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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 （2884）      PDF（pc） （465KB）（3901）       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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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 （1230）      PDF（pc） （425KB）（2216）       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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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 （2413）      PDF（pc） （2194KB）（2042）       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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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 （1270）      PDF（pc） （291KB）（1901）       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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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 （1267）      PDF（pc） （687KB）（1582）       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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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 （1075）      PDF（pc） （1219KB）（1272）       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 Paradigm and Platform Construction of Digital Humanities Documentation, Informaiton & Knowledge    2022, 39 (1): 6-29.   DOI: 10.13366/j.dik.2022.01.006 Abstract （726）      PDF（pc） （1402KB）（1235）       Knowledge map    Save [Purpose/Significance] Digital humanities platform, as an component of infrastructure which provides study materials for humanities scholars in various disciplines, is the carrier of digital research methods. It can contribute to the enrichment of digital humanities methodological system and the establishment of a new research paradigm of digital humanities. [Design/Methodology] This paper investigated the characteristics of digital humanities, and proposed a paradigmatic framework for humanities research.With the consideration of the projects and papers presented in domestic digital humanities annual meetings, the construction of the Chinese digital humanities resource platforms was discussed, which emphasized the functional requirements and development trends. Finally, by taking the Digital Humanities Platform of Shanghai Library as an example, applications of the thoughts and ideas were illustrated. [Findings/Conclusion] The digital humanities platform is divided into literature layer, data layer, interface layer, tool layer and presentation layer. According to the methodological characteristics of Chinese digital humanities, this paper summarizes different types of platforms. It also puts forward some design principles on how digital humanities platforms can have advanced systems, complete resources, comprehensive functions, abundant tools and user-friendliness. [Originality/Value] This paper proposes a research paradigm of digital humanities consisting of technology, process and behavior. In the digital humanities platforms, the combination of the three aspects with humanities resources are the basic components of the digital humanities research infrastructure. In addition to the focus on the technical architecture, it is also necessary toextract the content architecture featured by domain knowledge specially for design and implementation. Besides, the best practices of implementation with semantic technology（knowledge graph）have been discussed. 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 （614）      PDF（pc） （785KB）（1151）       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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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 （809）      PDF（pc） （1808KB）（1118）       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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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 （458）      PDF（pc） （497KB）（972）       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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Can Social Media Use Improve the Elderly Subjective Wellbeing： A Survey Based on the Active Aging Background Documentation, Informaiton & Knowledge    2021, 38 (5): 77-94.   DOI: 10.13366/j.dik.2021.05.077 Abstract （998）      PDF（pc） （4458KB）（969）       Knowledge map    Save ［Purpose/Significance］This study takes the elderly group as the research object and conducts a sample survey in Shanghai, which aims to explore the influence of social media use on the elderly subjective well-being and provide reference for relevant sectors to improve services for the elderly.［Design/Methodology］Based on a literature research, the study group firstly determined the multi-dimensional indicators those could affect the elderly subjective well-being by using WeChat and Douyin as the representative social media. Then a pre-test was developed by convenient sampling method, and the initial scale was improved and optimized according to the pre-test results. Finally, a conversational questionnaire was carried out for data analysis and interpretation.［Findings/Conclusion］This study extracts two dimensions of the social media use influence on the elderly subjective well-being: positive emotion and life satisfaction. And the multiple regression model shows that: (i) The elderly positive emotion of social media use is significantly positively correlated with age and social behavior; (ii) The elderly life satisfaction due to the social media use is significantly correlated with age, monthly disposable income, education level, social behavior and information behavior; (iii) Expectation has a significant moderating effect on the positive emotions of the elderly subjective well-being affected by social media information behavior. ［Originality/Value］This study explores a multi-dimensional structure of social media use affecting the elderly subjective well-being, specific indicators and the moderating effect of expectation on them, which is of certain academic value and reflects the academic care for the vulnerable groups. It is of particular practical significance for today’s China since the society is accelerating towards deep aging. It also brings new inspirations for us to scientifically guide the elderly viewpoints of social media and promote active aging. 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 （521）      PDF（pc） （431KB）（832）       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 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 （507）      PDF（pc） （449KB）（788）       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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Metaverse and Smart Library: A New Path of Empowering Culture Through Science and Technology Documentation, Informaiton & Knowledge    2022, 39 (6): 6-16.   DOI: 10.13366/j.dik.2022.06.006 Abstract （282）      PDF（pc） （397KB）（753）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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The High Quality Development for Information Resources Management in the New Era: The Minutes of the Forum on the Development of Information Resources Management in China（2023） HU Zhiwei, LI Yang, KANG Lele, PEI Lei Documentation, Informaiton & Knowledge    2023, 40 (5): 6-15.   DOI: 10.13366/j.dik.2023.05.006 Abstract （225）      PDF（pc） （487KB）（715）       Knowledge map    Save 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 （512）      PDF（pc） （530KB）（707）       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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Minutes of the Forum on Artificial Intelligence in Information Management Documentation, Informaiton & Knowledge    2022, 39 (6): 17-19.   DOI: 10.13366/j.dik.2022.06.017 Abstract （198）      PDF（pc） （188KB）（706）       Knowledge map    Save 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 （501）      PDF（pc） （688KB）（693）       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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The Influencing Factors of Young Users' Willingness to Use Online Emoticons Documentation, Informaiton & Knowledge    2022, 39 (2): 6-19.   DOI: 10.13366/j.dik.2022.02.006 Abstract （443）      PDF（pc） （873KB）（631）       Knowledge map    Save  [Purpose/Significance] This paper carried out a research on influencing factors that affect the willingness of young users to use online emoticons from the perspective of user experience, which provides references and suggestions on optimizing the user experience of using online emoticons and promoting the healthy development of online emoticons. [Design/Methodology] Combined S-O-R model with semi-structured interviews results, a theoretical model that describes the factors influencing young users' willingness to use online emoticons has been constructed, 387 valid questionnaires have been collected by questionnaire method, and data analysis and hypothesis testing are carried out by using SmartPLS 3.0 software. [Findings / Conclusion]There are differences in the effects of different dimensions of emoticons characteristics （visual attraction, content presentation, and information interpretation） and usage contexts （interaction platform, interaction object, and interaction scene） on flow experience and social presence; flow experience and social presence have significant and positive influence on users' willingness to use online emoticons, and play an important mediating role in the process where emoticon characteristics and usage contexts influence users' willingness to use online emoticons. [Originality/Value]This paper uses a combination of semi-structured interviews and structural equation model to investigate the factors influencing young users' willingness to use online emoticons, which not only enriches the literature related to users' online emoticon use behavior, but also provides new ideas to explore the issue of users' willingness to use. Related Articles | Metrics | Comments（0）

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Predictive Algorithms and Social Equity: A Perspective from Access to “Opportunity Information” Documentation, Informaiton & Knowledge    2022, 39 (3): 116-124.   DOI: 10.13366/j.dik.2022.03.116 Abstract （273）      PDF（pc） （361KB）（630）       Knowledge map    Save [Purpose/Significance] In order to provide advice on the legal protection of the fundamental rights of data subjects, this study analyzes and discusses access to "opportunity information"（such as employment opportunities, educational opportunities,etc.）that significantly impact individual rights. [Design/Methodology] Taking Facebook’s "nano-targeting" advertisements as an example, combined with the operation mode of online recruitment, this paper explains how predictive algorithms control access to opportunity information, especially employment information, which may exacerbate or even worsen existing patterns of inequality, and undermine social fairness and justice. [Findings/Conclusion] The results show that when an Internet platform service provider designs a positioning algorithm to determine which advertisements are served to whom, the provider has surpassed its role as a network service provider and has become a network content provider, and should be held responsible for this impact. [Originality/Value] The concept of "opportunity information" is proposed and defined in this paper, which provides a new perspective for clarifying the fairness of algorithms. 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 （349）      PDF（pc） （566KB）（622）       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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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 （239）      PDF（pc） （499KB）（615）       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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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 （307）      PDF（pc） （1817KB）（591）       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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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 （430）      PDF（pc） （509KB）（579）       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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Study on Big Knowledge Graph of Cultural Heritage Based on the Perspective of  Knowledge Association: Theories, Methods and Trends Documentation, Informaiton & Knowledge    2022, 39 (2): 133-143.   DOI: 10.13366/j.dik.2022.02.133 Abstract （257）      PDF（pc） （766KB）（566）       Knowledge map    Save [Purpose/Significance] As a new interdisciplinary field of humanity and technology, the research on big knowledge graph of cultural heritage associated and integrated cultural heritage resources,which applied the intelligent theories and methods is the key to the "living" of cultural heritage and is of great significance to the inheritance and development of Chinese excellent traditional culture. [Research design / Method] From the perspective of knowledge association, applied  the methods of literature analysis and expert investigation, this paper had systematically surveyed the current theories and methods for big knowledge graph of cultural heritage, constructed the theoretical framework and method system for research on big knowledge graph of cultural heritage, and analyzed the future research trend. [Conclusion / Discovery] To promote the research on big knowledge graph of cultural heritage, it is crucial that the knowledge association should be taken as the foundation, the cultural genes is taken as the core, the integration and innovation of interdisciplinary theories should be strengthened, a knowledge-driven method system should be built further combined with new technologies such as brain computer integration and metaverse.[Innovation / Value] It is the innovation point that the theoretical framework, method system and research trend for big knowledge graph of cultural heritage from the perspective of knowledge association had been put forwarded. Related Articles | Metrics | Comments（0）

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Technical Principles and Process Innovations of Generative Intelligent Publishing ZHANG Xinxin, DING Jingjia Documentation, Informaiton & Knowledge    2023, 40 (5): 68-76.   DOI: 10.13366/j.dik.2023.05.068 Abstract （197）      PDF（pc） （398KB）（544）       Knowledge map    Save [Purpose/Significance] This study aims to explore how generative artificial intelligence（AI）technology empowers the publishing industry to form the principles and process innovations of generative intelligent publishing. Based on the categorical structure of analytical intelligent publishing and generative intelligent publishing, this study investigates the issues of process innovations of generative intelligent publishing in four aspects of content production, content review, intelligent printing, and intelligent marketing. [Design/Methodology] From the perspective of ChatGPT, this study analyzes the ontological attribute definitions of ChatGPT in three aspects: generative AI, cognitive intelligence, and artificial general intelligence.It reveals three key technical principles: massive data advantage, reinforcement learning algorithm advantage, and continuous supercomputing power advantage. Finally, it discusses the process innovations of intelligent publishing based on generative AI. [Findings/Conclusion] The implications of generative AI in the publishing process innovations include the transition from professional generated content to AI generated content, the transition from manual editing to human-machine collaborative intelligent editing, to innovations in printing scenarios such as on-demand printing and intelligent printing factories based on generative AI, and to changes in marketing data, capabilities, efficiency and quality based on generative AI. [Originality/Value] This paper defines the ontological results of generative AI, cognitive intelligence and artificial general intelligence stages for the products of optimizing language models for dialogue represented by ChatGPT. It proposes new characteristics, new laws and new ideas for generative intelligent publishing in the stages of planning, editing, printing and distribution and expands the research scope of digital publishing and intelligent publishing to some extent. Related Articles | Metrics | Comments（0）

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The Meeting Minutes of China Information Science Annual Meeting & Information Science and Service Development Forum(2020) Documentation, Informaiton & Knowledge    2021, 38 (4): 146-156.   DOI: 10.13366/j.dik.2021.04.146 Abstract （177）      PDF（pc） （709KB）（521）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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The Features, Theoretical Framework and Research Prospects of AI-enabled Surrogate Information Searching: A Sociotechnical System Paradigm SONG Xiaokang, ZHAO Yuxiang, SONG Shijie, ZHU Qinghua Documentation, Informaiton & Knowledge    2023, 40 (4): 111-121.   DOI: 10.13366/j.dik.2023.04.111 Abstract （274）      PDF（pc） （404KB）（514）       Knowledge map    Save [Purpose/Significance] ChatGPT is an application upgrade of AI generated content（AIGC）, which can act as a social actor to help users search for and generate their required information. This paper aims to summarize and prospect the features and theoretical framework of AI-enabled surrogate information searching. [Design/Methodology] Firstly, by combing the development process of surrogate information searching, this paper analyzes the connotation and characteristics of AI-enabled surrogate information searching. Then, based on the paradigm of sociotechnical system,we explore the theoretical framework of AI-enabled surrogate information searching. [Findings/Conclusion] It is found that the AI-enabled surrogate information searching is based on a ternary relationship group of "information demanders - AI algorithms - online information resources", which achieves the acquisition, integration, and presentation of informationthrough human-AI collaboration.This paper constructs a theoretical framework of AI-enabled surrogate information searching from four aspects: technology, information, users, and social culture. It also points out that the possible future research directions include trust and information credibility research, user adoption and user experience research, application research under the scenarios of information services and knowledge supply, and user algorithm literacy education research,etc. [Originality/Value] The research on AI-enabled surrogate information searching can help enrich the theory of user information behavior and information services in the era of digital intelligence and provide reference for future research and practice. Related Articles | Metrics | Comments（0）

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The Method Framework for Data-driven Information Analysis Towards Industrial Technology Documentation, Informaiton & Knowledge    2022, 39 (1): 73-83.   DOI: 10.13366/j.dik.2022.01.073 Abstract （298）      PDF（pc） （599KB）（510）       Knowledge map    Save [Purpose/Significance] The Data-driven information analysis of industrial technology is the frontier of science and technology in the wave of data strategy. This paper aims to improve the existing method system of industrial technology information analysis and enhance its development through fusion with new algorithms. [Design/Methodology] This study concluded current methods of industrial technology information analysis and illustrated their research characteristics.It also suggested a transformation of traditional information analysis method and proposed to build a schema for data-driven information analysis of industrial technology. Then it developed a core method framework for industrial technology information analysis. [Findings/Conclusion] Orienting to the six aspects of industrial technology information analysis, aiming at the four tasks of identification, prediction, evaluation and early-warning, this paper constructs an information analysis method framework consisting of text mining, graph mining and image mining. [Originality/Value] This paper constructs a three-dimensional information analysis method framework of industrial technology, which is driven by text data, network data and image data. It also concludes the information analysis modes of three kinds of unstructured data, which are text mining, graph mining and image mining. 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 （579）      PDF（pc） （567KB）（507）       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）