks into the possibilities of applying general AI or strong AI technologies into the retrieval system of libraries. Related Articles | Metrics | Comments（0）

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Survey Report on the Development Status of Undergraduate Degree Education in Big Data Management and Application（2023） DENG Shengli, WANG Fan, XIA Sudi Documentation, Informaiton & Knowledge    2024, 41 (1): 69-79,101.   DOI: 10.13366/j.dik.2024.01.069 Abstract （306）      PDF（pc） （646KB）（1884）       Knowledge map    Save [Purpose/Significance] This paper conducts a nationwide survey on the development status of undergraduate education of Big Data Management and Applications, with the aim of reflecting its development trends and proposing corresponding suggestions. [Design/Methodology] This study systematically dissected the current situation of the undergraduate education of Big Data Management and Applications in China from six dimensions, including institutions, faculty, enrollment, employment, curriculum system, and training objectives, and reflected the development trends of this major by comparing with previous years. [Findings/Conclusion] As of December 2022, the number of institutions offering this major has reached 183. Most institutions adjust their teaching according to social demands and their own positioning, gradually form their own characteristics while emphasizing professional practice. In addition, the curriculum system of most training institutions do not fully match the training objectives, and courses on big data management and big data applications need to be added. [Originality/Value] This study provides a comprehensive and in-depth analysis of the undergraduate programs in Big Data Management and Applications across the country, reflecting the current development status and existing issues of this major. It serves as a valuable reference for the sustainable development of such specialties. Related Articles | Metrics | 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 （725）      PDF（pc） （688KB）（1840）       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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A Review of Network Public Opinion for Unexpected Emergency DOCUMENTATION,INFORMATION & KNOWLEDGE    2014, 0 (2): 111-119.   DOI: 10.13366/j.dik.2014.02.111 Abstract （2521）      PDF（pc） （2472KB）（1829）       Knowledge map    Save This paper gives a detail explanation about the emergency network opinion research. The current researches are mainly focused on the concept, feature, influencing factors, lifecycle, control mechanisms, technology and system for network public opinion of emergency. The problems and challenges exist in emergency network opinion research are as follows: theory and practice integration needs, lack of quantitative analysis of the system and framework, not deep enough of microlevel analysis, lack of Internet social structure and group behavior research, promising uses of visual display and monitoring techniques. Related Articles | Metrics | Comments（0）

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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 Abstract （851）      PDF（pc） （567KB）（1828）       Knowledge map    Save [Purpose/Significance] The advent of the algorithmic society has put forward new goals for individual development, while algorithmic literacy helps to enhance the ability of individuals to interact with algorithms, open up new paths for individuals to enhance algorithmic cognition and skills, cope with algorithmic social risks, and the source governance of algorithms. In view of the limitations of algorithmic literacy concept in current studies, the connotation and elements of algorithm literacy need to be further discussed. [Design/Methodology] Based on the theory of "human-centered AI" and the framework of Key Competencies focusing on individual development, this paper defines the connotation and elements of algorithmic literacy from the perspective of multiple stakeholders. [Findings/Conclusion] Algorithmic literacy consists of three dimensions: thinking level, attitude level and knowledge level that individuals interact with algorithms, and the components of three dimensions differ depending on the target stakeholders such as algorithm producers, algorithm users and algorithm regulators. The future research related to algorithmic literacy can be deepened in three directions: theoretical research, literacy cultivation and algorithmic governance. [Originality/Value] Based on the perspective of multiple stakeholders, this study initially explores the connotation of algorithmic literacy and proposes a framework of algorithmic literacy elements consisting of thinking, attitude and knowledge for multiple stakeholders such as algorithm producers, algorithm users and algorithm regulators, which provides guidelines for promoting future algorithmic literacy research, accelerating algorithmic literacy improvement and assisting algorithmic governance. Related Articles | Metrics | Comments（0）

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Market Mechanism of Online Knowledge Paying Platform: Countermeasure and Intervention to the Failure of Knowledge Platform Market Mechanism DOCUMENTATION,INFORMATION & KNOWLEDGE    2018, 0 (4): 24-31.   DOI: 10.13366/j.dik.2018.04.024 Abstract （834）      PDF（pc） （969KB）（1787）       Knowledge map    Save Based on practical situation and study limitation of online knowledge paying platform in China，this paper points out the essence of online knowledge paying platform in the Internet environment is knowledge resources allocation mechanism. By comparing with other allocation mechanisms, this paper developed a multisupply structure of knowledge service, and a research approach to knowledge platform with market mechanism. The marketoriented online knowledge paying platform shows obvious differences from traditional platform, and carries market defects. Finally this study discusses countermeasure and intervention to the failure of knowledge platform market mechanism. Related Articles | Metrics | Comments（0）