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

Research Progress in Data Element Markets at Home and Abroad: A Systematic Literature Review WANG Xue, XIA Yikun, PEI Lei Documentation, Informaiton & Knowledge    2023, 40 (6): 117-128.   DOI: 10.13366/j.dik.2023.06.117 Abstract （1145）      PDF（pc） （402KB）（5714）       Knowledge map    Save [Purpose/Significance] A systematic review of data element market literature at home and abroad helps to deeply understand the structural composition and operational framework of data element market, grasp its key issues and main ideas, and reveal the current research progress and weaknesses, so as to provide theoretical and practical guidance for strengthening the construction of data element market in China. [Design/Methodology] Adopting the bibliometric analysis method and taking the literature related to the topic of data element market in Web of Science and CNKI as the analysis object, based on keyword co-occurrence and its temporal clustering, this paper analyzes the basic theory of data element market construction, operation mechanism and main viewpoints on the development of data trading institutions at home and abroad in conjunction with the text content. [Findings/Conclusion] Research shows that "data element market" is a hot issue of academic research at home and abroad, mainly focusing on the concept system of data elements, the core issues such as operation of the data element market and data trading platforms. Overall, the research is still in the exploratory stage of research, and there is no consensus on research involving data property rights, pricing, and regulation. The systematic and in-depth study of China's data element market still needs to be improved. [Originality/Value] This paper systematically sorts out the research progress of data element market at home and abroad, summarizes the research characteristics and development direction, which provides a reference for further research. Related Articles | Metrics | Comments（0）

Select

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 （1100）      PDF（pc） （449KB）（4364）       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）

Select

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 （1098）      PDF（pc） （530KB）（7153）       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）

Select

An Examination of AI Literacy Among University Students: Current Status and Multifaceted Influencing Factors ZHOU Qiong, XU Yaping, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 38-48.   DOI: 10.13366/j.dik.2024.03.038 Abstract （1015）      PDF（pc） （375KB）（3464）       Knowledge map    Save [Purpose/Significance] This study aims to delve into the current status of AI literacy among high education students and its correlation with practical application, attitude, interest, and other factors, explore the feasibility and measures for high education institutes to cultivate students' AI literacy in the era of AI, and provide empirical support and theoretical guidance for advancing AI literacy education. [Design/Methodology] Employing quantitative research approaches, this study conducts an analysis of the current AI literacy level among high education students and its correlation with their educational and training backgrounds, practical application experience, attitude, and interest through surveys and data analysis. This research design emphasizes the crucial role of practical experience in enhancing students' AI literacy level, and also examines the impact of factors such as educational backgrounds, disciplinary background, attitude, and interest on AI literacy from various perspectives. [Findings/Conclusion] In the digital era, practical experience plays a vital role in enhancing the AI literacy level of high education students. By actively engaging in the practical use of AI technologies or products, students can more effectively translate theoretical knowledge into practical skills and thereby comprehensively elevate their AI literacy level. Furthermore, there exists a positive correlation between students' positive attitudes, interests, and AI literacy. [Originality/Value] The study presents a targeted scale for assessing the AI literacy level of high education students and examines the factors influencing AI literacy. It lays the groundwork for future in-depth exploration of the correlation between practical application of AI and theoretical learning, as well as developing a tailored educational training framework. Related Articles | Metrics | Comments（0）

Select

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 （963）      PDF（pc） （417KB）（1364）       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）

Select

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 （958）      PDF（pc） （431KB）（6256）       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）

Select

Artificial Intelligence Literacy Education: Global Progress and Prospects ZHANG Jingbei, YU Chenlin, CAI Yingchun Documentation, Informaiton & Knowledge    2024, 41 (3): 15-26.   DOI: 10.13366/j.dik.2024.03.015 Abstract （815）      PDF（pc） （392KB）（3802）       Knowledge map    Save [Purpose/Significance] This paper aims to investigate and summarize the current status and trends of global AI literacy education for clarifying the present situation and deficiencies and propose strategies for optimizing the AI literacy education in universities. [Design/Methodology] The study explores the developmental trends of AI literacy education based on various research materials such as policy documents, conference records, and research papers released by international organizations and developed countries. It employs the Berry-picking model to analyze innovative initiatives in AI literacy education practices at 29 universities both domestically and internationally. [Findings/Conclusion] A clear boundary and interconnection exist between AI literacy education and AI education. The orientation of international policies plays a crucial role in promoting AI literacy education, yet there is a lack of a comprehensive framework for such education. In universities, the primary AI literacy education educators consist of colleges, learning development centers and libraries, with diverse forms to deliver educational content encompassing knowledge, skills, attitudes, and ethical values. To effectively conduct AI literacy education at universities, it is imperative to establish and optimize an educational framework, while leverage the key role of university libraries. This can be achieved through the implementation of diversified educational strategies, and the enrichment of educational content based on the KSAVE model. [Originality/Value] Based on the findings by providing insights into the international development trends of AI literacy education and analyzing current innovative practices implemented in universities, this paper proposes strategies for optimization AI literacy education, which provides valuable references and guidance for the promotion and implementation of AI literacy education in universities. Related Articles | Metrics | Comments（0）

Select

The Connotation, Value and Application of Data Elements in the Healthcare Field ZHU Qinghua, WANG Xi, ZHAO Yuxiang Documentation, Informaiton & Knowledge    2024, 41 (2): 13-17.   DOI: 10.13366/j.dik.2024.02.013 Abstract （773）      PDF（pc） （259KB）（1793）       Knowledge map    Save "The 'Data Elements ×' Three-Year Action Plan（2024—2026）", jointly issued by seventeen national departments, has attracted wide attention from the society. This article firstly examines the core issues, classification and significance of data elements in the healthcare field. Furthermore, the key strategies to promote the integration and innovative use of healthcare data are proposed, including enhancing the collection of healthcare data through technological empowerment, advancing the integration and standardization of healthcare data, promoting the openness and sharing of healthcare data, and strengthening the security protection of healthcare data. Related Articles | Metrics | Comments（0）

Select

Digital Inclusion: A Review of English Literature FU Xiwen, HUANG Siya Documentation, Informaiton & Knowledge    2023, 40 (4): 99-110,121.   DOI: 10.13366/j.dik.2023.04.099 Abstract （732）      PDF（pc） （430KB）（3088）       Knowledge map    Save [Purpose/Significance] Digital inclusion has become an important topic in the study of digital governance.This paper reviews the English literature on digital inclusion to provide a reference for domestic research and practice. [Design/Methodology] In this paper, 106 relevant English literatures were retrieved in the Web of Science database from 2010 to January 1,2022.Through integrating and evaluating these literatures by content analysis method, the distribution of research topics and shortcomings of these research were revealed and the future research direction was proposed. [Findings/Conclusion] The research topics of digital inclusion in English literature focus on the connotation, the influencing factors, the content and effect of practice, as well as the reflection and improvement of practice. There are some problems in the existing researches, such as oversimplified connotation, vague mechanism of occurrence, lack of effect research and insufficient operable improvement path. It is suggested that domestic research should strengthen the theoretical and empirical research on digital inclusion based on local reality from a multidisciplinary perspective. [Originality/Value] A relatively complete knowledge system of digital inclusion is proposed in this paper, providing references for the study and practice in the field of digital inclusion in China. Related Articles | Metrics | Comments（0）

Select

The Landscape of Social Science in the Era of Large Language Models XIE Tian, QIU Lin, LI Yutong, LUO Yin, LIU Pan Documentation, Informaiton & Knowledge    2023, 40 (6): 6-9,30.   DOI: 10.13366/j.dik.2023.06.006 Abstract （717）      PDF（pc） （266KB）（1373）       Knowledge map    Save Large language models（such as GPT）have brought unprecedented breakthroughs in the field of artificial intelligence. In this article, we briefly introduce large language models, and illustrate how such models have been applied in each stage of social science research, including literature review, theory formation, research design, data collection, and data analysis. We envision new research paradigms brought by large language models, and new challenges faced by social science researchers. Related Articles | Metrics | Comments（0）

Select

The Development Status and Prospects of New Public Cultural Spaces in China LI Si, ZHANG Haojue, CHEN Yi Documentation, Informaiton & Knowledge    2024, 41 (4): 6-13.   DOI: 10.13366/j.dik.2024.04.006 Abstract （714）      PDF（pc） （333KB）（2386）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to reveal the current development status of new public cultural spaces in China from multiple dimensions, and provide theoretical references for the high-quality development of new public cultural spaces in period of the 15th Five-Year Plan. [Design/Methodology] Using field research, macro data, and case texts as data sources, this study extracted information on construction methods, spatial creation, operational mode, management mode, and service content, to form concepts and types, and summarize existing problems [Findings/Conclusion] With public libraries and cultural centers as the main construction entities, China undertakes the construction of a new type of public cultural spaces on the basis of the total branch library system. New construction, renovation, and embedding are the main construction approaches of new public cultural spaces, and spatial value is the core value. The transformation of new public cultural spaces has driven the transformation of operation, management and service.. In the future, the new type of public cultural space should be deeply connected with existing public cultural facilities, while forming a staggered development.We should strengthen the construction of new public cultural spaces in rural areas, improve the level of service specialization,and enhance sustainable development capabilities. [Originality/Value] Using multi-source data, this paper reveals the current development status of new public cultural spaces in China from a macro perspective, and proposes development suggestions for the 15th Five-Year Plan. Related Articles | Metrics | Comments（0）

Select

Have You Been to Xiaohongshu Today? Topic Extraction and Motivation Analysis of User Information Sharing in Online Communities LIU Yang, DUAN Yujie, ZHANG Xin, DONG Yifei, HU Xiuying Documentation, Informaiton & Knowledge    2024, 41 (4): 110-120,145.   DOI: 10.13366/j.dik.2024.04.110 Abstract （713）      PDF（pc） （888KB）（2959）       Knowledge map    Save [Purpose/Significance] This study aims to quantitatively analyze the themes of user-generated content on the Xiaohongshu platform, with the goal of improving the content quality of social media platforms and promoting their healthy development. [Design/Methodology] Based upon the Censydiam motivation analysis model, this study utilizes the BERTopic topic extraction method to construct a framework for researching the themes and motivations behind information sharing in online communities. The study focuses on the Xiaohongshu platform, collecting 3,688,942 pieces of user-generated content to analyze the users' motivations behind information sharing across different themes. [Findings/Conclusion] The themes of information sharing by Xiaohongshu users primarily encompass life experiences, shopping, and food. By precisely pinpointing these themes using the Censydiam model, the study reveals that users' primary needs include a sense of belonging and identification with social groups, social integration and communication, as well as seeking enjoyment and relaxation. Therefore, the platform should place greater emphasis on maintaining alignment with the overall social media environment and ensuring a consistent social tone to reflect care for the user community and enhance their sense of belonging. [Originality/Value] This study is based on textual data from the Xiaohongshu online community, verifying the feasibility of the research framework and offering new insights and methods for the analysis and development of online communities. Related Articles | Metrics | Comments（0）

Select

Constructing Content Framework for Artificial Intelligence Literacy Instruction in China from a Global Perspective HUANG Ruhua, SHI Leyi WU, Yingqiang CHEN, Tian Documentation, Informaiton & Knowledge    2024, 41 (3): 27-37.   DOI: 10.13366/j.dik.2024.03.027 Abstract （658）      PDF（pc） （386KB）（3982）       Knowledge map    Save [Purpose/Significance] The aim of this study is to construct a more universal and novel content framework for artificial intelligence literacy（AIL）instruction. [Design/Methodology] We referenced globally influential AIL frameworks, reports from international organizations, international standards, policies of several leading countries（regions）, China's national strategic needs, employers' demands for AI talent, academic papers, trends from globally renowned enterprises, and the content of existing AIL education courses. Through this, the composition and basis of the AIL instruction content framework were analyzed. [Findings/Conclusion] The AIL instruction content framework in China is composed of four major parts: AI cognition, AI skills, AI application, and AI ethics. [Originality/Value] Unlike similar domestic achievements that mainly derive AIL frameworks from academic papers, this study integrates global academic data from multiple sources to construct an AIL instruction content framework that is both operational and valuable for practical guidance. Related Articles | Metrics | Comments（0）

Select

Media Presentation and Risk Management of Generative AI Within Traditional Culture Communication ZHANG Kui, WANG Xiuwei Documentation, Informaiton & Knowledge    2024, 41 (4): 98-109.   DOI: 10.13366/j.dik.2024.04.098 Abstract （655）      PDF（pc） （442KB）（2733）       Knowledge map    Save [Purpose/Significance] The emergence of Generative AI as a new media form, plays a dual impact on the reshaping the media structure and the social context of traditional cultural communication. Researching on media presentation and risk management of Generative AI holds significance in facilitating intelligent dissemination of traditional cultural, fostering digital humanities with distinct Chinese characteristics, and constructing modern Chinese civilization. [Design/Methodology] By using participatory observation and case analysis, combined with relevant theories of media science and semiotics, this study explores the application of Generative AI in the field of traditional cultural communication from three dimensions of media presentation, risk factors and risk governance. [Findings/Conclusion] Generative AI has a complex impact on the dissemination of traditional culture in media material, media interaction, media symbols, media time, media space and other aspects, and there are risks such as insufficient cultural accuracy, authenticity and completeness, cultural value conflicts and creativity reduction, cultural bias and inequality, infringement and excessive commercialization, etc. This requires the collaborative governance participated by multiple stakeholders such as regulatory agencies, service providers, cultural heritage units and users. [Originality/Value] This paper examines the theoretical rationale behind traditional cultural communication from the perspective of Generative AI, and proposes multi-party collaborative governance strategies for potential risks. Related Articles | Metrics | Comments（0）

Select

Free Exploration or Organized Research: Connotation, Types and Characteristics of Interdisciplinary Research Collaboration ZENG Yueliang, SI Li Documentation, Informaiton & Knowledge    2023, 40 (4): 81-91,51.   DOI: 10.13366/j.dik.2023.04.081 Abstract （605）      PDF（pc） （398KB）（1546）       Knowledge map    Save [Purpose/Significance] Systematic analysis of the connotation, types and characteristics of interdisciplinary research collaboration will provide reference for related practice and theoretical research and better promote knowledge innovation. [Design/Methodology] Adopting the method of literature analysis and network survey, this paper analyzes the concepts of interdisciplinary, interdisciplinary research and research collaboration, puts forward the connotation of interdisciplinary research collaboration, and summarizes its types. [Findings/Conclusion] From the perspective of organizational structure and operation, in the current research environment, interdisciplinary research collaboration can be divided into three types according to the motivation and scale of the collaboration, namely, individual demand-driven collaboration, research project-based collaboration, and collaboration within the organization of interdisciplinary research entities. Each of these types has different characteristics and application scenarios. Combined with the "Organized Research" strategy, the study assumes that individual demand-driven collaboration highlights the characteristics of free exploration and is a basis and flexible mode of independent innovation for researchers, however, in terms of organizational management and effectiveness guarantee, the research project-based collaboration and collaboration within organizations of interdisciplinary research entities are more in line with the complicated trends of scientific research and the needs of social development in the new era. [Originality/Value] The basic theoretical analysis of interdisciplinary research collaboration in this paper will lay the foundation for its further in-depth research and organizational management practices. Related Articles | Metrics | Comments（0）

Select

Application Scenarios, Risk Challenges and Regulatory Pathways of Generative Intelligent Publishing ZHANG Xinxin, HUANG Ruhua Documentation, Informaiton & Knowledge    2023, 40 (5): 77-86,27.   DOI: 10.13366/j.dik.2023.05.077 Abstract （588）      PDF（pc） （429KB）（876）       Knowledge map    Save [Purpose/Significance] The emergence of ChatGPT and its generative AI technology has given rise to a new industry of generative intelligent publishing. The multidimensional exploration on generative intelligent publishing can reveal its application scenarios, risk challenges, and regulatory paths. [Design/Methodology] Based on the technical application principles and application characteristics of generative AI technology, this study explores the application scenarios, risk challenges, and regulatory paths of generative intelligent publishing. [Findings/Conclusion] The application scenarios of generative intelligent publishing include five categories: publishing big data and large language models, dimensional development of intelligent knowledge services, intelligent robots in the field of intelligent decision-making publishing, generative intelligent publication, and new business formats of metaverse publishing.Generative intelligent publishing faces challenges in data source and data output, academic ethical norms, adherence to core values, and substitution of human occupations, etc. In view of these challenges,corresponding regulatory paths are proposed from the perspective of regulation and governance. [Originality/Value] In the face of the digital age empowered by generative AI technology, it is of great significance to explore its enabling role and deep impact on publishing for promoting the high-quality development and modernization of publishing. Related Articles | Metrics | Comments（0）

Select

An Exploratory Study of Digital Reverse Mentoring Based on Grounded Theory from the Youth’s Perspective SHENG Manyu, WANG Jun, ZHU Xixi, ZHANG Pengyi Documentation, Informaiton & Knowledge    2023, 40 (4): 52-61.   DOI: 10.13366/j.dik.2023.04.052 Abstract （571）      PDF（pc） （386KB）（2946）       Knowledge map    Save [Purpose/Significance] This paper introduces the "Informatics Moments" into the scenario of family, dedicating to explore the mechanism of digital reverse mentoring, and providing suggestions for bridging the digital divide and promoting intergenerational interactions.[Design/Methodology] Twenty college students were recruited for interviews to examine the specific process of teaching their parents to use digital devices and the data analysis was conducted using the grounded theory. [Findings/Conclusion] The triggering mechanism, specific behavior and results of digital reverse mentoring are revealed. The difficulties and their solutions in the process are pointed out. [Originality/Value] This paper is no longer limited to explore the influencing factors, but deeply study the specific elements and their relationships of digital reverse mentoring, and constructs a model of digital reverse mentoring mechanism. Related Articles | Metrics | Comments（0）

Select

A Review on Policy Text Research: From Content Computation to Function Comprehension HU Jiming Documentation, Informaiton & Knowledge    2023, 40 (4): 145-152.   DOI: 10.13366/j.dik.2023.04.145 Abstract （544）      PDF（pc） （331KB）（4759）       Knowledge map    Save [Purpose/Significance] The purpose of this paper is to systematically summarize and refine the research themes and directions of policy text from the perspective of content mining . It will benefit to grasp trend and promote innovation of policy text research. [Design/Methodology] Taking domestic and foreign research articles as samples, a systematic review was conducted to elaborate the research advances of policy texts, and the key points of follow-up development were looked forward on the basis of the assessment. [Findings/Conclusion] Driven by the research on policy quantification and informatics based on multidisciplinary integration, the computational science system of policy text research has gradually developed. Meanwhile,with the support of big data, deep learning and artificial intelligence, research on computing and sematic mining of policy text has been continuously deepened. And the research on text function comprehension and inference also rises further and has received more attention.The research system of policy text is supported on multiple levels by theory, methodology and technology. Research on its internal logic and social application will be strengthened. [Originality/Value] This paper summaries the advance of policy research on the level of text content and reveals the current themes and development directions of policy development directions.This will further enrich the theoretical and practical system of policy research. Related Articles | Metrics | Comments（0）

Select

Narrative Expression, Media Presentation and Practical Path of Digital Humanities from the Perspective of Gamification Narratives LIU Ke, LIU Rui Documentation, Informaiton & Knowledge    2023, 40 (5): 118-126.   DOI: 10.13366/j.dik.2023.05.118 Abstract （536）      PDF（pc） （480KB）（2083）       Knowledge map    Save [Purpose/Significance] This paper analyzes the current status of digital humanities projects in China in terms of the number and content, and explores the driving and reforming effect of gamification narratives on digital humanities, as well as the feasibility of applying gamification narratives to digital humanities. [Design/Methodology] Based on teasing out the concept and core elements of gamification narratives, this paper elucidated gamification narratives in digital humanities projects with case analysis from two dimensions of narrative expression and media presentation. [Findings/Conclusion] The paper puts forward the practical path of gamification narratives in digital humanities from four aspects: mining characteristic cultural genes, constructing open narrative text, improving feedback loops in platforms, and designing multi-media matrix. [Originality/Value] Gamification narratives provide a new perspective for digital humanities projects development, and enrich the development concepts and methods of current digital humanities projects. Related Articles | Metrics | Comments（0）

Select

The Composition and Connotation of Farmers’ Digital Literacy Framework Under the Background of Digital Rural Construction LI Chunqiu, ZHANG Meng, ZHANG Qian, SONG Jia, ZHAO Shengnan Documentation, Informaiton & Knowledge    2023, 40 (3): 62-71.   DOI: 10.13366/j.dik.2023.03.062 Abstract （526）      PDF（pc） （400KB）（537）       Knowledge map    Save [Purpose/Significance] Based on the digital needs of farmers, it is of great significance to clarify the composition and connotation of farmers' digital literacy framework for improving farmers' digital literacy, conducting the farmers' digital literacy training and improving farmers' sense of gain and happiness in digital production and life. [Design/Methodology] Based on Maslow's Hierarchy of Needs Theory, this paper analyzes the main foreign digital literacy frameworks, takes the Global Digital Literacy Framework as the base, combines the policies and reports related digital rural construction and farmers' digital literacy, as well as the needs and characteristics of digital farmers, proposes the digital literacy framework for farmers, and interprets its connotation in detail. [Findings/Conclusion] This paper proposes a farmer-oriented digital literacy framework consisting of five dimensions namely farmer digital general literacy, farmer digital security ethics literacy, farmer digital communication literacy, farmer digital creation literacy and farmer digital problem-solving literacy and 26 secondary indexes under these five dimensions. [Originality/Value] Under the background of digital rural construction, the proposed farmers' digital literacy framework and the explanation of its connotation in this study will provide direction for the promotion of farmers' digital literacy. Related Articles | Metrics | Comments（0）

Select

The Features, Theoretical Framework and Research Prospects of AI-enabled Surrogate Information Searching: A Sociotechnical System Paradigm SONG Xiaokang, ZHAO Yuxiang, SONG Shijie, ZHU Qinghua Documentation, Informaiton & Knowledge    2023, 40 (4): 111-121.   DOI: 10.13366/j.dik.2023.04.111 Abstract （522）      PDF（pc） （404KB）（2103）       Knowledge map    Save [Purpose/Significance] ChatGPT is an application upgrade of AI generated content（AIGC）, which can act as a social actor to help users search for and generate their required information. This paper aims to summarize and prospect the features and theoretical framework of AI-enabled surrogate information searching. [Design/Methodology] Firstly, by combing the development process of surrogate information searching, this paper analyzes the connotation and characteristics of AI-enabled surrogate information searching. Then, based on the paradigm of sociotechnical system,we explore the theoretical framework of AI-enabled surrogate information searching. [Findings/Conclusion] It is found that the AI-enabled surrogate information searching is based on a ternary relationship group of "information demanders - AI algorithms - online information resources", which achieves the acquisition, integration, and presentation of informationthrough human-AI collaboration.This paper constructs a theoretical framework of AI-enabled surrogate information searching from four aspects: technology, information, users, and social culture. It also points out that the possible future research directions include trust and information credibility research, user adoption and user experience research, application research under the scenarios of information services and knowledge supply, and user algorithm literacy education research,etc. [Originality/Value] The research on AI-enabled surrogate information searching can help enrich the theory of user information behavior and information services in the era of digital intelligence and provide reference for future research and practice. Related Articles | Metrics | Comments（0）

Select

Developing an Evaluation Index System and Its Testing Questions for Government Intelligent Q&A Systems WANG Fang, WEI Zhonghan, LIAN Zhixuan Documentation, Informaiton & Knowledge    2023, 40 (6): 98-111.   DOI: 10.13366/j.dik.2023.06.098 Abstract （489）      PDF（pc） （439KB）（4693）       Knowledge map    Save [Purpose/Significance] Intelligent question and answer（Q&A）system is becoming an important facility for public services delivery. The purpose of this study is to promote the construction of government intelligent Q&A systems by evaluation, and reduce the administrative burden of citizens. [Design/Methodology] Firstly, based on literature research, theoretical analysis and case study, an evaluation indicator system for government intelligent Q&A system was constructed, and the indicator weight was determined by expert survey and AHP method. Secondly, a testing question set for problem solving quality was developed based on the hot consultation issues. Finally, 30 provincial government Q&A systems in China were evaluated with the indicator system and the matched questions. [Findings/Conclusion] The evaluation index system of government intelligent question and answering system includes three dimensions, namely, the quality of problem solving, the quality of service interaction, and the quality of infrastructure construction, as well as 18 refined indicators, such as the rate of high-frequency question answering, the rate of synonymous question answering, and the number of interactions. The testing question set includes five categories of questions: high-frequency, synonymous, error, ellipsis, and English ones. The practical evaluation proves the usability and effectiveness of the indicator system and testing questions set. [Originality/Value] This study constructs an evaluation index system for government intelligent Q&A systems from the perspective of reducing administrative burden, compiles testing question sets using text mining technique, and proves their usability through an actual evaluation. Related Articles | Metrics | Comments（0）

Select

How to Get Out of AIGC's "Collingridge Dilemma": Full Process Dynamic Data Compliance Governance ZHANG Chunchun, SUN Ruiying Documentation, Informaiton & Knowledge    2024, 41 (2): 39-49,66.   DOI: 10.13366/j.dik.2024.02.039 Abstract （485）      PDF（pc） （440KB）（907）       Knowledge map    Save [Purpose/Significance] The rapid development of AIGC has brought many security risks and regulatory problems in cyberspace. The establishment of a full process dynamic data compliance governance mechanism in line with the development trend of AIGC will help AIGC go out of the "Collingridge dilemma". [Design/Methodology] In this article, based on sorting out the enabling and safeguarding relationship between AIGC and data governance, as well as analyzing AIGC's "Collingridge Dilemma" regulation game in the international practical experience of AIGC regulation, the path of innovative development and regulation of AIGC is explored. [Findings/Conclusion] Whether it is the stringent regulation imposed by the EU, the cautious regulation of China or the industry self-discipline of the United States, the limitations of regulation become evident in different dimensions. We can adapt the dynamic development trend of AIGC through employing the dynamic regulation means of the whole process, and we can establish the full process dynamic regulation mechanism of AIGC based on data compliance governance to get out of the AIGC's dilemma. [Originality/Value] The AIGC dynamic regulatory mechanism based on data compliance governance can continuously improve the regulatory system and tools, and provide ideas for the specific application fields of AIGC related technologies. Related Articles | Metrics | Comments（0）

Select

Research Progress on Integration Development of Public Cultural Services and Tourism at Home and Abroad WANYAN Dengdeng, YIN Jiao, LIU Wenyan Documentation, Informaiton & Knowledge    2024, 41 (1): 92-101.   DOI: 10.13366/j.dik.2024.01.092 Abstract （484）      PDF（pc） （364KB）（1148）       Knowledge map    Save [Purpose/Significance] This study aims to summarize the research progress of the integration development of public cultural services and tourism at home and abroad, and to provide references for the future research. [Design/Methodology] The article uses the methods of keywords search and citation tracing to systematically collect the relevant literatures at home and abroad and summarizes the research topics through detailed reading and analysis of the contents of these literature. [Findings/Conclusion] The foreign research topics include five aspects: the interaction between public cultural services and tourism, the tourism potential and limitations, tourism services, tourism models of public cultural venues, and the evaluation of the integration development of public cultural venues and tourism. The domestic research topics include five aspects: the relationship between public cultural services and tourism, the function expansion, the resource construction, the service provision of public cultural venues under the background of cultural and tourism integration, and the integrated development model of public cultural services and tourism. This paper compares domestic and foreign studies and puts forward some suggestions for the future development of our country. [Originality/Value] This article sorts out and reviews relevant literature on the integration of public cultural services and tourism at home and abroad, and draws out the aspects of the foreign research that are worthy we reference. Related Articles | Metrics | Comments（0）

Select

Survey Report on MLIS Program Development in China（2022） DUAN Yufeng, SHANG Duxin Documentation, Informaiton & Knowledge    2023, 40 (6): 52-60.   DOI: 10.13366/j.dik.2023.06.052 Abstract （479）      PDF（pc） （322KB）（332）       Knowledge map    Save [Purpose/Significance] In 2022, the Education Steering Committee Secretariat of MLIS has conducted the tenth 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 investigated MLIS education institutions to collect the data about faculty, enrolment, cultivation and employment through questionnaires, and demonstrated the status of development of MLIS education by comparing with historical data. [Findings/Conclusion] The survey report of 75 MLIS training institutions indicates a stable and rapid development of the MLIS education in China, which is demonstrated by the steady growing number of faculty, small drop in enrolment numbers, the optimistic employment situation of graduates, and the increasing standardization of the set of curriculum system, the construction of educational resource and the management of culturing process of each training unit. [Originality/Value] The reports on the development of MLIS education in China have been consecutively published for ten years. Compared with previous surveys, this survey report additionally extracted the main content of "Basic Requirements for Professional Dissertation of Master of Library and Information Science". Related Articles | Metrics | Comments（0）

Select

Offspring’s Education, Feedback Paths and the Digital Access Divide of the Elderly LI Yunqiu, LI Si Documentation, Informaiton & Knowledge    2023, 40 (4): 62-71.   DOI: 10.13366/j.dik.2023.04.062 Abstract （475）      PDF（pc） （399KB）（927）       Knowledge map    Save [Purpose/Significance] This paper aims to study the relationship between offspring's education level, digital feedback paths and the digital access divide of the elderly, to propose strategies and recommendations to bridge the digital access divide of the elderly, so as to promote the integration of the elderly into the digital society. [Design/Methodology] Based on the data of the China Family Panel Studies（CFPS）, the matching samples of offspring and parents were screened, logistic regression and mediation effect analysis models were constructed, and then the method of propensity score matching was used to overcome endogenous problems. [Findings/Conclusion] It is found that parents whose offspring have junior college education or the education level higher than junior college, are more likely to receive intergenerational support resources then cross the digital access divide. Offspring's education level is particularly important for families in which parents both have digital access gap. The offspring's education level can influence the digital access divide of the parents through three paths: digital device feedback, digital skill feedback and digital concept feedback, which improve the digital access dilemma of the elderly who "unaffordable to access", "unable to access" and "unwilling to access" respectively. Among them, digital skill feedback is the most important mediating mechanism, followed by digital concept feedback, with digital device feedback being the least impact as a mediating mechanism. Accordingly, strategic suggestions are proposed to bridge the digital access divide of the elderly. [Originality/Value] From the perspective of intergenerational support, this paper focuses on digital access inequality of the elderly caused by different level of offspring's education, which provides practical ideas for bridging the digital access divide of the elderly. Related Articles | Metrics | Comments（0）

Select

Identification Methods of Artificial Intelligence Generated Content in Online Communities DENG Shengli, WANG Fan, WANG Haowei Documentation, Informaiton & Knowledge    2024, 41 (2): 28-38,149.   DOI: 10.13366/j.dik.2024.02.028 Abstract （473）      PDF（pc） （545KB）（583）       Knowledge map    Save [Purpose/significance] Generative artificial intelligence will cause a certain degree of AI information pollution in online communities. The various AIGC identification methods studied in this paper are of great significance to prevent the negative impact of rapidly evolving generated artificial intelligence. [Design/Methodology] This paper first constructed a HAC data set in multiple online community platforms with 54 major categories of topics of Sina Weibo, which contained 100,873 pieces of information written by humans and generated artificial intelligence respectively. Then it explored whether the current 6 kinds of mainstream deep learning and 7 kinds of machine learning methods can identify whether the information in the online community was written by human beings or generated by artificial intelligence. Finally, the BEM-RCNN method was proposed to further improve the recognition of AIGC precision. [Findings/Conclusion] From the perspective of constructed data set, it is found that generated artificial intelligence has a strong "human-like expression", which can simulate human beings to post and reply on social media platforms. The experimental results show that the method proposed in this paper has an accuracy of 96.4%, which can well identify whether the content on the online community is written by humans or AI. It is superior to the 13 other mainstream methods such as BERT, ERNIE, and TextRNN in terms of precision, recall rate, F1-value, and accuracy, verifying its performance advantages. At the same time, many exploratory experiments have also proved that although the current mainstream machine learning methods are less accurate than the method in this paper, they can also be competent for some AIGC recognition tasks. [Originality/Value] Multiple methods are used in this paper to identify AIGC on social media, and prevent information pollution caused by generative artificial intelligence on social media platforms. Related Articles | Metrics | Comments（0）

Select

Influencing Mechanism of User Satisfaction of Mobile Government APPs Based on ISM-MICMAC Model CHEN Ting, ZHU Yongdi, DUAN Yaoqing Documentation, Informaiton & Knowledge    2023, 40 (4): 134-144.   DOI: 10.13366/j.dik.2023.04.134 Abstract （473）      PDF（pc） （495KB）（1477）       Knowledge map    Save [Purpose/Significance] This study aims to clarify the influencing mechanism of user satisfaction for mobile government APPs, provide improvement suggestions for the sound development of mobile government APPs, and help enhance the people's sense of fulfillment and the government's capacity for governance. [Design/Methodology] From the perspective of perceived value, the method of content analysis was used to summarize the influencing factors of user satisfaction from the negative comments of users on mobile government APPs. The Explanatory Structure Model（ISM）was used to reveal the hierarchical relationship among factors, and the Cross-Impact Matrix Multiplication Applied to Classification Model（MICMAC）was used to explain and verify these relationships. [Findings/Conclusion] A total of 22 influencing factors on user satisfaction of mobile government Apps in three dimensions of perceived functional value, perceived interaction value and perceived risk value were determined.According to the ISM model, 22 factors were divided into three levels: surface, middle and bottom,and these influencing factors were further divided into three groups: independent, autonomous and dependent based on MICMAC. [Originality/Value] This paper reveals the influencing mechanism of user satisfaction for mobile government APPs, enriches the specific content and application field of the theory of perceived value, and provides effective suggestions for the development of mobile government. Related Articles | Metrics | Comments（0）

Select

Security Governance of Cross-Border Data Flow Under the Holistic View of National Security XU Yongjun, WANG Xingguang Documentation, Informaiton & Knowledge    2023, 40 (6): 20-30.   DOI: 10.13366/j.dik.2023.06.020 Abstract （471）      PDF（pc） （398KB）（1123）       Knowledge map    Save [Purpose/Significance] In the information age with accelerated reconstruction of the global pattern, economic globalization and network globalization are advancing in depth, giving rise to the practice of increasingly frequent cross-border data flow. Strengthening the security governance of cross-border data flow is the proper meaning of implementing the holistic view of national security and promoting the modernization of national security systems and capabilities for China. [Design/Methodology] Using literature research, policy text analysis, case studies and other methods, this research deeply explored the practical difficulties and coping strategies faced by China's cross-border data flow security governance. [Findings/Conclusion] The real dilemmas of China's cross-border data flow security governance are manifested in: the merger of multiple laws, discrete supervision, complex risks and jurisdictional conflicts. Guided by the holistic view of national security, the action strategies to promote the security governance of cross-border data flow include: adhere to the concept of bottom line security, and improve the legal regulation system of cross-border data flow; utilize the concept of common security, and coordinate the security supervision of cross-border data flow; use the concept of overall security, and improve the efficiency of risk management and control of cross-border data flow; practice the concept of international security, and contribute Chinese solutions to global data security governance. [Originality/Value] It points out the practical approach for China to prevent and resolve the non-traditional security risks caused by disorderly cross-border flow of data and strengthen the security governance of cross-border data flow under the background of China's comprehensive implementation of the holistic view of national security. Related Articles | Metrics | Comments（0）

Select

Academic Literature Data Sets Towards the AI Era: Characteristics and Development Direction ZHANG Tongyang, WANG Chuhan, YU Chao, XU Jian Documentation, Informaiton & Knowledge    2023, 40 (5): 39-49.   DOI: 10.13366/j.dik.2023.05.039 Abstract （470）      PDF（pc） （435KB）（1473）       Knowledge map    Save [Purpose/Significance] Driven by the application development of artificial intelligence technologies, academic literature datasets are playing an increasingly important role in the field of scientometrics. Developing from traditional data collections oriented to information supply to knowledge resources that assist in knowledge discovery and relationship network construction nowadays, every aspect of the function of data sets have been greatly improved, which in turn provides support for expanding the depth and breadth of research in scientometrics. [Design/Methodology] The article uses journal articles published by Scientometrics in 2016-2020 as the data source. Through the analysis of the data sets usage records of scientometrics research, the overall use of the data sets is summarized, and the relationship between the usage popularity of the data sets and the number of documents is explored. In terms of typical data sets that have been frequently used, the article specifically analyzes their characteristics, explores the impact of artificial intelligence technology on datasets and looks forward to its future construction direction. [Findings / Conclusion] There is a certain positive correlation between the usage frequency of datasets and their collection volume, the same study tends to cross use multiple datasets, and the relationship between scientometrics research and artificial intelligence technology is getting increasingly close. [Originality/Value] The purpose of this study is to summarize the construction and development rules of data sets in recent years by analyzing the striking features of data sets used in scientometrics related papers, so as to provide references for the selection of data sets for scientometrics research. Related Articles | Metrics | Comments（0）

Select

Experts’ Opinions: The Impact of the Establishment of the National Data Bureau on the Future of Big Data DING Botao, CHEN Cai, GAO Feng, LU Yong, GE Liang, SHENG Xuefeng, CHEN Dingquan Documentation, Informaiton & Knowledge    2023, 40 (3): 13-24.   DOI: 10.13366/j.dik.2023.03.013 Abstract （465）      PDF（pc） （330KB）（1363）       Knowledge map    Save Related Articles | Metrics | Comments（0）

Select

Research Progress and Prospect of Rural Public Digital Cultural Services in Recent Decade PAN Ying, ZHENG Jianming Documentation, Informaiton & Knowledge    2023, 40 (3): 38-51.   DOI: 10.13366/j.dik.2023.03.038 Abstract （451）      PDF（pc） （485KB）（861）       Knowledge map    Save [Purpose/Significance] This paper intends to review the current research distribution status of rural public digital cultural services at home and abroad in the past ten years, analyze the research themes, and summarize the research process and development trend. [Design/Methodology] Using the method of literature research and visualization, this paper revealed the authors' distribution, disciplines' distribution and the distribution of projects supported by National Social Science Fund, and analyzed five themes: service facilities, service resource construction, service equalization, service utilization and service project research. [Findings/Conclusion] A core group has been formed in this field, the research distribution is mainly based on library and information science and in collaboration with other disciplines. However, the number of projects addressing macro-level issues is insufficient and systematic results are lacking. The topics such as standardization, socialization and construction management of rural public digital cultural services, the construction of digital resources, and the role of rural production and life need to be further deepened. [Originality/Value] This work sorts out the progress of rural public digital cultural services at home and abroad from the aspects of research distribution and research themes, summarizes the research progress and future development direction, which provides a reference for further research. Related Articles | Metrics | Comments（0）

Select

A Review on Health Digital Divide Across the World YANG Yanbin MA Chengyu Documentation, Informaiton & Knowledge    2024, 41 (3): 154-166.   DOI: 10.13366/j.dik.2024.03.154 Abstract （447）      PDF（pc） （423KB）（1963）       Knowledge map    Save [Purpose/Significance] This paper aims to analyze the current state of research on the health digital divide, both domestically and internationally, sort out the research framework of the health digital divide, so as to provide a useful reference for scholars looking to carry out further research in this field. [Design/Methodology] 77 English and 17 Chinese literatures were selected through subject search and manual screening, and the systematic review was used to examine the research topics and methods of the health digital divide. The paper concludes by presenting future research directions and prospects for the health digital divide. [Findings/Conclusion] Through literature review, we propose the framework of the health digital divide,reveals the research status of the health digital divide, summarizes three performance dimensions, four major influencing factors, two major impacts, and four major intervention measures of the health digital divide. [Originality/Value] Through this comprehensive review, we have revealed the current state of research and future development directions on the health digital divide, providing a theoretical foundation for promoting health digital equity. Related Articles | Metrics | Comments（0）

Select

Survey Report on the Development Status of Undergraduate Degree Education in Big Data Management and Application（2023） DENG Shengli, WANG Fan, XIA Sudi Documentation, Informaiton & Knowledge    2024, 41 (1): 69-79,101.   DOI: 10.13366/j.dik.2024.01.069 Abstract （446）      PDF（pc） （646KB）（2763）       Knowledge map    Save [Purpose/Significance] This paper conducts a nationwide survey on the development status of undergraduate education of Big Data Management and Applications, with the aim of reflecting its development trends and proposing corresponding suggestions. [Design/Methodology] This study systematically dissected the current situation of the undergraduate education of Big Data Management and Applications in China from six dimensions, including institutions, faculty, enrollment, employment, curriculum system, and training objectives, and reflected the development trends of this major by comparing with previous years. [Findings/Conclusion] As of December 2022, the number of institutions offering this major has reached 183. Most institutions adjust their teaching according to social demands and their own positioning, gradually form their own characteristics while emphasizing professional practice. In addition, the curriculum system of most training institutions do not fully match the training objectives, and courses on big data management and big data applications need to be added. [Originality/Value] This study provides a comprehensive and in-depth analysis of the undergraduate programs in Big Data Management and Applications across the country, reflecting the current development status and existing issues of this major. It serves as a valuable reference for the sustainable development of such specialties. Related Articles | Metrics | Comments（0）

Select

A New Approach for Information Resources Management Empowered by Data Intelligence: The Concept, Connotation and Development of Instruction Engineering LU Wei, WANG Lei, CHENG Qikai, LIU Jiawei, HUANG Yong Documentation, Informaiton & Knowledge    2024, 41 (1): 6-11.   DOI: 10.13366/j.dik.2024.01.006 Abstract （444）      PDF（pc） （302KB）（2232）       Knowledge map    Save The emerging wave of scientific revolution and industrial transformation is burgeoning, with technologies such as big data and artificial intelligence exerting a profound impact on the information resources management discipline. Under the background of large language models（LLMs）, instruction engineering guides the generation of model results through high-quality, systematic and procedural instruction design, which is an important approach to efficiently leverage the capabilities of LLMs and can be applied to resolve discipline-related issues. This article firstly introduces the concept of instruction engineering, and then thoroughly analyzes the constituent elements and design patterns of instructions, as well as the features and significance of instruction engineering. We also discuss the construction path of instruction engineering empowered information resources management. In the future, research and development in instruction engineering should focus on the construction of both general and domain-specific instruction engineering, standardization, intellectual property protection, security and systematic testing and assessment, aiming to enable instructions to effectively demonstrate their efficacy in complex application scenarios across various industries. Related Articles | Metrics | Comments（0）

Select

Reconstruction of Trust Mechanism in Academic Publishing Under the Intervention of AIGC in Knowledge Production WANG Pengtao, XU Runjie Documentation, Informaiton & Knowledge    2023, 40 (5): 87-96.   DOI: 10.13366/j.dik.2023.05.087 Abstract （441）      PDF（pc） （448KB）（2271）       Knowledge map    Save [Purpose/Significance] On the purpose of ensuring academic publications in which AIGC participates continue to gain the trust of the academic community and promoting the implementation of scenario-oriented application of artificial intelligence in the field of academic publishing, this paper explores the reconstruction of trust mechanism under the intervention of AIGC technology such as ChatGPT in knowledge production. [Design/Methodology] This paper analyzes the coupling between AIGC technology and knowledge production from the perspective of academic knowledge production cycle, identifies the trust crisis caused by the intervention of AIGC technology, and explores the theoretical model and practical path of trust mechanism in academic publishing. [Findings/Conclusion]Under the intervention of AIGC technology, the construction of academic publishing trust requires the three-dimensional collaboration of technical trust, interpersonal trust and institutional trust, and the "chain of responsibility" paradigm is adopted to mobilize the participation of technology developers, researchers, publishing institutions, associations, government and other subjects. [Originality/Value] In the face of the new generation of artificial intelligence technology wave, this paper discusses the evolution direction and the specific work of the construction subjects of the trust mechanism in academic publishing, so as to provide theoretical and practical guidance for promoting the healthy ecosystem of academic publishing and realizing the industrial upgrading by grasping the dividends of artificial intelligence technology. Related Articles | Metrics | Comments（0）

Select

Technical Principles and Process Innovations of Generative Intelligent Publishing ZHANG Xinxin, DING Jingjia Documentation, Informaiton & Knowledge    2023, 40 (5): 68-76.   DOI: 10.13366/j.dik.2023.05.068 Abstract （436）      PDF（pc） （398KB）（1376）       Knowledge map    Save [Purpose/Significance] This study aims to explore how generative artificial intelligence（AI）technology empowers the publishing industry to form the principles and process innovations of generative intelligent publishing. Based on the categorical structure of analytical intelligent publishing and generative intelligent publishing, this study investigates the issues of process innovations of generative intelligent publishing in four aspects of content production, content review, intelligent printing, and intelligent marketing. [Design/Methodology] From the perspective of ChatGPT, this study analyzes the ontological attribute definitions of ChatGPT in three aspects: generative AI, cognitive intelligence, and artificial general intelligence.It reveals three key technical principles: massive data advantage, reinforcement learning algorithm advantage, and continuous supercomputing power advantage. Finally, it discusses the process innovations of intelligent publishing based on generative AI. [Findings/Conclusion] The implications of generative AI in the publishing process innovations include the transition from professional generated content to AI generated content, the transition from manual editing to human-machine collaborative intelligent editing, to innovations in printing scenarios such as on-demand printing and intelligent printing factories based on generative AI, and to changes in marketing data, capabilities, efficiency and quality based on generative AI. [Originality/Value] This paper defines the ontological results of generative AI, cognitive intelligence and artificial general intelligence stages for the products of optimizing language models for dialogue represented by ChatGPT. It proposes new characteristics, new laws and new ideas for generative intelligent publishing in the stages of planning, editing, printing and distribution and expands the research scope of digital publishing and intelligent publishing to some extent. Related Articles | Metrics | Comments（0）

Select

Information Framing Effect of Public Policy Dissemination on Short Video Platforms: A Video Content Analysis and Experimentation Based on the "Double Reduction" Policy CHEN Jinghao, NIE Huizi Documentation, Informaiton & Knowledge    2024, 41 (1): 35-45.   DOI: 10.13366/j.dik.2024.01.035 Abstract （431）      PDF（pc） （397KB）（1590）       Knowledge map    Save [Purpose/Significance] As an emerging form of Internet information expression, short videos have gradually become important tools for policy dissemination. Exploring the effectiveness of short video platforms in the dissemination of public policy information, as well as the willingness of the audience to adopt them can help enhance the effectiveness of public policy communication. [Design/Methodology] Taking the "Double Reduction" policy as an example, and drawing upon the theories of framing effects and information adoption, this study employs content analysis to summarize the organizational methods of information framework of the "Double Reduction" policy on short video platforms and analyzes the impact of different policy information frameworks on dissemination outcomes. Furthermore, an online controlled experiment is conducted to validate the influence of different policy information frames on audience adoption willingness. [Findings/Conclusion] On short video platforms, nearly 40% of the information use a goal framework, with a majority adopting a loss frame, often from a collectivist perspective and in a non-narrative presentation mode, and the goal framework, cultural framework and narrative framework do not have significant impact on audience's comments, shares, or likes. For the "Double Reduction" policy information, the loss frames, gain frames, collectivist and individualist values, as well as narrative and non-narrative elements, all enhance the audience's willingness to adopt. Additionally, there is an interactive effect between the goal framework and the cultural framework. [Originality/Value] The research conclusions provide valuable insights for policy propaganda departments and related government agencies to optimize policy dissemination strategies and improve dissemination effectiveness. Related Articles | Metrics | Comments（0）

Select

When We Talk About Data Sovereignty：From a Literature Review LIU Yan Documentation, Informaiton & Knowledge    2023, 40 (6): 31-41.   DOI: 10.13366/j.dik.2023.06.031 Abstract （429）      PDF（pc） （358KB）（579）       Knowledge map    Save [Purpose/Significance] The purpose of this study is to delineate the domestic and international research landscape of data sovereignty, achieve a broad consensus on the understanding of data sovereignty, eliminate existing or potential misunderstandings and misuse related to data sovereignty, and uncover current research limitations while proposing pathways for future research. [Design/Methodology] Employing content analysis method, the study designs a research framework for textual analysis that spans from the evolution of concepts to connotations, values, subjects, powers, and applications. It compiles data sovereignty literature from both domestic and international sources, showcasing the academic community's level of understanding regarding data sovereignty. [Findings/Conclusion] Data sovereignty is often intertwined with control and governance of data flow. Historically, the academic community has exhibited a strong sense of sovereignty awareness and acute risk perception, and attaches great importance to cyber security. However, this has also revealed issues such as limited theoretical research, simplistic risk exploration, and difficulties in implementing security recommendations. There is a need to delve deeper into the legal exploration of data sovereignty, investigate the inherent logic of its risks, and thoroughly study solutions and strategies for its security development. [Originality/Value] By reviewing data sovereignty research from domestic and international sources, this study preliminarily defines the concept of data sovereignty and the primary concerns when discussing it. Building upon the summary of current research deficiencies, it proposes directions for future research enhancement. Related Articles | Metrics | Comments（0）

Select

Current Advances of Time Series Analysis in Information Science: Tasks, Processes and Problems CHEN Guo, WANG Kaiyue Documentation, Informaiton & Knowledge    2023, 40 (6): 89-97,116.   DOI: 10.13366/j.dik.2023.06.089 Abstract （421）      PDF（pc） （357KB）（726）       Knowledge map    Save [Purpose/Significance] This paper aims to examine the current research progress in time series analysis within the field of information science and provide a comprehensive overview of common challenges, ultimately serving as a valuable reference for the advancement of modeling and prediction in information science research. [Design/Methodology] This study summarizes the application tasks, research processes and prevalent issues pertaining to time series analysis in information science research, specifically focusing on tasks, processes and problems. [Findings/Conclusion] The findings reveal that, in terms of tasks, existing research has successfully applied time series analysis in various scenarios such as subject theme evolution, academic influence evaluation, network sentiment analysis, and technology trend analysis. The application scope predominantly encompasses historical evolution and future prediction. Regarding the research processes, existing studies primarily follow a sequential order encompassing time series data selection, time segmentation methods, morphological pattern mining, prediction and evaluation. In terms of problems, future research should prioritize the development of time series models for short sequences and enhance the evaluation of time series analysis outcomes. [Originality/Value] Through a comprehensive review, this paper provides a comprehensive overview and reference for researchers in the field by systematically summarizing current research on time series analysis in information science through a comprehensive compendium. Related Articles | Metrics | Comments（0）