Subjects: Other Disciplines >> Synthetic discipline submitted time 2024-06-13 Cooperative journals: 《高校图书馆工作》
Abstract： “New integration”, an important point of the macroscopic information science view in the Nanjing Consensus on the Development of Information Science and Information Work (“Nanjing Consensus” for short), has become the core meaning of the construction and development of the discipline system, academic system and discourse system of information science with Chinese characteristics and has also put forward new ideas and directions for the positioning and training of information talents. This paper aims to break through the traditional training mode of information talents and explore a new training mode of applied high-level information talents relying on the framework of full information capabilities. The article adopts the methods of literature research, combination of quantitative and qualitative, comparison and analogy to dynamically analyze and study the domestic literature related to information talents training before and after the “Nanjing Consensus” was revealed. Then, starting from the framework of full information capabilities, combined with the advanced experience and policy development trajectory of domestic and foreign talents cultivation, the article summarizes the application pathways and explores the construction of a talent training system of full information capabilities. From the perspective of new integration, the training system of talents with full information capabilities focuses on the realization of multi-dimensionally transdisciplinary cooperation across time and space in discipline system, application fields, key technologies and related resources, so as to form a positive feedback effect. Under the joint influence of new technologies and new ideas, the talents with full information capabilities can quickly and comprehensively play the role of ears and eyes in the industry.
submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] This article is aimed to explore the impact of artificial intelligence generation technologies such as large language models (LLMs) on users' information retrieval behavior and to suggest ideas for information retrieval systems and information resource construction. In this way, it provides insights into and references for the future establishment of the artificial intelligence generated content (AIGC) information platform with Chinese characteristics as well as the information literacy education system. [Method/Process] In the field of library intelligence, with the wide application of AI technology in information service work, LLMs represented by ChatGPT have also become a hot topic of discussion. Taking the booming development of LLMs such as ChatGPT as background, we analyzed the impact of the increasing popularity of this technology on information retrieval systems and user retrieval behavior from the perspective of user information behavior by combining the technical features of LLMs with the characteristics of existing products. Literature survey and empirical analysis were used. [Results/Conclusions] The use of LLMs as information retrieval systems has unparalleled advantages over traditional products. These advantages include the ability to understand and process natural language queries, generate relevant and context-specific responses, and interact with users in a more human-like way. The application of LLMs in information retrieval systems has the potential to transform the way users search for information, influence the underlying logic, action priorities, and retrieval expectations of user information retrieval behavior. However, the existing shortcomings of LLMs in terms of reliability and accuracy still make it difficult for them to replace traditional information retrieval methods immediately. Language models may not always provide accurate and reliable answers, especially when dealing with complex or domain-specific queries. Additionally, LLMs may struggle to understand and process contextual information effectively, leading to limitations in their ability to extract relevant and context-aware insights. It is recommended to pay attention to this technology in the construction of information retrieval systems and information resources, and to explore the combination of LLMs and information services in order to cope with the changes in future user information needs and to further make full use of the value of existing information resources. Limited by the lack of expertise in the field of AI and the fact that LLMs are not yet widely used in practice in China, the research findings are only a reflection and exploration of the impact of LLMs on users' information behavior.
submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Citation analysis is an important research field of biblio-metrics, which aims to investigate the citation behavior and academic influence of literature by analyzing the citation relationship of literature. Specifically, full-text citation analysis can help researchers understand the citation relationship and academic impact of the literature more accurately and comprehensively. This paper aims to clarify the development of full-text citation analysis, review the different progress of full-text citation research, and on this basis, attempt to analyze the challenges of full-text citation analysis and the possible development direction in the future in order to better promote the development of citation analysis of the full text. [Method/Process] Key words and search formulas were determined on the CNKI database and the Web of Science database, and then the retrieved results were screened and filtered according to the summary. This paper reviews the research results of full-text citation analysis at home and abroad, and summarizes the research contents of full-text citation analysis into citation location analysis, citation intensity analysis and citation context analysis. Citation context analysis can be divided into word selection, emotion analysis, motivation and behavior analysis. At the same time, the application of citation analysis in interdisciplinary and scientific evaluation is analyzed. A summary of the differences in research content and application of full-text citation analysis at home and abroad was provided. [Results/Conclusions] The current research on citation analysis of the full text has an important connection with the chapter structure. The reference strength analysis is closely combined with the reference position analysis, and the focus is to develop new calculation methods. In the context of citation, the emphasis of citation analysis is emotional analysis. The application mainly focuses on the construction of interdisciplinary measurement and scientific evaluation system. This paper also predicts the challenges and future directions of citation analysis. The specific factors to be considered include data volume and data quality, method accuracy and efficiency, cross language reference analysis, and the improvement of visualization and interactivity. In spite of many challenges, the full text citation analysis still has great development potential. In the future, it is possible to make progress in citation semantic analysis, expansion of application field, big data analysis, data privacy protection and real-time analysis. This paper reviews the current situation, application and challenges of citation analysis, hoping to provide reference and insights for future research. At the same time, this study still has some shortcomings, based on the development of computer technology, it has some limitations in its discussion on the future development trend.
submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] At present, studies on online health information search at home and abroad mainly focus on the analysis of influencing factors of online health information search, the analysis of characteristics of online health information search, and the analysis of the action path between online health information search and health anxiety, etc. Few scholars focus their research objects and perspectives on offline medical treatment behavior. Moreover, there is insufficient research on the effects and mechanism of online health information search on offline medical treatment behavior. This paper aims to analyze the characteristics of public online health information search and explore the factors that affect public online health information search on offline medical care seeking behavior. [Method/Process] Based on the S-O-R theory, this paper proposed relevant hypotheses and constructed a correlation model between online health information search and offline medical care seeking behavior. Taking college students as the main research object, based on the maturity scale of domestic and foreign authorities, four variables of online health information search, risk perception, physical alertness and offline medical treatment behavior and 13 operable observation variables were designed. SPSS25.0 software was used to conduct reliability and validity analysis, correlation analysis and factor analysis of 204 valid questionnaires collected. Amos25.0 software was used to construct a structural equation model to verify the hypothesis and the Bootstrap method was used to test the mediation effect. [Results/Conclusions] The research findings: 1) public online health information search significantly affects offline medical seeking behavior; 2) public online health information search significantly affects risk perception; 3) public physical alertness significantly affects offline medical care seeking behavior; 4) risk perception and body alertness mediate between public online health information search and offline medical care seeking behavior. Based on the study conclusions and the results of interviews with some surveyors, two suggestions have been put forward. On the one hand, it is necessary to collect online resources, drive offline traffic, and help the growth of the offline medical market. On the other hand, it is necessary to build a health index, establish a nationally unified and credible evaluation index system for the health of urban residents, index evaluation of residents' health status, and predict disease manifestations. Most of the subjects in this study are college students, and the questionnaire distribution scope is limited, so the research results are not representative enough. Additionally, the scope of the research object will be further expanded to include the middle-aged and senior subjects to enhance the persuasiveness of the research conclusions.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-04-25
Abstract： Purpose/Significance This paper summarizes the representative research achievements on predatory journals at home and abroad, and provides a reference for the related research. Method/Process The literature reading method and network survey method were used to investigate predatory journals in terms of basic theory, characteristic indicators, country distribution and operation mode. Result/Conclusion Predatory journals have derived a series of related concepts with profound theoretical roots. Predatory journals present new characteristics with the times, thus requiring smarter methods to identify and track such journals. Developing countries with underdeveloped scientific research are the main originators and victims of predatory journals. Predatory journals imitate the operation mode of regular journals in the process of establishment, profitability and dissemination, which makes it difficult to manage predatory journals. Future research can focus on five aspects: defining the concept of predatory journals, tracking the characteristics of predatory behavior, assisting accurate identification by artificial intelligence, improving the mechanism of peer review, and multinational communication and collaborative governance.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Open and transparent information is the most effective way to deal with the information epidemic, quality is its lifeline, taking the quality of information disclosure as the starting point for the effectiveness inspection of the response to COVID-19 pandemic, this paper explores the influencing factors that affect the quality of information disclosure of major public health emergencies, and provides references for improving the quality of information disclosure of major public health emergencies.[Method/process] Based on the user experience, the original data was obtained through semi-structured interviews. Then combining the ecology theory and crisis management theory, it sort out the relationship between the factors influencing the quality of information disclosure of major public health emergencies in the post epidemic era from the public perspective by exploratory research method, and constructed a theoretical model.[Result/conclusion] This paper expounds the influence and mechanism of the core factors of subject, information, information technology and environmental factors on information disclosure of major public health emergencies in the post epidemic era. And the unique elements of information disclosure quality of major public health emergencies in the post epidemic era are the appeasement of information disclosure in advance, the story of relevant professional knowledge in the event, the summary of information after the event, the use of information technology to enhance the knowledge of information disclosure content and intelligent disclosure methods, which provide a theoretical and practical guidance to further improve the information disclosure quality of major public health emergencies.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] At present, with the rapid development of China's Internet, modern information technology with the Internet technology as the core has been widely used in all walks of life and different fields. An Internet model has come into being. It has changed the way people live, study and work, and university evaluation is faced with changes under the Internet environment. Taking environmental changes as the starting point for the examination of efficient ways of evaluation and reform, we aim to deeply explore the evaluation reform of universities in the Internet environment and the realization path. [Method/Process] Through literature review, case study and investigation, an in-depth analysis of three major functions of colleges and universities in the Internet environment are performed, the reform of talent training, scientific research and social services, and talent cultivation mainly explored from educational resources, distance education and personalized talent training. Scientific research is mainly conducted from three aspects: scientific research resources, online scientific research mutual assistance and online scientific research interaction. Social services are mainly analyzed from the sharing of expert resources, network remote services and network think tank services, and then the changes in university evaluation data, evaluation indicators and evaluation results in the Internet environment are explored, including data source changes, data acquisition methods and data processing changes. Changes in evaluation indicators include new characteristics of evaluation indicators. The reform of evaluation results includes the personalization of evaluation results, the real-time nature of evaluation results, the diversification of evaluation results and the networking of evaluation results, and the research and discussion of evaluation reform and realization path of universities in the Internet environment. [Results/Conclusions]The research results indicate to carry out changes in university evaluation, determine the realization path of elements at all levels, and construct a university evaluation model, build a university evaluation platform, and strengthen the cultivation of university evaluation specialists in the Internet environment, of which the university evaluation model explores the aspects of evaluation subject, subject elements and their relationships, and the university evaluation platform includes the evaluation data perception layer, the evaluation data resource layer and the evaluation data sharing layer. The study provides a reference for promoting the research and practice of university evaluation in the Internet environment and building a new university evaluation ecology.
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