Most Read

Published in last 1 year |

In last 2 years |

In last 3 years |

All

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Algorithmic Recommendation, Information Cocoon and the "Disappearance of the Nearby" GUO Yajun, LI Tianxiang, FENG Siqian, LIU Kunfeng Documentation, Informaiton & Knowledge    2025, 42 (2): 156-166.   DOI: 10.13366/j.dik.2025.02.156 Abstract （1079）      PDF（pc） （417KB）（1666）       Knowledge map    Save [Purpose/Significance] The excessive development and application of algorithmic recommendation technology in digital-intelligent era has intensified the information cocoon and triggered the "disappearance of the nearby". The research and deciphering of this phenomenon can provide references for regulating algorithmic technology,optimizing users' information behavior and improving the social environment. [Design/Methodology] This study adopts a progressive structure, metaphorically referred to as "spinning a cocoon" "breaking the cocoon" and "becoming a butterfly", to examine the stage dilemma encountered by the user subject in the hazard response of "algorithmic recommendation—information cocoon—disappearance of the nearby". Additionally, it proposes targeted strategies to break the information cocoon and reproduce "the nearby". [Findings/Conclusion] In the process of "spinning a cocoon", users encounter a series of challenges, including "the dilemma of cyberspace of role degradation—the dilemma of conceptual cognition of thinking solidification—the dilemma of real life of emotional desalination". To "breaking the cocoon", it is essential to emphasize the subjective status of users in the algorithm-driven society, and improve their algorithm literacy from the algorithm cognition,algorithm skill and algorithm specification. "Becoming a butterfly" should integrate the three paths of self-awakening, virtual and real symbiosis and technological goodness to achieve pioneering changes and reproduce "the nearby". [Originality/Value] From the perspective of the discipline of Information Resource Management (IRM), this study explores the relationship between algorithmic recommendation,information cocoon and the social phenomenon of "disappearance of the nearby", and seeks the path to solve the problem,so as to contribute disciplinary wisdom and solutions to the healthy functioning and coordinated development of society. Related Articles | Metrics | Comments（0）

Select

User's Interaction Behavior with Generative Artificial Intelligence in Daily Life Contexts WANG Jun, XIE Qingling, LIU Chang Documentation, Informaiton & Knowledge    2025, 42 (2): 60-69, 93.   DOI: 10.13366/j.dik.2025.02.060 Abstract （760）      PDF（pc） （381KB）（3808）       Knowledge map    Save [Purpose/Significance] Generative artificial intelligence products are becoming a new channel for people to obtain information. Extensive empirical research is required to understand how people utilize and perceive generative artificial intelligence products, and how those products perform in helping people complete tasks in their everyday life contexts. This study focuses on skilled users of ChatGPT 3.5, and analyzes their interaction behavior with generative AI in daily life situations. [Design/Methodology] This study conducted a longitudinal study combined with diary and interview methods, recruiting college students who were ChatGPT proficient users. We recorded the specific process of their interaction with ChatGPT in daily life. The research integrated qualitative and quantitative analysis to categorize the types of tasks users completed with generative AI, and compared the differences in their interaction behaviors and levels of satisfaction when completing different types of tasks. [Findings/Conclusion] It is found that in daily life, the types of tasks completed by college users with ChatGPT can be categorized into five types according to cognitive complexity: information-acquiring tasks, comprehending tasks, operative tasks, analytic and evaluative tasks, and creative and expressive tasks. A relatively high level of users' satisfaction is shown in information-acquiring tasks, comprehending tasks, and operative tasks, while their satisfaction with analytic and evaluative tasks is slightly lower. There is significant differences in users' satisfaction with creative and expressive tasks. [Originality/Value] The research summarizes the task types from the cognitive level, providing an operable standard for the evaluation of AIGC in the future. It also helps explore users' needs for information in the era of intelligent communication, and enrich the research content and achievements in the field of information behaviors under the perspective of AI empowerment. Related Articles | Metrics | Comments（0）

Select

A Framework for Identifying the New Digital Divide Within the Context of Generative Artificial Intelligence （ GAI ） SUN Rong, LI Baiyang Documentation, Informaiton & Knowledge    2025, 42 (3): 19-30.   DOI: 10.13366/j.dik.2025.03.019 Abstract （672）      PDF（pc） （379KB）（2439）       Knowledge map    Save [Purpose/Significance] The objective of this study is to identify the manifestation and core content of the emerging digital divide in the context of generative artificial intelligence, aiming to provide enlightenment for solving the cognitive and action plight of the digital vulnerable groups. [Design/Methodology] Based on the "Cognitive-behaviorism" perspective, the paper constructed a framework using the method of large-scale literature research. [Findings/Conclusion] A "Cognition-Access-Utilization-Evaluation"（CAUE）framework is constructed to identify and analyze the three-level indicators of the new digital divide in a generative AI environment. According to the analysis results, the countermeasures and suggestions are proposed, while the future research prospects are also discussed. [Originality/Value] This paper proposes a framework for identifying and analyzing the new digital divide in the context of generative artificial intelligence, and provides references for solving the problems related to the concept discrimination, form recognition and bridging paths of the new digital divide. Related Articles | Metrics | Comments（0）

Select

Strategies for Releasing the Value of Data Production Factors in Scientific and Technological Literature ZENG Jianxun Documentation, Informaiton & Knowledge    2025, 42 (4): 6-14, 40.   DOI: 10.13366/j.dik.2025.04.006 Abstract （659）      PDF（pc） （350KB）（392）       Knowledge map    Save [Purpose/Significance] The release of the value of scientific and technological literature data production factors is of great significance for promoting scientific and technological innovation and industrial progress. This study aims to analyze the release mode and release strategy of the value of scientific and technological literature data production factors to promote the practical application of the scientific and technological literature data production factors market in China. [Design/Methods] By sorting out and analyzing the characteristics of the data production factors of scientific and technological literature and the development situation of the data production factors of scientific and technological literature in China, the value release mode and value release strategy of data production factors of scientific and technological literature are proposed. [Findings/Conclusion] The data production factors of scientific and technological literature are characterized by liquidity, synergy, re-usability and integration, etc. However, in the course of the development of data production factors in the field of scientific and technological literature in China, there are still certain problems such as the international resources being controlled by others, the lack of in-depth processing of data, and the poor circulation mechanism in the data market. To this end, it is proposed to establish a multi-level registration system for literature data, strengthen the scale collection and in-depth processing of literature data, and promote the release mode of credible circulation and compliant application of literature data. At the same time, it is proposed that data property rights should be clarified, multiple data market players and "data businessmen" in the field of documentation and intelligence should be cultivated, pilot demonstration projects should be promoted, and industry supervision should be strengthened in order to realize the release of the value of scientific and technological literature data production factors. [Originality/Value] Exploring the mode and strategy of releasing the value of scientific and technological literature data production factors will help to improve the value and utilization efficiency of scientific and technological literature data production factors, promote the construction of the market for the data production factor of scientific and technological literature, and realize the multiplier effect of scientific and technological innovation and industrial progress. Related Articles | Metrics | Comments（0）

Select

The Datafication Approach of Smart Senior Care: Origins, Connotation, and Frameworks LI Xinyue, LIAN Jingwen, WANG Xi, ZHU Qinghua, SONG Xiaokang Documentation, Informaiton & Knowledge    2025, 42 (4): 27-40.   DOI: 10.13366/j.dik.2025.04.027 Abstract （620）      PDF（pc） （533KB）（2068）       Knowledge map    Save [Purpose/Significance] This study aims to review the current status of smart senior care data resources, clarify their conceptual implications, explore the approach to smart senior care datafication in the context of active aging, and facilitate the transformation of smart senior care data from "creation" to "utilization", and smart senior care services from "existence" to"excellence". [Design/Methodology] This study centers on the concept of "the datafication of smart senior care" and analyzes its background based on the "I-Model" theoretical framework. It delves into the conceptual implications using Genre theory from the perspectives of "Who-What-Why-How". Ultimately, it constructs a research framework for smart senior care datafication encompassing research perspectives, paradigms, and key issues. [Findings/Conclusion] The study reveals the complexity of smart senior care datafication, which involves multiple stakeholders, diverse scenarios, and various technological components throughout the entire data lifecycle. Using the analytical perspective of the "User-Technology-Organization" three-chain spiral, the study identifies five research paradigms applicable to smart senior care datafication: positivism, interpretivism, system science, data-intensive approaches, and AI for science research methods. It also discusses key issues such as pain points and challenges, data governance, and data value innovation in smart senior care datafication. [Originality/Value] By focusing on "data" at a micro level, this study innovatively proposes and defines the concept of "smart senior care datafication" and identifies five applicable research paradigms and three key issues. It provides theoretical support for understanding the development stages of smart senior care in China, clarifying the stakeholders, key elements, driving forces, and operational mechanisms. Furthermore, it serves as an important reference for future theoretical advancements and practical explorations. Related Articles | Metrics | Comments（0）

Select

Topic and Knowledge Association Evolution in the Field of Large Language Model-enabled Information Retrieval CHEN Shuaipu, LIU Fanglin, QIAN Yuxing, NI Zhenni, ZHANG Zhijian, RONG Guoyang Documentation, Informaiton & Knowledge    2025, 42 (3): 53-65, 87.   DOI: 10.13366/j.dik.2025.03.053 Abstract （596）      PDF（pc） （616KB）（1628）       Knowledge map    Save [Purpose/Significance] Large language models（LLM）are leading the information retrieval field to transition from simple document retrieval towards a new stage of comprehensively satisfying users' information needs. Reviewing and exploring the evolutionary trends and future developments of LLM during this transition is of great significance for theoretical innovation and practical application extension in the field of LLM-enabled information retrieval. [Design/Methodology] This research selects multiple leading conferences in the field of information retrieval and analyzes them from dual perspectives of thematic and knowledge association evolution. It deeply investigates how frontier technologies like LLM are driving the evolutionary development, knowledge reconstruction, and innovative applications in information retrieval, thereby revealing the future development directions of the field under the influence of LLM. [Findings/Conclusion] Driven by LLM, the research themes and knowledge structures in the field of information retrieval are undergoing evolution. At the research paradigm level, there is a focus on new concept of human-machine collaboration, technological ethics, and the paradigm integration brought about by enhanced user experience. At the technical level, there is an emphasis on efficient retrieval model architectures and workflow optimization of LLM, the collaborative development of lightweight language models and LLMs, as well as the open-source and equitable development of LLM. However, the application of LLM in information retrieval still faces challenges such as difficulties in effective technical evaluation, uncertainties regarding the reliability of generated content, and the high complexity of social applications. [Originality/Value] This research introduces fine-grained knowledge association networks into the evolutionary analysis framework, providing a multi-dimensional analytical perspective for research in technology-enabled fields. It also clarifies and reveals the evolutionary patterns of the information retrieval field from the data level, delineating the future development of the field. Related Articles | Metrics | Comments（0）

Select

Polyphonic Chorus: Interactive Digital Narrative Mechanisms for Cultural Heritage Driven by Generative Artificial Intelligence LI Anrunze, NIU Li, LIU Huilin, JIN Chi Documentation, Informaiton & Knowledge    2025, 42 (3): 76-87.   DOI: 10.13366/j.dik.2025.03.076 Abstract （594）      PDF（pc） （467KB）（1415）       Knowledge map    Save [Purpose/Significance] Against the backdrop of the national strategy for cultural digitization, this study explores the potential of leveraging the characteristics of knowledge production, free creation, and collaborative experience inherent in generative artificial intelligence technology to tackle the challenges brought by the transformation of cultural heritage narrative models toward digital intelligent and participatory forms. [Design/Methodology] Based on multidisciplinary literature, this study combs through the technical characteristics of generative AI and its correlations with the mechanisms of interactive digital narrative. [Findings/Conclusion] Based on the SPP framework, the study constructs a new model of interactive digital narrative of cultural heritage driven by generative AI from three dimensions: the narrative system, process, and product. It is manifested as the ability to understand and reconstruct the cultural heritage content, and through anthropomorphic human-computer interaction, it endows the public with the freedom to create stories and a co-creation experience. [Originality/Value] By leveraging the capabilities of generative AI, the study establishes a more interactive path for story generation, emphasizing personalized creation and immersive participation. The result is a "polyphonic" digital narrative of cultural heritage, offering a new and feasible approach to fostering public cultural memory construction and identity formation. Related Articles | Metrics | Comments（0）

Select

Users' Privacy Risk Perception and Protective Behavior in Smart Home Usage Scene CAO Yaning, KE Qing, YANG Hui Documentation, Informaiton & Knowledge    2025, 42 (2): 70-82.   DOI: 10.13366/j.dik.2025.02.070 Abstract （577）      PDF（pc） （457KB）（1249）       Knowledge map    Save [Purpose/Significance] Smart homes have enhanced the comfort of home life, but they also raise privacy concerns for users. Exploring the users' privacy risk perception and protective behavior in the scene of smart home usage is helpful to understand the new privacy problems faced by users in special situations and their behavior patterns, and help enhance the privacy protection design of smart home. [Design/Methodology] Semi-structured interviews were conducted with 37 participants, Grounded Theory was employed to analyze the interview data, and a theoretical model was constructed around "privacy risk perception of smart home users", with the storyline being described. [Findings/Conclusion] It is found that four types of antecedents affect smart home users' perception of privacy risk, including the type of privacy information, privacy experience, external assurance assessment and technological prospects forecast, as well as other information products experience. In the smart home usage scene, users' privacy protective behaviors include three categories: limiting the amount of information disclosure, managing the usage scenarios and avoiding the use of specific functions. Privacy risk perception of smart home users and their privacy protective behavior interact with each other, and the perceived value moderates the impact of users' privacy risk perception of smart home on their privacy protective behavior. There is no clear indication of a privacy paradox in the scene of smart home usage. [Originality/Value] The research focuses on the users' privacy risk perception and protective behavior in specific scenarios, which theoretically promotes the user privacy related research in human-AI interaction scenarios, and practically provides a reference for the privacy protection design of smart homes, and helps realize the long-term development goal of "human-centered artificial intelligence". Related Articles | Metrics | Comments（0）

Select

The Influencing Mechanism of Intelligent Recommendation Users' Algorithmic Bias Perception XIAO Zipei, ZHA Xianjin, YAN Yalan Documentation, Informaiton & Knowledge    2025, 42 (2): 131-144.   DOI: 10.13366/j.dik.2025.02.131 Abstract （565）      PDF（pc） （443KB）（674）       Knowledge map    Save [Purpose/Significance] While intelligent recommendation systems alleviate users' information overload, they also make users sense algorithm bias. Because the perception of Algorithmic bias reflect users' subjective feelings, exploring the influencing mechanism of algorithmic bias perception of intelligent recommendation users has an important implications for reducing the harm brought by algorithmic bias. [Design/Methodology] Utilizing grounded theory, this study explored the influencing mechanism of algorithmic bias perception of intelligent recommendation users.In the open coding phase, 175 initial concepts and 28 basic categories were identified. In the axial coding phase,10 principal categories were extracted. In the selective coding phase,"algorithmic bias perception" was identified as the core category. Finally, a theoretical model of influencing mechanism of algorithmic bias perception of intelligent recommendation users was developed. [Findings/Conclusion] The research results indicate that algorithmic literacy, personality traits, psychological state, recommendation narrowing, difference comparison, algorithm characteristics, and social environment directly affect users' perception of algorithmic bias. Furthermore, algorithmic characteristics, intelligent recommendation quality and social environment influence algorithmic bias perception through the mediation of psychological state. The impact of recommendation narrowing on the perception of algorithmic bias is moderated by algorithmic literacy. [Originality/Value] This study innovatively examines algorithmic bias based on user experience. The research findings provide references for both users to mitigate the impact of algorithmic bias and platforms to correct such algorithmic bias. Related Articles | Metrics | Comments（0）

Select

The Construction of an Independent Knowledge System for Information Resources Management Discipline in China MA Feicheng, CHEN Shuaipu, CHEN Jinglong Documentation, Informaiton & Knowledge    2025, 42 (2): 6-21.   DOI: 10.13366/j.dik.2025.02.006 Abstract （564）      PDF（pc） （425KB）（1378）       Knowledge map    Save [Purpose/Significance] The construction of an independent knowledge system for Information Resources Management（IRM）discipline in China is not only an intrinsic academic demand but also an inevitable choice driven by national strategic imperatives. A systematic exploration of the value logic and practical pathways for the discipline's development in the new era holds significant theoretical and practical implications for enhancing academic autonomy, fostering theoretical innovation, and advancing practical applications. [Design/Methodology] This study establishes an analytical framework based on the triadic structure of "Value-Driven Forces-Current State Analysis-Practical Logic". A systematic and multi-level methodological approach is employed to analyze and construct the independent knowledge system of the IRM discipline. Firstly, focusing on the value-driven forces, the study deconstructs the dual driving logic of national strategic demands and the transformations of Digital-Intelligence（DI）technology for shaping disciplinary evolution. Secondly, through tracing the historical evolution and dissecting contemporary challenges, it conducts a current state analysis to reveal the discipline's actual development status. Finally, the study explores the practical logic by clarifying the connotation, scope, and principles of the independent knowledge system and proposing a structured construction pathway.[Findings/Conclusion] The construction of an independent knowledge system for IRM discipline in China requires breakthroughs at the intersection of value orientation, historical accumulation, and contemporary challenges. Its practical logic is embodied in three dimensions: first, the top-level design, which entails systematically defining the disciplinary connotation, scientifically delineating the research scope, and refining core academic propositions; second, the methodological foundation, which necessitates the systematic construction of a principled framework; and third, the implementation strategy, which involves a multi-tiered planning of the practical pathways. These elements collectively contribute to the formation of a distinctive Chinese paradigm for an independent knowledge system of IRM discipline. [Originality/Value] This study breaks away from the traditional path dependence in disciplinary development and constructs a systematic analytical framework for the independent knowledge system of the IRM discipline. By doing so, it injects innovative momentum into the future development of China's disciplinary system, academic system, and discourse system in Information Resources Management. Related Articles | Metrics | Comments（0）

Select

Exploring Knowledge Mining Using Large Language Model Combined with Knowledge Base and AI Agent ZHAO Bang, CAO Shujin Documentation, Informaiton & Knowledge    2025, 42 (4): 88-101.   DOI: 10.13366/j.dik.2025.040.088 Abstract （542）      PDF（pc） （734KB）（597）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to explore the methods, tools, technical frameworks, and application practices on how to use Large Language Model（LLM）combined with knowledge base and AI agent for knowledge mining, which is a typical business in the field of intelligence, and to provide a reference for in-depth explorations of the professional and scenario-based applications of LLMs in the field of intelligence. [Design/Methodology] This study systematically investigates and analyzes LLM combined with knowledge base and AI Agent related technologies and tools, and carries out knowledge mining and testing for scientific and technological literature. [Findings/Conclusion] As a logical hub, LLM combines knowledge base and AI Agent to link domain knowledge with specific tools, enabling independent subdivision of knowledge mining tasks, with the ability to complete the entire process autonomously and intelligently. [Originality/Value] This paper systematically and comprehensively explores the intelligent means for carrying out knowledge mining tasks based on LLM from the perspectives of concepts, methods, technological frameworks, and applications, providing certain insights for future practices and research in the field of intelligence. Related Articles | Metrics | Comments（0）

Select

The Polarization of Network Circles in Social Media: A Heterogeneity Analysis on Different Types of Opinion Leaders ZHANG Yuanyuan, WANG Xinlei, YANG Yongqing, WU Jiang Documentation, Informaiton & Knowledge    2025, 42 (2): 145-155.   DOI: 10.13366/j.dik.2025.02.145 Abstract （529）      PDF（pc） （461KB）（1387）       Knowledge map    Save [Purpose/Significance] From the perspective of social network circles group polarization, this paper explores the heterogeneity of network circle groups led by different types of opinion leaders, aiming to provide theoretical references and decision support for public opinion management departments in implementing diverse governance strategies to address the phenomenon of group polarization.[Design/Methodology] Taking Weibo platform as an example, this study obtained the data of public opinion events, and used multiple regression models to analyze the relationship between opinion leaders in different network circles and the polarization of public opinion and group polarization of the network circles. [Findings/Conclusion] In terms of group opinion polarization, if the opinion leader is an individual user, the degree of difference between the emotional attitude of group users and the opinion leader significantly impacts the degree of group opinion polarization negatively. Conversely, when official organization users act as opinion leaders, the degree of difference between the emotional attitude of network group users and the opinion leader has a significant positive effect on the polarization degree of network circle opinion. Regarding group polarization, the number of discussions in the group has a notable negative influence on its level of polarization. Additionally, both the authentication type and sentiment strength of opinion leaders significantly moderate this effect; however their influence has no significant moderating effect. Compared with individual users, group opinion leaders who are official users will enhance the influence relationship between the number of discussions in the circle group and the degree of group polarization, and the influence relationship between them will be weakened when the feelings of the group opinion leaders are enhanced. [Originality/Value] This study introduces the type of opinion leader as a moderating variable, explores the differences in the influence of various types of opinion leaders on the degree of group polarization of network circles, expands the relevant research on the influence mechanism of group polarization, and provides a new idea for the study of group polarization based on social network circles. Related Articles | Metrics | Comments（0）

Select

The Asymmetric Effect of Streamer Speech Emotion on Audience Purchasing Behavior and Liking Behavior in Live Streaming E-commerce Platform CHEN Ting, CHEN Xi, DING Honghao, HUANG Xiao, WU Jiang Documentation, Informaiton & Knowledge    2025, 42 (4): 151-162.   DOI: 10.13366/j.dik.2025.04.151 Abstract （435）      PDF（pc） （441KB）（244）       Knowledge map    Save [Purpose/Significance] It is still unclear about how streamer speech emotion influences audiences' purchasing behavior and liking behavior in live streaming shopping environments, exploring the impact of streamer speech emotion on audiences' purchasing behavior and liking behavior is helpful for streamers to adjust their language emotion expression to maximize the benefit of live streaming. [Design/Methodology] Drawing on the emotional contagion theory and related literature, this study constructed a research model to explore how streamer speech emotion influence audience purchasing behavior and liking behavior on live streaming e-commerce platform. Then, using the live video data of TikTok platform and the consumption data of Huitun platform, this paper verified the influence of streamer speech emotion on audience purchasing behavior and liking behavior with the help of natural language processing and negative binomial regression analysis, and discussed the moderating effect of streamer' influence. [Findings/Conclusion] The influence of streamer speech emotion on audience purchasing behavior and liking behavior is asymmetrical, that is, streamer speech emotion exhibits an inverted U-shaped relationship with purchasing behavior and a linear relationship with liking behavior, respectively. Streamer' influence negatively moderates the relationship between streamer speech emotion and liking behavior, but has no moderating effect on the relationship between streamer speech emotion and purchasing behavior. [Originality/Value] Our findings enrich the emotional contagion theory and the research scope of audience behavior on live streaming e-commerce platform, and provide insights for the communication strategy of streamers. Related Articles | Metrics | Comments（0）

Select

The Impact of Anthropomorphism and Explainability of AI Search Engine on the Effectiveness of Mental Health Information Search WANG Weijun, MA Shihao, ZHU Yimeng, LIU Ling, YE Jianmei Documentation, Informaiton & Knowledge    2025, 42 (2): 48-59.   DOI: 10.13366/j.dik.2025.02.048 Abstract （429）      PDF（pc） （1942KB）（186）       Knowledge map    Save [Purpose/Significance] AI search engines may provide new opportunities to improve the search effectiveness of mental health information. This study aims to clarify the impact of AI search engines on the search effectiveness of mental health information and reveal its key mechanisms involved. [Design/Methodology] The study conducted two virtual simulation experiments on mental health information search based on human-computer interaction. In experiment 1,126 college students were recruited to explore the impact of different types of search engines on the effectiveness of mental health information search. In experiment 2,146 college students were recruited to investigate the impact of the anthropomorphism and explainability of AI search engines on the effectiveness of mental health information search. [Findings/Conclusion] AI search engines have significantly improved the effectiveness of searching for mental health information.AI search engines with anthropomorphic and explainability features are even more effective in improving search results. Compared with the situation where there is no explanation, when an AI search engine with an anthropomorphic identity explains the content generation process, the information search results are better. [Originality/Value] This research provides a reference for optimizing generative AI search engines and offers recommendations for the application of AI in the field of mental health information searching. Related Articles | Metrics | Comments（0）

Select

Identifying Characteristics of Multilingual Users' Cross-Cultural Information Sharing: Taking Bilibili as an Example FAN Shu, WU Dan Documentation, Informaiton & Knowledge    2025, 42 (2): 36-47.   DOI: 10.13366/j.dik.2025.02.036 Abstract （426）      PDF（pc） （618KB）（1196）       Knowledge map    Save [Purpose/Significance] The development of globalization has driven the online information sharing and interaction among multicultural users on social media. Paying attention to the characteristics of cross-cultural information sharing among multilingual users will help promote the multi-directional dissemination of excellent Chinese culture. [Design/Methodology] Taking videos about cross-cultural information sharing on Bilibili website as an example, using statistical analysis method and Latent Dirichlet Allocation（LDA）topic modeling, this study identified the characteristics of cross-cultural information sharing among multilingual users. [Findings/Conclusion] By exploring the content output characteristics, this paper discovers that multilingual users' video publishing exhibit the traits of short duration, high frequency, and rapid output. The most frequently shared topics are food experience, exploration activity, challenge test, language and culture, news and current affairs, as well as entertainment interaction. The analysis of platform support characteristics shows that officially certified multilingual users have higher level of engagement and activity. The platform's technical support and content recommendation mechanism help expand the coverage of cross-cultural information sharing. In addition, focusing on the trend, emotion and content characteristics of interactive feedback, three main types of interactive feedback are effectively identified: fluctuating interaction, growing interaction and active interaction. [Originality/Value] From the perspective of cross-cultural communication, the three dimensions of content, platform and interaction are integrated to reveal new regulations of information sharing behavior of multilingual users, which is beneficial to promote the international dissemination of excellent Chinese culture. Related Articles | Metrics | Comments（0）

Select

KELLM-Driven Intelligent Service of Scientific and Technological Insights: Connotation, Implementation, and Challenges ZHOU Fanqian, MAO Jin, LI Gang Documentation, Informaiton & Knowledge    2025, 42 (3): 44-52,117.   DOI: 10.13366/j.dik.2025.03.044 Abstract （419）      PDF（pc） （439KB）（584）       Knowledge map    Save [Purpose/Significance] In response to the intelligent challenges posed by technological innovation to intelligence insights in the digital intelligence era, this research systematically reviews the connotations, implementation pathways, and development challenges of intelligent service of scientific and technological insights, aiming to enhance the capabilities of intelligent scientific and technological intelligence services from a dynamic and holistic perspective. [Design/Methodology] Focusing on the scenario of scientific and technological intelligence, based on perceptual thinking, DIKW theory, and other related frameworks, this research explores the connotation of intelligent service of intelligence insights. It elucidates the theoretical logic of knowledge-enhanced large language models （KELLM）by combing the core capabilities and workflows of the model to empower intelligent intelligence insights, and proposes an implementation path driven by KELLM. Finally, the paper summarizes the challenges and opportunities faced by the intelligent service of scientific and technological insights in the current era. [Findings/Conclusion] The epoch-making technological leap, represented by artificial intelligence, will inevitably give rise to the intelligent service of scientific and technological insights. Knowledge-enhanced large language models will serve as a technical engine to empower the intelligent service of scientific and technological insights with these capabilities in knowledge association and integration, knowledge processing and analysis, intelligence comprehension and generation, as well as intelligence application optimization.[Originality/Value] This research proposes the concept of intelligent service of scientific and technological insights and constructs the implementation path based on knowledge-enhanced large language models, which can effectively guide the technology research and product development for the intelligent service of scientific and technological insights. Related Articles | Metrics | Comments（0）

Select

Examining the Check-in Trend from Cultural Scenes: A Study on the Online Community Users' Check-in Behavior of Culture and Tourism Locations DONG Jing, WEN Xiaoyu, XU Hao Documentation, Informaiton & Knowledge    2025, 42 (3): 88-98.   DOI: 10.13366/j.dik.2025.03.088 Abstract （418）      PDF（pc） （333KB）（313）       Knowledge map    Save [Purpose/Significance] Under the background of the integrated development of cultural and tourism, the online community platforms have continuously set off a trend of "Check-in" behavior of culture and tourism locations. It is necessary to examine the formation and influencing factors of this kind of behavior from a cultural perspective. because it is a process of shaping and spreading cultural symbols. [Design/Methodology] This study examines the influencing factors of online community users' check-in behavior of tourism locations from the perspective of cultural scenes theory, combined with quasi-social relationship theory and unified technology acceptance theory. It also analyzes how the scene characteristics of culture and tourism attractions affect users' willingness to check-in and subsequently trigger their check-in behavior. [Findings/Conclusion] It has been identified that the authenticity, legitimacy, community influence and quasi-social relationship of scenes are the main factors influencing online community users' check-in behavior. Based on the research findings, this study puts forward relevant suggestions to promote the integrated development of culture and tourism. [Originality/Value] This study reveals the relationship between scene characteristics of tourism attractions and user check-in behavior from a cultural perspective, providing a unique theoretical perspective for future research. Related Articles | Metrics | Comments（0）

Select

Measuring the Influence of Chinese Civilization: An Empirical Study Based on the Collection of Chinese Classics in Overseas Libraries TANG Wentian, LI Gang, SU Danchun, JIA Yuxin, HE Aixue, JIANG Chengan, TIAN Xin, DENG Yanuo, HUANG Junhui Documentation, Informaiton & Knowledge    2025, 42 (2): 22-35.   DOI: 10.13366/j.dik.2025.02.022 Abstract （401）      PDF（pc） （612KB）（611）       Knowledge map    Save [Purpose/Significance] Chinese culture is an important part of global civilization. Enhancing the communication power and influence of Chinese civilization is the inevitable way to strengthen the country's soft power and discourse power. Constructing a Collection Index aims at quantifying and evaluating the global influence of Chinese civilization, and addresses the current lack of quantitative research and systematic evaluation metrics in the study of Chinese civilization's international impact. [Design/Methodology] In this study, a total of 130 Chinese classic books and 100 overseas national libraries and public libraries were selected as samples. Data such as the total number of Chinese classics in overseas libraries, the number of non-Chinese editions and their latest publication dates were retrieved through multiple channels to construct the collection index and its index system. [Findings/Conclusion] The research shows that the number of Chinese classics in the libraries is directly proportional to the degree of correlation with Chinese history. High-quality Chinese classics have extensive international influence, and the projects to promote Chinese classics "going out" have yielded positive effects. [Originality/Value] This study reveals the distribution characteristics of Chinese classics in overseas libraries and analyzes the possible causes for their formation, thereby effectively validating the practical feasibility of using the Collection Index for quantitative research on the global influence of Chinese civilization. Related Articles | Metrics | Comments（0）

Select

The Path of Enhancing China's Discourse Power in Artificial Intelligence WANG Chuhan, PAN Jiali, LI Guangjian Documentation, Informaiton & Knowledge    2025, 42 (3): 6-18.   DOI: 10.13366/j.dik.2025.03.006 Abstract （398）      PDF（pc） （323KB）（426）       Knowledge map    Save [Purpose/Significance] With the rapid development of artificial intelligence, there is an increasingly fierce competition among the international community for discourse power. Examining the factors influencing China's discourse power in artificial intelligence and discovering the pathway to enhance it will help China focus its efforts precisely and strive for discourse power that commensurate with national strength. [Design/Methodology] On the basis of discourse power theory and related research, this paper extracts three main dimensions of academia, industry, and regulation to summarize a variable system for measuring the discourse power in artificial intelligence. By using a combination method of TOPSIS and set pair analysis, as well as entropy weight method and equal weight method, we quantify the discourse power of artificial intelligence in different countries. By horizontally comparing the influence of different calculation methods and variable weights on the measurement results of discourse power, we identify China's current status and the ideal pathway for enhancing discourse power in the field of artificial intelligence. [Findings/Conclusion] China still has room for improvement in academic discourse power of artificial intelligence, but it holds a significant advantage in industrial discourse power. The regulatory discourse power is a crucial area for exertion. [Originality/Value] Drawing on the idea of evaluative intelligence analysis, this paper constructs a framework for quantitative discourse power analysis in the field of artificial intelligence. It examines the factors that affect the discourse power in artificial intelligence by comparing the differences in results from various measurement methods, with the aim of providing guidance for the layout of research and practices in artificial intelligence in China. Related Articles | Metrics | Comments（0）

Select

Gender Equity in Artificial Intelligence Decision-Making: Components, Patterns and Ecosystem WU Dan, GUO Qingyue, LIU Jing Documentation, Informaiton & Knowledge    2025, 42 (3): 31-43,98.   DOI: 10.13366/j.dik.2025.03.031 Abstract （389）      PDF（pc） （378KB）（1863）       Knowledge map    Save [Purpose/Significance] The study aims to deeply explore the ethical issues of artificial intelligence, clarify the current research status on gender equity in artificial intelligence decision-making, as well as to chart a directions for future research in this area, with the ultimate goal of promoting gender equity in artificial intelligence decision-making. [Design/Methodology] Using a systematic literature review method, the study searched eight domestic and international databases for relevant subject literature from 2000 to the present, yielding a total of 3,869 articles. After preliminary and re-screening, we finally included 50 highly relevant documents in our analysis to identify the topics, components and patterns of current research on gender equity in artificial intelligence decision-making, and to introduce the information ecology theory to build a research ecosystem. [Findings/Conclusion] In terms of sociotechnical perspectives, current research on gender equity in AI-based decision-making focuses on four key areas: analyzing gender bias phenomena at the macro level, examining this bias in subdivided fields, understanding the role of artificial intelligence in promoting gender equity, and human perception of equity in decision-making. The research encompasses four dimensions: information, information subject, information environment and information technology. Furthermore, the research patterns include the traditional type of values radiation, the technology-driven exploration type, and the multidimensional collaborative type. [Originality/Value] The study systematically analyzes current domestic and foreign research on gender equity in artificial intelligence decision-making, and builds an all-round, collaborative gender-equity information ecosystem in artificial intelligence decision-making from an information ecological perspective. It provides references for future research from the information circulation interaction mechanism, multi-subject cooperation mechanism and human-intelligence integration collaboration mechanism. Related Articles | Metrics | Comments（0）

Select

Crowd Workers' Privacy Concerns and Protection in the Gig Economy: A Case Study of Food Delivery Riders in China YE Yuxiang, XIA Huichuan Documentation, Informaiton & Knowledge    2025, 42 (2): 83-93.   DOI: 10.13366/j.dik.2025.02.083 Abstract （376）      PDF（pc） （406KB）（600）       Knowledge map    Save [Purpose/Significance] This study aims to investigate food delivery riders' privacy concerns and protection in China, manifesting the significance of privacy protection for under-represented crowd workers in the gig economy, a relatively vulnerable group. [Design/Methodology] This study has employed a questionnaire survey to assess Chinese food delivery riders' privacy concerns in multiple dimensions, such as information collection, perceived surveillance, and perceived intrusion, and proposed corresponding protection measures. [Findings/ Conclusion] Chinese food delivery riders expressed numerous privacy concerns and many experienced privacy divulgences. Still, their awareness of the platform's data collection and the Personal Information Protection Law（PIPL）was insufficient. [Originality/Value] This paper revealed the complex correlations between the privacy concerns of Chinese food delivery riders in the gig economy and their knowledge about PIPL, highlighted that privacy protection law should be diverse and specific, and proposed that research on privacy user in gig economy should extend from consumer-oriented perspectives to cover some under-represented groups that are prone to be overlooked. Related Articles | Metrics | Comments（0）

Select

On the Value of Archival Data Elements JIN Bo, LIU Juanjuan, YANG Peng Documentation, Informaiton & Knowledge    2025, 42 (4): 15-26.   DOI: 10.13366/j.dik.2025.04.015 Abstract （372）      PDF（pc） （427KB）（1932）       Knowledge map    Save [Purpose/Significance] As a key factor in production, data plays a vital role in economic and social development. Realizing the potential value of data elements has emerged as a critical means of facilitating the transformation of new quality productive forces. Archival data, as a significant resource and essential production element, how to integrate it into the forefront of digital economic development and fully excavate its value represents the pressing research topics that needs to be explored. [Design/Methodology] Starting from the context of the "boom" trend of unlocking the value potential of data elements, this research utilized methods of literature review, interdisciplinary research, and inductive-deductive reasoning to clarify the connotation of data element value and archival data element value, deconstruct the value attributes of archival data elements, and explore the pathways of realizing the value of archival data elements.[Findings/Conclusion] It is proposed that archival data elements possess essential value attributes such as production necessity, resource scarcity, authenticity proof-traceability, historical continuity, and fusion regeneration. The value realization pathways of archival data elements are constructed from four aspects of technological integration, resource development, circulation and sharing, and application in specific scenarios. [Originality/Value] This study explores the theoretical connotations of archival data element value from multiple perspectives, including archival value, data value, and element value, promoting the integration and cross-penetration of archival studies with data science and economics, and opening up new areas of research on archival data element value. Related Articles | Metrics | Comments（0）

Select

The Expansion of Research Topic Ideas with the Integration of Generative AI Search Engines and Human-Computer Collaboration WANG Shuyi, ZENG Wen, QI Qi, XU Longxin, YUE Fang Documentation, Informaiton & Knowledge    2025, 42 (4): 113-125.   DOI: 10.13366/j.dik.2025.04.113 Abstract （361）      PDF（pc） （1391KB）（298）       Knowledge map    Save [Purpose/Significance] This study aims to investigate how to effectively utilize generative AI search engines combined with human-machine collaboration to expand scientific research topic selection, in order to address the challenges of information overload and difficulties in selecting research topics. [Design/Methodology] This research proposes a topic selection workflow based on generative AI search engines in response to the current research landscape, and verifies the topic selection process through experimental and interview methods. The study discusses the advantages of the "human-in-the-loop" in the topic selection process based on the results. [Findings/Conclusion] In the experiment, all participants give a satisfaction score of 90 or above（out of 100）for the effect of topic expansion. Generative AI search engines can effectively assist in scientific research topic selection, but their maximum utility can only be achieved by adopting a human-machine collaborative approach. The "human-in-the-loop" paradigm can fully leverage the strengths of AI, enhancing the quality and efficiency of topic selection and propelling scientific research to a higher level of development. [Originality/Value] The method of expanding topic selection based on generative AI search engines and human-machine integration offers researchers a novel way for topic selection. This method aids in alleviating the issues of information overload and the difficulties associated with selecting research topics, providing theoretical guidance for researchers. Related Articles | Metrics | Comments（0）

Select

The Role and User Experience of Generative Artificial Intelligence in Health Misinformation Identification SONG Xiaokang, ZHAO Yuxiang, SHEN Liang, SONG Shijie, ZHU Qinghua Documentation, Informaiton & Knowledge    2025, 42 (4): 55-65, 125.   DOI: 10.13366/j.dik.2025.04.055 Abstract （361）      PDF（pc） （459KB）（580）       Knowledge map    Save [Purpose/Significance] This paper aims to explore the role and user experience of using Generative Artificial Intelligence （GAI）in health misinformation identification from the perspective of technology-in-use. [Design/Methodology] This study used a mixed-methods approach incorporating fusion randomized controlled experiment, questionnaires, and interviews to gather research data, and analyzed the behavioral performance and perceived experience of users using GAI to identify health misinformation based on independent sample T-test and non-parametric test. [Findings/Conclusion] This research has found that the completion time for tasks in the GAI group are significantly shorter than that of the search engine group, while the average amount times of information interactions during the task completion process in the GAI group are reduced. The users' scores after using GAI search are significantly higher than their pre-search scores, and also significantly higher than those in the search engine group. The perceived effectiveness, efficiency, attractiveness, and overall experience of users in GAI group are significantly higher than those of the search engine group. There is no significant difference between the two groups in terms of perceived learnability, and error tolerance. The user experience of GAI in health misinformation identification follows the storyline of "task technology matching-user information behavior-user experience perception". [Originality/Value] This study comprehensively explore the application of GAI in health misinformation identification through a mixed-methods approach, which can provide insights for intelligent information services and interventions targeting health misinformation. Related Articles | Metrics | Comments（0）

Select

Immersive Experience in Public Libraries' Digital Experience Zones: An Analytical Framework and User Testing CHEN Zeqian, ZHANG Tianxiong, ZHAO Rui Documentation, Informaiton & Knowledge    2025, 42 (2): 94-104,166.   DOI: 10.13366/j.dik.2025.02.094 Abstract （359）      PDF（pc） （468KB）（426）       Knowledge map    Save [Purpose/Significance] Providing users with an immersive experience is the direction and goal of the construction of digital experience zones in public libraries, and understanding and optimizing this immersive experience is a crucial path to improve the construction of digital experience zones, thereby promoting the high-quality development of public libraries. [Design/Methodology] Based on flow theory, user experience theory, and the characteristics of digital experience zones, a framework for immersive experience analysis was established, which encompassed immersive wrapping, interaction, narrativity, and balance. Using a user experience map, the user test was conducted to evaluate the immersive experience in the digital experience zones of public libraries. [Findings/Conclusion] The overall effectiveness of the immersive experience in the digital experience zones of public libraries is generally mediocre, with mediocre performance in interaction, narrativity, and immersive wrapping, and poor balance. The main factors contributing to the unsatisfactory experience are unreasonable spatial planning, inaccessible digital devices, and incomplete experience projects. [Originality/Value] This paper establishes an analytical framework suitable for immersive experiences of digital experience zones in public libraries, which can provide a reference for enhancing the immersive experience effects of three practical models of "new digital reading experience" "digital reading + physical reading experience" and "entertainment experience" in digital experience zones, thereby supports the practical construction of digital experience zones in public libraries. Related Articles | Metrics | Comments（0）

Select

Flowing Abundance: Theoretical Reflection and Practical Observation on Trusted Data Space Construction HU Feng Documentation, Informaiton & Knowledge    2025, 42 (5): 6-18, 65.   DOI: 10.13366/j.dik.2025.05.006 Abstract （354）      PDF（pc） （511KB）（234）       Knowledge map    Save [Purpose/Significance] Trusted data spaces have built a novel circulation paradigm of data characterized by "data remaining stationary while value flows", which is of strategic significance for promoting the compliant circulation of data and releasing the value of data elements. [Design/Methodology] Based on the research idea of "conceptual entry point-functional projection point-realistic foothold-case focus point", this paper conducts a systematic analysis of trusted data spaces by integrating theory and practice. In terms of theoretical reflection perspective, it defines trusted data spaces from connotation and attribute, and explores the ought-to-be significance and actual utility of constructing such a space. In terms of practical observation perspective, it first provides a panoramic depiction of the construction of trusted data spaces from region and field; on this basis, two cases, the European Health Data Space（EHDS）and the Wenzhou Health Data Space（WHDS）, are focused to deconstruct the construction mechanism from the three aspects of elements, guarantees and functions. [Findings/Conclusion] Through the coupling association of consensus rules, multiple stakeholders, data resources, key technologies, and application scenario, and leveraging the attributes of sharing, control, governance, transparency, and interoperability, trusted data spaces can not only alleviate the difficulties in data circulation and deal with data security risks, but also promote the development of a single digital market while empowering social digital governance. Through the the approach of "rule of law + technology governance", the layout and development of trusted data spaces are being promoted in an orderly manner across multiple fields at home and abroad. EHDS and WHDS release the value dividends of the health data community through multi-element collaboration, dual-systematic and technological safeguards,and by primarily addressing the adjustment of data rights and interests. [Originality/Value] While enriching the theoretical research of trusted data spaces, this study provides decision-making support for the high-quality development of trusted data spaces and empowering the construction of the digital economy. Related Articles | Metrics | Comments（0）

Select

The Analysis of Problem Solution Pathways in LIS Research Based on Methodological Awareness WU Jiachun, DONG Ke, SUN Jiaming Documentation, Informaiton & Knowledge    2025, 42 (2): 118-130.   DOI: 10.13366/j.dik.2025.02.118 Abstract （331）      PDF（pc） （1012KB）（921）       Knowledge map    Save [Purpose/Significance] Methodological awareness plays a pivotal role in scholars' understanding of research problems and the selection of problem solution strategies. Investigating the practical application of methodological awareness and the integrity of these problem solution pathways can provide valuable insights for advancing research methods and ensuring the reliability of results in the field. [Design/Methodology] Taking "based on-type" literature published in LIS journals included in CSSCI as the study cases, this study uses the object terms in the titles to represent methodological awareness. By examining the knowledge entities and their combinations in the abstracts, it instantiates the methodological awareness and characterizes the problem solution paths. Through an analysis of object term types, the study identifies the factors driving methodological awareness and further explores the coherence and completeness of research problem solution strategies. [Findings/Conclusion] The research in LIS is predominantly characterized by a methodological awareness focused on technology-driven and data-driven approaches. However, the absence of datasets and knowledge entities of methodology is still quite common. The influence of interdisciplinary approaches on theoretical models and research methods is substantial, and there is a need to strengthen the innovation within the original discipline itself. At the same time, research in LIS shows the combination effect between methodological awareness and problem solution strategies is not satisfactory. [Originality/Value] These findings contribute to a deeper understanding of problem-solving choices in LIS research design and have implications for enhancing the quality of future research. Related Articles | Metrics | Comments（0）

Select

From "Theater in Library" to "Theatrical Library": Evolution of "Library+Theater" Integration and Inspiration on Library Space Transformation WANG Zheng, ZHANG Jingrong, NIU Jia, ZHENG Yulu, LEI Jiawen Documentation, Informaiton & Knowledge    2025, 42 (3): 66-75,104.   DOI: 10.13366/j.dik.2025.03.066 Abstract （328）      PDF（pc） （1030KB）（276）       Knowledge map    Save [Purpose/Significance] To provide a cross-border perspective for help libraries adapt to the trend of space transformation, this paper intends to explore the evolution of "Library+Theater" integration and the inspiration to offer approaches and strategies for library space design and service innovation.[Design/Methodology] The study demonstrates the necessity and feasibility of integrating theater elements into libraries at the theoretical level, and analyzes representative cases of the "library+theater" model at the practical level to interpret the specific ways of the combination and development laws of the two. [Findings/Conclusion] To libraries, the significance of theater has undergone a transformation from "the entity" to "the metaphor". When libraries draw on, introduce and integrate theater elements in their space renovation, they need to go beyond the physical theater and pay more attention to the contemporary value and the construction meaning of theatricality. [Originality/Value] This study summarizes the evolution stages of the form of "library + theater" into three phases: theatrical-form physical renovation, theatrical-style service design, and theatricality-based meaning construction. Oriented towards the future metaverse environment, it proposes a transformative approach from constructing "the theater in library" to designing "the theatricalized library", offering an innovative reference path for spatial transformation of libraries. Related Articles | Metrics | Comments（0）

Select

The Intervention of Social Bots in Online Public Opinion Based on the Spiral of Silence Theory ZHANG Ling, LIU Qiong, HE Changmao Documentation, Informaiton & Knowledge    2025, 42 (4): 139-150.   DOI: 10.13366/j.dik.2025.04.139 Abstract （328）      PDF（pc） （827KB）（331）       Knowledge map    Save [Purpose/Significance] This paper aims to explore the impact of social bots on public opinion across various online environments in the era of smart media, to uncover the potential role of social bots in generating online public sentiment, and to provide reference suggestions for the management of online public sentiment. [Design/Methodology] Incorporating the Spiral of Silence theory and employing Agent-Based Modeling（ABM）simulation method, this paper constructed various network structures, including scale-free network, small-world network, random network, and real-world social network, to investigate the influence of social bots on public opinion expression at different stages. [Findings/Conclusion] If only a minority of social bots engage in public opinion dissemination, there is a high likelihood of triggering the spiral effect of silence. Furthermore, the variations in the online environment have an impact on the intervention of social bots in public sentiment. Additionally, social bots play a pivotal role in shaping the landscape of public opinion, and a certain proportion of justice-oriented social bots, in collaboration with the media, can effectively enhance the efficiency of public opinion guidance. [Originality/Value] Integrating the Spiral of Silence Theory with Agent-Based Modeling（ABM）simulation method, this paper analyzes how social bots can be utilized in intervening in and monitoring public sentiment within social networks. Related Articles | Metrics | Comments（0）

Select

Digital Disconnection: From Multiple Perspective to Implications for Library and Information Profession CHEN Huitong, YAN Hui Documentation, Informaiton & Knowledge    2025, 42 (2): 105-117.   DOI: 10.13366/j.dik.2025.02.105 Abstract （322）      PDF（pc） （459KB）（393）       Knowledge map    Save [Purpose/Significance] The network usage characteristic of "permanently online, permanently connected" not only brings users high efficiency and convenience, but also challenges the users' survival logic. More and more users have generated the willingness and demands for digital disconnection. Therefore, it is of great significance to clarify the concept of digital disconnection and sort out its research progress.[Design/Methodology] The article takes digital disconnection as the research object and combs through the related research progress at home and abroad in order to comprehensively reveal the research status and characteristics of digital disconnection.[Findings/Conclusion] The concept can be divided into four perspectives: digital inequality, digital capitalism, literacy, and empowerment. It also explores its relationship with related concepts such as technology non-use, media resistance, digital detox, digital minimalism, and social media fatigue. Four types of motivations and three practical dimensions of digital disconnection are summarized. Finally, we discuss the implications of digital disconnection to the infrastructure, institutional arrangements, platform construction, and professional ethics of library and information profession. [Originality/Value] This research comprehensively reviews the progress of digital disconnection, and provides references for information profession to adapt to the changes of the relationship between digital technology and human. Related Articles | Metrics | Comments（0）

Select

Beyond "Pre-scripted": The Interaction Mechanism Between Online Health Information Seeking Behavior and Health Anxiety from an Uncertainty Perspective JIN Yan, ZHANG Xiaohan, SUN Zhuo, YANG Ruixian, ZHAO Zuwei Documentation, Informaiton & Knowledge    2025, 42 (3): 105-117.   DOI: 10.13366/j.dik.2025.03.105 Abstract （311）      PDF（pc） （493KB）（272）       Knowledge map    Save [Purpose/Significance] This paper aims to explore the relationship between online health information search behavior and health anxiety, and the role mechanism of uncertainty factors in it, so as to provide a reference for individuals to alleviate health anxiety and manage health uncertainty. [Design/Methodology] A mixed-method approach combining empirical sampling method and post hoc interviews was used to study the action of users' health information search behavior in relation to their health anxiety, and to construct a process model of the uncertainty factors' evolution along with the search stage on this basis. [Findings /Conclusions] Users' individual cognitive uncertainty and uncertainty in the external information environment jointly contribute to the relationship between their online health information search and health anxiety, resulting in not only a single-dimensional linear link between the two, but also a cyclical and non-linear relationship. As the search process unfolds, the uncertainty factors in the nonlinear relationship show an evolutionary pattern, within which both the uncertainty factors affecting the search behavior and the significance of their roles vary at different stages of the information search process. In particularly, for individuals suffering from a disease, uncertainty may signify the hope of treatment and the chance of recovery. [Originality/Value] This study introduces uncertainty factors in the study of users' health information behavior, providing new perspectives and directions for better understanding the relationship between health information search behavior and health anxiety. Related Articles | Metrics | Comments（0）

Select

The Evolutionary Patterns of Group Consensus for Knowledge Co-creation in Online Health Communities YI Ming, XIONG Yutong, LIU Ming, ZHOU Yang Documentation, Informaiton & Knowledge    2025, 42 (3): 145-158.   DOI: 10.13366/j.dik.2025.03.145 Abstract （311）      PDF（pc） （560KB）（190）       Knowledge map    Save [Purpose/Significance] The essence of knowledge co-creation in online health communities（OHCs）lies in the improvement of disease treatment approaches through the gradual enhancement of group cognition and the formation of group consensus. This study aims to reveal the characteristics of group consensus evolution patterns and their key influencing factors at both macro and micro levels, thereby providing a basis for guiding and intervening in the knowledge co-creation process. [Design/Methodology] This study uses a data set comprising 16,822 valid comments extracted from 998 discussion posts in an OHC called "Yuaigongwu", spanning from January 2013 to August 2023. Firstly, to address the concealment of users' standpoint, a group consensus measurement method integrating semantic structure analysis is proposed. Secondly, on this basis, the evolution patterns of group consensus are identified and refined by employing the K-mediods and Dynamic Time Warping（DTW）algorithm. Finally, a predictive model based on the LightGBM algorithm is constructed to analyze and forecast the evolution patterns of group consensus in online health communities. [Findings/Conclusion] The research results show that the evolution patterns of group consensus in knowledge co-creation within OHCs can be abstracted into four categories: Initial Surge-Decay Pattern, Significant Fluctuation Pattern, Swift Surge-Stabilization Pattern, Stage-wise Incremental Pattern. Seven factors, such as negative emotion scores, topic quality, and credibility, have a relatively significant influence on the formation of group consensus evolution patterns in online health communities. Among them, topic quality and social attribute similarity play a particularly prominent role in promoting group consensus growth. For discussion posts with a Initial Surge-Decay Pattern, it is recommended to enhance group consensus by adopting concise topic expressions and encouraging participation from users with similar backgrounds. [Originality/Value] This study introduces a method for measuring group consensus that is applicable to knowledge co-creation in OHCs, and provides new expansion ideas for developing dynamic research on group consensus. Related Articles | Metrics | Comments（0）

Select

Designing the Task-oriented Multi-source Heterogeneous Healthcare and Senior Care Data Fusion Framework: Based on Data Affordance Perspective ZUO Meiyun, YAO Jinyu Documentation, Informaiton & Knowledge    2025, 42 (4): 41-54, 101.   DOI: 10.13366/j.dik.2025.04.041 Abstract （284）      PDF（pc） （597KB）（158）       Knowledge map    Save [Purpose/Significance] The promotion of the integration of healthcare and senior care services is crucial for developing of the silver economy and enhancing the satisfaction of the elderly. However, the current challenges in data integration of healthcare and senior care data include a low willingness among stakeholders to share data and insufficient exploration of effective data integration schemes. [Design/Methodology] Through literature review and theoretical analysis, this paper proposes a task-oriented multi-source heterogeneous healthcare and senior data fusion framework based on affordance-actualization theory. Then, the feasibility of the proposed framework is validated using real-world datasets. [Findings/Conclusion] This framework clarifies the types and collection methods of healthcare and senior care data resources, designs a elderly healthcare and nursing records hierarchical system that includes basic information, disease and symptoms, health status and daily care, and provides data provisioning schemes for six typical downstream tasks. [Originality/Value] The healthcare and senior data fusion framework proposed in this paper facilitates a full-chain integration process, ranging from data collection and fusion of healthcare and senior care institutions to serving downstream tasks, thereby providing both theoretical and practical support for the fusion of healthcare and senior care data. Related Articles | Metrics | Comments（0）

Select

Increasing Your Knowledge? The Impact of Multicommunication and Multimodal Display in Pan-knowledge Live Streaming on Users' Knowledge Adoption and Continuous Engagement JIA Mingxia, ZHANG Xiaoyu, ZHAO Yuxiang Documentation, Informaiton & Knowledge    2025, 42 (3): 131-144,158.   DOI: 10.13366/j.dik.2025.03.131 Abstract （281）      PDF（pc） （406KB）（546）       Knowledge map    Save [Purpose/Significance] As Internet users grow aesthetically fatigued with pan-entertainment videos, in the era of universal science popularization, pan-knowledge live streaming has gradually emerged as a new opportunity and growth point for various social media platforms. Exploring the interactive features in pan-knowledge live streaming and their impact on users' knowledge adoption and willingness to sustained participation can help promote the healthy development of live streaming-related industries and enhance the social coverage of knowledge. [Design/Methodology] This paper built a research model of users' knowledge adoption and continuous participation willingness based on the Means-End Chain（MEC）framework. The mobile experience sampling method was used to track the immediate response data of 55 live streaming users who utilized live streaming to acquire and adopt knowledge over 10 days. The model was validated using PLS-SEM, supplemented by semi-structured interviews to obtain key descriptions of events. [Findings/Conclusion] The findings uncover a double-edged effects of multicommunication and multimodal display in pan-knowledge live streaming, which impact users' knowledge adoption and willingness to sustained participation through both positive way（para-social interactions and vicarious learning）and negative way（fear of missing out and information hoarding）. Additionally, the knowledge adoption partially mediates the relationship between vicarious learning and continuous engagement intention, while also fully mediating the relationship between information hoarding and continuous engagement intention. [Originality/Value] These findings provides useful references for promoting knowledge popularization among the public in live streaming, as well as enrich the theoretical and practical implications of user knowledge adoption and engagement behaviors. Related Articles | Metrics | Comments（0）

Select

Documentation, Informaiton & Knowledge    2025, 42 (3): 1-1.   Abstract （280）      PDF（pc） （116KB）（526）       Knowledge map    Save Related Articles | Metrics | Comments（0）

Select

Documentation, Informaiton & Knowledge    2025, 42 (2): 1-1.   Abstract （279）      PDF（pc） （94KB）（846）       Knowledge map    Save Related Articles | Metrics | Comments（0）

Select

A Study on the Effectiveness of Combining ChatGPT with Plugins for Information Analysis FENG Haiying, CAO Ruye, CAO Shujin Documentation, Informaiton & Knowledge    2025, 42 (4): 102-112, 150.   DOI: 10.13366/j.dik.2025.04.102 Abstract （257）      PDF（pc） （1756KB）（124）       Knowledge map    Save [Purpose/Significance] To analyze the effectiveness of using ChatGPT and its plugins to empower information analysis, this paper explores the integration and development of information analysis and the new-generation AI technologies, providing references for the innovation and development of information analysis technologies and methods. [Design/Methodology] With the work domains of information analysis as the reference framework, the study designed eight experimental tasks in three categories, namely scientific information analysis, patent information analysis, and social information analysis. These tasks were completed by ChatGPT combined with plugins according to the prompts. Meanwhile, the completion effectiveness was comparatively evaluated using the research methods of information science. [Findings/Conclusion] ChatGPT can automatically process and analyze large amounts of data to improve the efficiency of information analysis, but it is still insufficient for highly specialized or complex analysis tasks. ChatGPT combined with plugins has distinct advantages in complex information analysis tasks, being able to handle tasks that ChatGPT itself can't accomplish, or cannot accomplish perfectly. [Originality/Value] This study comprehensively examines the application effectiveness of combining ChatGPT with its plugins for information analysis, thereby providing insights for the future development direction of the information analysis field. Related Articles | Metrics | Comments（0）

Select

Information Disclosure Quality in Public Health Emergencies from the Perspective of Public Expectation ZHANG Shuhan, LI Yuelin, LI Qiao, ZHANG Xiaotong Documentation, Informaiton & Knowledge    2025, 42 (3): 118-130.   DOI: 10.13366/j.dik.2025.03.118 Abstract （251）      PDF（pc） （362KB）（150）       Knowledge map    Save [Purpose/Significance] The aim of this study is to examine the dimensions and hierarchical characteristics of public expectations regarding the quality of information disclosure in public health emergencies, and to propose strategies for optimizing quality to better address the uncertain environment. [Design/Methodology] Based on the intrinsic commensurability between the information disclosure quality and its public expectation, this study identified potential indicators of public expectation of information disclosure quality in the context of public health emergencies. Then it collected questionnaire data via Kano model structure scale, employed factor analysis and Better-Worse coefficient analysis to reveal the dimensional and hierarchical features of public expectations for information disclosure quality. [Findings/Conclusion] The 22 potential indicators of public expectation of information disclosure quality that are capable of effectively characterizing the public expectation can be divided into three dimensions including usability, accessibility and credibility, which belong to different hierarchies of public expectation. According to the results, the "dimension-hierarchy" model of the public expectation of information disclosure quality is constructed. Finally, based on the model, an optimization path of "M→O→A→I" for the information disclosure quality in public health emergencies is put forward. [Originality/Value] This research focus on the perspective of public expectation, and apply the Kano model to the study of public expectation and combine dimension and hierarchy of expectation, which helps to provide theoretical support and practical guidance for optimizing the quality of public health emergency information disclosure. Related Articles | Metrics | Comments（0）

Select

Resistance in Symbiosis: A Study of the Nonlinear Relationship Between Algorithmic Anxiety and Algorithmic Avoidance Among Intelligent Recommendation Users ZHAN Nan, CHEN Yumeng Documentation, Informaiton & Knowledge    2025, 42 (4): 126-138.   DOI: 10.13366/j.dik.2025.04.126 Abstract （247）      PDF（pc） （537KB）（207）       Knowledge map    Save [Purpose/Significance] The phenomenon of algorithmic malpractice causes general algorithmic anxiety and even algorithmic crisis. Understanding the occurrence process and formation mechanism of user algorithmic coping behavior is helpful to the healthy development of artificial intelligence. [Design/Methodology] Based on the the coping theory, this study constructs a U-shaped influence model of algorithmic anxiety on algorithmic avoidance among intelligent recommendations users. A total of 351 valid questionnaires are collected through a survey, and data analysis and hypothesis testing are conducted using hierarchical regression analysis and the MEDCURVE macro program. [Findings/Conclusion] There is a U-shaped relationship between algorithmic anxiety and algorithmic avoidance, as well as between algorithmic resistance and algorithmic avoidance; algorithmic resistance plays a mediating role in the U-shaped relationship between algorithmic anxiety and algorithmic avoidance; algorithmic awareness positively moderates the relationship between algorithmic anxiety and algorithmic avoidance, making the U-shaped curve steeper when users have higher algorithmic awareness, and flatter when they have lower algorithmic awareness; algorithmic awareness does not moderate the effect of algorithmic anxiety on algorithmic resistance. [Originality/Value] This study clarifies the complex dynamic relationship between algorithmic anxiety and algorithmic coping behavior, providing a theoretical foundation and practical guidance for optimizing platform algorithmic services, implementing differentiated user management, and enhancing users' algorithmic adaptability, and thereby contributing to the development of the algorithmic application ecosystem. Related Articles | Metrics | Comments（0）

Select

Building Intelligence Infrastructure in the Context of Data Infrastructure: Concept, Value and Mission DING Botao Documentation, Informaiton & Knowledge    2025, 42 (3): 99-104.   DOI: 10.13366/j.dik.2025.03.099 Abstract （224）      PDF（pc） （255KB）（146）       Knowledge map    Save The newly established National Data Administration has proposed to promote the construction of data infrastructure, which has attracted widespread attention from all the country. This article analyzed the connotation of data infrastructure, and based on this, proposed the concept of intelligence infrastructure, and analyzed its connotation, background, and value. It was proposed that the information science community in China should deepen disciplinary innovation, accelerate practical exploration, strengthen policy voice, so as to promote further development of information science. Related Articles | Metrics | Comments（0）