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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 （2932）      PDF（pc） （465KB）（4003）       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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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 （2434）      PDF（pc） （2194KB）（2061）       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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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 （1295）      PDF（pc） （687KB）（1627）       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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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 （1291）      PDF（pc） （291KB）（1959）       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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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 （1236）      PDF（pc） （425KB）（2224）       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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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 （1086）      PDF（pc） （1219KB）（1284）       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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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 （1001）      PDF（pc） （4458KB）（987）       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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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 （817）      PDF（pc） （1808KB）（1141）       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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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 （727）      PDF（pc） （1402KB）（1239）       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 （617）      PDF（pc） （785KB）（1188）       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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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 （587）      PDF（pc） （567KB）（518）       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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Data Diversity: Emergence, Concept and Application Documentation, Informaiton & Knowledge    2022, 39 (2): 122-132.   DOI: 10.13366/j.dik.2022.02.122 Abstract （537）      PDF（pc） （2198KB）（400）       Knowledge map    Save [Purpose/Significance] Research on the background, concept, representation and application of data diversity can provide support for the effective data management and governance. [Design/Methodology] The representations of data diversity is summarized mainly by the observation method and inductive method, the concrete data diversity contained in specific applications is illustrated by phenomenological interpretation method. [Findings/Conclusion] It is found that data diversity is the richness & difference of information carried by data and the complexity and variability of types, dimensions, formats, versions, and forms of data. Data diversity has three forms of representations each inside and outside. Data diversity requires subject diversification, collaborative governance, and common rules in data management. Data diversity is already reflected in open science and industries and libraries, and librarians should be aware of this. [Originality/Value] This paper proposes the concept of data diversity and briefly discusses the requirements of data diversity for data management. 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 （527）      PDF（pc） （431KB）（854）       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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“Three Trends”: Viewing the Development Trend of Archival Undertaking from the 14th Five-Year Plan for Chinese National Archives Development Documentation, Informaiton & Knowledge    2021, 38 (6): 4-11.   DOI: 10.13366/j.dik.2021.06.004 Abstract （525）      PDF（pc） （660KB）（258）       Knowledge map    Save ［Purpose/Significance］By analyzing the 14th Five-Year Plan for Chinese National Archives Development, this paper reflects on the key points and future development trend for the national archives development during this period so as to provide a reference for the high-quality development of archives in the new era.［Design/Methodology］This study collected and analyzed several national development strategies and policy documents of archives, interpreted the proposed requirements for archival work, and explored the development trend of archival work during the 14th Five-Year Plan period.［Findings/Conclusion］During the 14th Five-Year Plan period, Chinese archival work is going to be governed by law, as well as open and modernized. And the three trends are organically integrated.［Originality/Value］Based on the important remarks of Comrade Xi Jinping on archival work, a comprehensive analysis of the national macro-strategy documents and the policy system of archival work has been made, and the developing direction of archival work during the 14th Five-Year Plan period has been proposed. 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 （523）      PDF（pc） （530KB）（720）       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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Practice and Enlightenment of American Public Libraries’ Digital Literacy Education Documentation, Informaiton & Knowledge    2021, 38 (6): 21-37.   DOI: 10.13366/j.dik.2021.06.021 Abstract （523）      PDF（pc） （1631KB）（460）       Knowledge map    Save ［Purpose/Significance］The implementation of digital literacy education is significant for public libraries to adapt to the development of Digital China and narrow the digital divide. Investigating the practice of digital literacy education in American public libraries can provide some references to us.［Design/Methodology］This paper surveyed the websites of 50 American state libraries, and selected eight of them as the research sample. An analysis was conducted on their digital literacy education programs, subjects and contents, as well as the methods. ［Findings/Conclusion］There are several characteristics in American state libraries’ digital literacy education, including emphasis on collaboration in digital literacy education programs, well organization of instruction resources, satisfying hierarchical public needs, and multiple patterns both online and offline. Accordingly, Chinese public libraries need to strengthen collaboration with stakeholders in designing or participating the education programs, integrate and well organize educational resources, provide progressive themes and contents according to the hierarchy of user needs, use reasonable methods and allocate practical space based on developing network infrastructure and digital equipment, and strengthen instructors’ training and pay attention to users’ feedback.［Originality/Value］This research explores public libraries’ digital literacy education programs, contents and methods from the perspective of educational system, as well as stakeholders’ cooperation, which will help optimize the educational system and public digital literacy level. 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 （515）      PDF（pc） （449KB）（814）       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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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 （508）      PDF（pc） （688KB）（705）       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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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 （462）      PDF（pc） （497KB）（977）       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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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）（637）       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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Effects of Information Exposure and Trust on COVID-19 Vaccination Intentions Documentation, Informaiton & Knowledge    2021, 38 (5): 119-133.   DOI: 10.13366/j.dik.2021.05.119 Abstract （443）      PDF（pc） （1700KB）（508）       Knowledge map    Save ［Purpose/Significance］The purpose of this paper is to analyze the information sources factors, psychological factors and their interaction mechanisms affecting COVID-19 vaccination intentions. ［Design/Methodology］This study took the Health Belief Model as theoretical basis to investigate the effects of information sources exposure and trust on public health belief and COVID-19 vaccination intentions through PLS-SEM model.［Findings/Conclusion］The study shows that compared with informal information sources, formal information sources exposure and trust are stronger in affecting the cognition of vaccine and vaccination intentions. Perceived benefits and perceived barriers which are the variables representing the evaluation of vaccination behaviors, play a significant mediating effect in this process. In short, people form their belief of vaccination behavior through the use and trust of formal information sources, which further improves their vaccination intentions.［Originality/Value］This study provides a new perspective to understand how information sources affect vaccination intentions based on psychological and cognitive dimensions, partly responds to the prediction of previous Health Belief Model on vaccination intentions. This study also makes a localized explanation of the factors affecting COVID-19 vaccination intentions in China and provides a theoretical basis for the mobilization strategy of COVID-19 vaccination. 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 （438）      PDF（pc） （509KB）（614）       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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Research Workflow in the Era of AIGC: Application and Future of Digital Academic Tools from the Perspectives of Collaboration and AI Empowerment WANG Shuyi, ZHANG Qingwei, ZHANG Jin Documentation, Informaiton & Knowledge    2023, 40 (5): 28-38,126.   DOI: 10.13366/j.dik.2023.05.028 Abstract （414）      PDF（pc） （417KB）（474）       Knowledge map    Save [Purpose/Significance] This study aims to examine the selection of software tools in scientific research activities from the perspectives of "collaborative ability" and "AI empowerment", and propose suggestions for constructing scientific research workflows. [Design/Methodology] Based on the scientific research process, through website surveys and user feedback, we collected information of scientific research tools considering their functional characteristics and user evaluations. Using collaborative ability and AI empowerment as criteria, we compared and selected mainstream scientific research tools. [Findings/Conclusion] There are significant differences in the collaborative abilities of different scientific research software applications, as well as in the degree to which these softwares are integrated with AIGC technology. By constructing optimized workflows through screening scientific research tools, more effective collaboration can be achieved among different stages of scientific research processes, devices, and users to enhance knowledge management and production efficiency of researchers. [Originality/Value] This study provides references for the software choices of researchers and promotes more excellent research tools selected to collaborate in scientific research and improve AIGC capabilities and the overall efficiency of research activities. 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 （411）      PDF（pc） （388KB）（320）       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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Citation-based Quantitative Evaluations on Scientific Publications: A Literature Review on Citation based Impact Indicators Documentation, Informaiton & Knowledge    2021, 38 (6): 47-59.   DOI: 10.13366/j.dik.2021.06.047 Abstract （409）      PDF（pc） （933KB）（344）       Knowledge map    Save ［Purpose/Significance］Citation-based quantitative evaluations on scientific publications are significant research contents in the fields of library and information science as well as scientific research management. Previous studies have proposed many citation-based impact indicators, but there is no clear illustration of their backgrounds, appllicable scope, advantages and limitations. So it is necessary to review the existing citation-based impact indicators both in China and abroad.［Design/Methodology］Through literature research method, this paper explained the theoretical and practical foundations of  citation-based impact indicators. Then it made comments on the existing citation-based impact indicators from three aspects, which are basic citation-based impact indicators, count-based indicators, and network-based indicators.［Findings/Conclusion］There are a lot of theoretical and practical foundations for existing indicators, which are either count-based or network-based. Network-based indicators are evolving into the innovative direction of scientific literature measurement. However, there are several problems existing in current studies, including lack of indicator evaluation, neglect of computational complexity and data accessibility, and limitations of the used datasets.［Originality/Value］Future citation-based quantitative evaluations on scientific publications need improvement in accuracy, computability, and interpretability of indicators. Related Articles | Metrics | Comments（0）

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Survey Report on MLIS Program Development in China (2020) Documentation, Informaiton & Knowledge    2021, 38 (4): 41-49.   DOI: 10.13366/j.dik.2021.04.041 Abstract （400）      PDF（pc） （3594KB）（354）       Knowledge map    Save ［Purpose/Significance］In 2020, the Education Steering Committee Secretariat of MLIS conducted the eighth survey of national MLIS education development status, which aims to reveal the current status and development trend of MLIS education in China. ［Design/Methodology］This study specifically investigated faculty, enrollment, cultivation and employment of 49 MLIS education institutions through questionnaires, and revealed the development trend of MLIS education by comparing with historical data. In addition, this article systematically analyzed postgraduate programs of MLIS. ［Findings/Conclusion］The survey results of the 49 MLIS education institutions indicate a rapid development of MLIS education, which is manifested in the enlarging scale of both faculty and enrollment, and the promising employment situation of graduates. The education directions of each institution remarkably reflect the demands on talents of the society. Additionally, the curriculum is getting more standardized and the coverage of knowledge points is becoming increasingly comprehensive. However, optimization of the curriculum system is still an issue worthy of discussion.［Originality/Value］The reports on the development of MLIS education in China have been consecutively published for eight years. Compared with previous surveys, this survey report additionally and elaborately analyzes the duration, tuition and training program. Related Articles | Metrics | Comments（0）

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Research on Characteristics and Topic Maps of Users’ Information Interaction Behavior on Live Webcast Platforms Documentation, Informaiton & Knowledge    2021, 38 (4): 15-26.   DOI: 10.13366/j.dik.2021.04.015 Abstract （385）      PDF（pc） （7574KB）（304）       Knowledge map    Save ［Purpose/Significance］Webcast platform is a new kind of social media platform that has been developing rapidly in recent years and increasingly favored by users. Analyzing users’ information interaction behavior on webcast platform is helpful to better understand users’ behavior characteristics and their topic preferences. ［Design/Methodology］With the use of natural language processing technology and entity discovering technology, this study builds a characteristic model for the topic map of users’ information interaction behavior on live webcast platform, and conducts a topic mining. Combined with the topic on Tik Tok, this article analyzes the characteristics of users’ information interaction from three aspects, which are single user’s information interaction map, inter-group users’ interaction map and users’ information perception semantic map.［Findings/Conclusion］Users’ information interaction behavior on live webcast platform can be divided into single user’s  information interaction behavior and group users’ information interaction behavior. Mass media and self-media are the most influential webcast platforms for netizens. The characteristics of users’ information interaction behavior on live webcast platforms include information interaction motivation, isolation and bias. ［Originality/Value］This study builds a characteristic model of users’ information interaction behavior on live webcast platforms, which could help reveal the main characteristics of users’ information interaction behavior on webcast platforms better. Meanwhile, it proposes a new research perspective of semantic mining for subsequent research on topic discovery.It also proposes comments and advices for providing users with better communication and public opinion guidance on webcast platforms. Related Articles | Metrics | Comments（0）

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Research on  Data Standard System of Smart Libraries Documentation, Informaiton & Knowledge    2021, 38 (4): 50-61.   DOI: 10.13366/j.dik.2021.04.050 Abstract （374）      PDF（pc） （1893KB）（348）       Knowledge map    Save ［Purpose/Significance］This study discusses the data standard system for the construction of smart libraries. It intends to explore the realization of "wisdom" from the perspective of data standardization in the subsequent of  the stages of concept differentiation, system development and model innovation.［Design/Methodology］Viewed from smart libraries, data standard system was deemed as the research object. The data standard system of smart libraries was proposed by combining with big data theory and data lifecycle theory. Additionally, framework development and content construction of standard system were discussed with the use of qualitative analysis method.［Findings/Conclusion］The key point of building data standard system for smart libraries is full integration of resource data, administration data and user data. Meanwhile, it is significant to develop a scientific system infrastructure based upon data lifecycle model. At the same time, content construction of the standard system needs to be improved from three aspects, which are organizational data standards, administrative data standards and usable data standards.［Originality/Value］From the perspective of studying standard system, this paper proposes a framework of smart libraries’ data standard system. By combining with smart libraries’ big data environment and data lifecycle model, an in-depth analysis has been conducted on its content construction. Conclusions of this research could provide a reference for developing data standard system of smart libraries in China. Related Articles | Metrics | Comments（0）

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Literature Review on Influencing Factors of Information Diffusion in Social Networks Under Different Themes Documentation, Informaiton & Knowledge    2021, 38 (4): 102-113.   DOI: 10.13366/j.dik.2021.04.102 Abstract （364）      PDF（pc） （5255KB）（345）       Knowledge map    Save ［Purpose/Significance］Studying the influencing factors of social network information diffusion of different themes helps to explore the paths of information diffusion of different themes, and provides practical guidance and theoretical basis for optimizing the diffusion scheme.［Design/Methodology］With the use of bibliometric methods, this study analyzed the hot issues of social network information diffusion. Additionally, topics were categorized through keywords clustering. Then related literatures were profoundly analyzed and sort out so as to explore the influencing factors of social network information diffusion under different themes.［Findings/Conclusion］Four themes including natural disaster, health and disease, product marketing, and sport and entertainment were identified. Scholars have various focuses in research objects, research methods and research theories under different themes. Moreover, nodes’ characteristics, information contents and network structures have different effects on information diffusion. ［Originality/Value］This study summarizes impact factors of social network information diffusion from the perspective of theme. Research key points and relevant theories were explored, which could further enrich the research system of social network information diffusion. Related Articles | Metrics | Comments（0）

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The Construction of Discipline System of Library Science with Chinese Characteristics Documentation, Informaiton & Knowledge    2022, 39 (4): 6-18.   DOI: 10.13366/j.dik.2022.04.006 Abstract （361）      PDF（pc） （754KB）（314）       Knowledge map    Save [Purpose/Significance] By explaining why, what and how to construct the discipline system of library science with Chinese characteristics, this paper aims to  clarify the overall direction and specific measures for the development of the specialty of library science in China in the future. [Design/Methodology] Through a literature review and network investigation, using the methods of induction and deduction,this paper systematically sorts out the basic connotation, practical opportunity, internal demand, theoretical basis and innovation direction of the discipline system of library science with Chinese characteristics, and further analyzes the construction path of the discipline system of library science with Chinese character. [Findings/Conclusion] Findings reveal that the essence of the discipline system of library science with Chinese characteristics is China's independent knowledge system of library science .To realize the creative transformation and inheritance of the theory and practice of library science in China,we should construct the discipline system of library science based on the research results of the existing library science discipline system in China, consider the development practice opportunities, internal demand and combine the emerging themes of policy deployment, theoretical research and industry practice.We should also reasonably introduce the advanced achievements from abroad, and construct the discipline system of library science with Chinese characteristics with scientific ideas. [Originality/Value] This paper clarifies the core of the discipline system of library science with Chinese characteristics, expands its connotation, boundaries and stimulates the vigor and viability of the development of the discipline of library science in China. Related Articles | Metrics | Comments（0）

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Are Valuable Contents Enough? Product Feature Extraction and Problem Mining of Knowledge Live Broadcasting Documentation, Informaiton & Knowledge    2021, 38 (4): 4-14.   DOI: 10.13366/j.dik.2021.04.004 Abstract （360）      PDF（pc） （4104KB）（438）       Knowledge map    Save ［Purpose/Significance］The advent of live knowledge broadcasting platforms has brought users a new approach of knowledge acquisition, communication and monetization. Research on product feature extraction and problem mining for knowledge broadcasting is helpful to improve the quality of knowledge broadcasting products and promote a benign development of knowledge broadcasting platforms.［Design/Methodology］Taking Zhihu Live as the research object, this paper extracted the high-frequency words of product features from 9,108 users’comments so as to build a feature system of knowledge broadcasting products; with the use of fine-grained viewpoint extraction methods, viewpoints of negative sentiment were extracted in order to reveal the existing problems of knowledge live broadcasting products.［Findings/Conclusion］The product feature system of Zhihu Live lectures can be summarized into three dimensions, namely lecturers, courses and users. Among the three dimensions, users are most concerned with features related to the dimension of courses such as the quality and the form of contents. Currently, the main problems of knowledge live broadcasting products are inadequate real valuable contents in courses, unserious answering of questions, unreasonable time arrangement and so on. Consequently, platforms should collaborate with lecturers to improve service quality through problem-oriented methods.［Originality/Value］Focusing on new knowledge broadcasting approaches, this study provides a reference for improving knowledge service and users’ satisfaction of knowledge broadcasting platforms. Related Articles | Metrics | Comments（0）

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Promoting the New Development of China's Library Industry with Chinese Modernization: Reflections Based on Modernization of Huge-scale Population Documentation, Informaiton & Knowledge    2023, 40 (1): 6-12.   DOI: 10.13366/j.dik.2023.01.006 Abstract （354）      PDF（pc） （304KB）（187）       Knowledge map    Save [Purpose/Significance] This paper puts forward the proposition of comprehensively promoting the new development of China's library industry with Chinese modernization, and addresses this proposition from the perspective of modernization based on the huge-scale population . [Design/Methodology] We analyze and discuss the issues from four dimensions: Chinese modernization and modernization with a huge population, the characteristics of modernization with a huge-scale population, the planning of the new development of library modernization based on a huge population, and the realizing of the new promotion of higher quality of libraries with a huge population.  [Findings/Conclusion] The modernization with a huge-scale population reflects the developmental idea of being people-centered, the cultural pursuit of common prosperity in spiritual life and the primary task of high-quality development on the new journey of the new era; the modernization with a huge-scale population in China is characterized by urbanization, aging population, the largest number of Internet users and the largest number of mobile phone Internet users, and a huge number of floating population. This provides opportunities for comprehensively promoting the new development of China's library industry through Chinese modernization [Originality/Value] New ideas and new measures to comprehensively promote the new development of China's library with Chinese modernization, includding focusing on the library development strategy for populations of varying sizes（large, medium, and small）; focusing on the all age friendly spatial layout and content provision; focusing on the multi-directional march of physical space, network space and social space; focusing on building smart library system that benefits all readers, improving the massive service efficiency based on a large number of Internet users, and innovating and developing rich and high-quality library service supply. 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 （353）      PDF（pc） （566KB）（628）       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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Academic Interview with Prof.Min Song, Department of Library and Information Science, Yonsei University Documentation, Informaiton & Knowledge    2021, 38 (5): 15-19.   DOI: 10.13366/j.dik.2021.05.015 Abstract （352）      PDF（pc） （897KB）（314）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Literature Review on Citation Sentiment Analysis Methods Documentation, Informaiton & Knowledge    2021, 38 (6): 60-72.   DOI: 10.13366/j.dik.2021.06.060 Abstract （352）      PDF（pc） （1033KB）（510）       Knowledge map    Save ［Purpose/Significance］This article summarizes the development of citation sentiment analysis. It also analyzes the challenges faced by citation sentiment analysis and its future direction.［Design/Methodology］By reviewing the results of relevant research on citation emotion analysis at home and abroad, this article put forward the framework of citation sentiment analysis including citation content extraction, citation sentiment classification, and citation sentiment recognition system; It systematically analyzed the existing related research results, and the applications of citation sentiment analysis in academic evaluation, information retrieval and other fields were also summarized.［Findings/Conclusion］Citation sentiment analysis has already made abundant important achievements in technologies and applications. However, it still faces many problems and challenges, such as citation context extraction, corpus annotation and feature engineering; At the same time, end-to-end citation sentiment analysis, multi-feature citation sentiment analysis, multi-modal citation sentiment analysis, and citation sentiment analysis based upon time series are the significant future development directions.［Originality/Value］This article reveals the development progress and characteristics of citation sentiment analysis, and expounds its future development directions. Related Articles | Metrics | Comments（0）

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Research on Government Data Governance and Data Use Capability: Status, Problems and Suggestions Documentation, Informaiton & Knowledge    2021, 38 (5): 21-33.   DOI: 10.13366/j.dik.2021.05.021 Abstract （344）      PDF（pc） （773KB）（357）       Knowledge map    Save ［Purpose/Significance］This paper aims to discover the problems in existing research and to provide directions for future research through literature research on government data governance and data use capability. ［Design/Methodology］Oriented to the national strategic needs and guided by the key issues in research on government data governance and data use capability, the representative studies were reviewed and a comparison between China and foreign countries was made in four aspects, including government data legal governance and data availability capability, government data provenance governance and data usefulness capability, government data accuracy governance and capability for data effective use, government data sustainable governance and capability for data secure use.［Findings/Conclusion］Through comparative analysis, it is found that the existing domestic studies focus on the operational layer, while the foreign studies focus on the strategic layer. Moreover, systematic research suggestions have been proposed from the national level, which include government data legal governance-data availability capability building, government data provenance governance-data usefulness capability building, government data accuracy governance-capability building for data effective use and government data sustainable governance-capability building for data secure use.［Originality/Value］The proposed systemic research initiative on government data governance and data use capability provides a new direction for research on the modernization of national governance system and governance capability with data empowerment during the "14th Five-Year Plan" period. Related Articles | Metrics | Comments（0）

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Research on the Usage Behavior of Academic Papers in Chinese Social Media: A Case Study of Zhihu Documentation, Informaiton & Knowledge    2022, 39 (1): 84-94.   DOI: 10.13366/j.dik.2022.01.084 Abstract （341）      PDF（pc） （434KB）（278）       Knowledge map    Save [Purpose/Significance] This study takes Zhihu as an example to study the usage behavior of academic papers on Chinese social media in order to provide a reference for expanding the altmetrics data source. [Design/Methodology] This study collected the usage behavior information of academic papers from Zhihu, and divided them into three aspects, including usage scenes, usage forms, and usage contexts.It built a coding system to reveal user behavior characteristics through content analysis, statistical analysis and other methods. [Findings/Conclusion] The usage behavior of academic papers on social media is diverse, complex and regular, which can reflect papers’value and increase the attention to papers. As a typical Chinese social media, Zhihu can be deemed as a new data source of altmetrics for evaluating the social influence of papers. [Originality/Value] This study explores the usage behavior of academic papers on Zhihu, and proposes that Zhihu could deal with the lack of Chinese data source for popular altmetric indicators to some extent. Related Articles | Metrics | Comments（0）

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Mobile Search Behavior of Social Media App Users:Context, Strategy and Path Documentation, Informaiton & Knowledge    2022, 39 (6): 133-142.   DOI: 10.13366/j.dik.2022.06.133 Abstract （340）      PDF（pc） （970KB）（511）       Knowledge map    Save [Purpose/Significance] This paper explores users' mobile search behavior when using social media apps from three aspects of search context, search strategy and behavior path. It is helpful to deeply understand users' information behavior characteristics on social media apps. [Design/Methodology] In this paper, 40 users were recruited as experimental subjects for a fee, and their behavioral data and contextual information during using social media apps for mobile search within 20 days were obtained through the method of structured logs and analyzed to reveal the behavioral characteristics of users using social media APP for mobile search. [Findings/Conclusion] The users' mobile search time of using social media is generally short, and the search locations are relatively centralized.In the context of social media usage, users' mobile search tasks are mainly about informational, and the distribution of mobile search motivations is relatively average.There are different associations between different search tasks, search motivations and search topics. After initial search, social media users will continue to search, share search results or engage in other behaviors, accompanied by the switching of app interaction path. [Originality/Value] The innovation of this paper mainly focuses on users' search behavior on social media APPs, which is a supplement to the study of social search behavior in the mobile Internet environment. Related Articles | Metrics | Comments（0）

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A Review of Research on Interactive Visualization Applications in Digital Humanities Documentation, Informaiton & Knowledge    2022, 39 (5): 42-55.   DOI: 10.13366/j.dik.2022.05.042 Abstract （338）      PDF（pc） （2339KB）（347）       Knowledge map    Save [Purpose/Significance] This paper presents a systematic review of current research that employ interactive visualization in digital humanities studies to reveal the whole picture of the area.  [Design/Methodology] Fifty interactive visualization studies and projects were collected from representative journals and conferences in the field of digital humanities and major projects of domestic digital humanities research institutions. A new analytical framework and taxonomy was proposed based on existing visualization theory and inductive coding. Based on this framework,the collected literatures were categorized and analyzed from the perspective of user, data, task, visual representation and interactions. [Findings/Conclusion] Our results show that（1）There's a lack of attention to visualizing GLAM data for public users, constructing humanities datasets and assisting annotation with visualizations.（2）The main challenge of interactive visualization design in the current digital humanities is to cope with data uncertainty and improve the performance and availability of interactive visualization for large-scale, multi-dimensional data and complex tasks. [Originality/Value] This paper reveals the research state and future direction of interactive visualization in the field of digital humanities. Related Articles | Metrics | Comments（0）

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Measuring Human-AI Interaction Experience: Implications for Conducting Controlled Experiments JIANG Tingting, TIAN Huiyi, XU Yanrun, FU Shiting Documentation, Informaiton & Knowledge    2023, 40 (2): 10-19.   DOI: 10.13366/j.dik.2023.02.010 Abstract （338）      PDF（pc） （725KB）（408）       Knowledge map    Save [Purpose/Significance] Human-AI interaction（HAII）has become a frontier research theme in the field of human-computer interaction. The research of Human-AI interaction focuses on the processes and outcomes of human using artificial intelligence to accomplish specific tasks and explores the function and mechanisms of each element in the process. This study aims to reveal the application of controlled experiments in existing foreign HAII research and to acquire implication, which would provide guidance for future experimental studies and accelerate the development and popularization of human-centered AI. [Design/Methodology] This study conducts a systematic review on 114 experimental research articles on Human-AI interaction experience, which were published between 2007 and 2022. It proposes a five first-level categories coding table including experimental samples, experimental tasks, experimental materials, experimental observation dimensions and data analysis methods, based on which the content analysis on the experimental design part of the literature has been conducted. [Finding/Conclusion] Previous researches have shown the characteristics such as single sampling method, low reusability of experimental materials, insufficient use of objective experimental observation tools, and prospective experimental tasks. [Originality/Value] The research focus on the emerging research direction of human-AI interaction experience, is the first to comprehensively review and analyze the research methodology and contribute a complete set of basic framework for experimental design, which helps to improve the standardization and scientificity of human-AI interaction experience research. Related Articles | Metrics | Comments（0）