Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] This research explores the relationship between the health information search behaviors of college students and the spatiotemporal situation of public health emergencies, in order to reveal the coupling characteristics of users’ health information search behaviors and public health emergencies. [Method/process] Using mobile experience sampling method and key event method to collect 380 college students’ health information search diary data as research samples, the process of user information search (information sources selection, information search patterns) and results (information utilization methods, health awareness and emotional perception) in public health emergencies were the entry points, and spatiotemporal characteristics of health information search in the context of public health events of college students were statistically analyzed. [Result/conclusion] The spatiotemporal coupling characteristics of user health information search results of college students in public health emergencies are obvious. The combined using way of health information search and changes in health consciousness of college students both show significant differences in time and space distribution. In the outbreak period and high-risk areas, users prefer to sharing information offline while self-use, and the level of health awareness changes is relatively high. In the duration period and low and medium risk areas, users prefer to share online while self-use, and the level of health awareness changes is relatively low. Although the single using way of information and emotional perception do not show significant differences in time and space distribution, the single using way of information spatiotemporal coupling characteristics are still reflected in descriptive data. The search process of college students’ health information shows normalized features such as users’ habitual use of mobile devices as information sources and preference information encounters. This research reveals the spatiotemporal contextual characteristics of health information search behaviors in emergencies, which helps the information service department in-depth grasp the law of information behavior changes in different periods and regions of public health emergencies and improve accurate information services level.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper attempts to explore the bounded rationality characteristics of information searching based on the prospect theory.[Method/process] The questionnaire survey was used to test and verify the reference dependency, the risk preference reversal, the loss elusion and risk elusion, the framing effect of users' information searching behavior.[Result/conclusion] The results show that users' information searching behavior conforms to the prospect theory characteristics:there is reference dependency when users search information; users are risk seeking in gain and risk aversion in loss; the pain induced by delay is greater than the happiness induced by finishing tasks ahead of schedule, and with the deviation from references, users' marginal experience is decreasing with diminishing sensitivity; the framing effect is also obvious. The study provides sound experimental evidence that the interpretation and the prediction of the users' information searching behavior are accurate based on the prospect theory.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The social capital of users in social question and answer (SQA) is influenced by many factors. This paper aims to explore the differences in the impact of different health information behaviors of SQA users with their social capital.[Method/process] Taking 1 650 users as the research objects, who were selected from 2 537 problems and 3 567 answers of diabetes topic in Zhihu. This study applied L. Nan's social capital theory framework and N. Uphoff's classification of social capital, divided the user's social capital on SQA into cognitive social capital and structural social capital. And then, we analyzed the relationship between user's health information behavior on SQA and social capital by the method of multiple linear regression.[Result/conclusion] The results show that user's information contribution behavior and information disclosure behavior positively promote the accumulation of social capital in varying degrees, while different information acquisition behaviors have different effects on cognitive social capital and structural social capital. These results help SQA users improve social capital, as well as the platform can improve user service and incentives.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] From the perspective of knowledge topics, this paper try to solve the problems of overlaps and "information island" between courses in the existing curriculum system design and teaching by establishing a comprehensive curriculum knowledge system. Thus, the professional knowledge services can be carried out effectively.[Method/process] This study takes the main courses of clinical medicine as the research object, based on medical thesis vocabulary, electronic textbooks, electronic lesson plans and other medical education data, through the LDA model to deeply explore the knowledge topics in courses, and then using the correlation analysis method to reveal the fine-grained relationship between courses, knowledge topics and the courses and knowledge topics. Thus, a clinical medical course-knowledge topic graph is constructed.[Result/conclusion] The study constructs domain knowledge graph from the perspective of professional curriculum system and knowledge subject. The results will help teaching managers, teachers and students master the professional knowledge system, and carry out knowledge-oriented teaching activities. Furthermore, It can promote the development of knowledge organization and services in the medical field and the development of smart medical education.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Online health care community is an emerging online platform for doctors and patients to communicate, of which the payment consulting service is an important module to attract users and make profits. To understand the information needs and influencing factors of patients' choosing behavior in paying consultation, is helpful to improve the service of doctors and enhance the vitality of the community.[Method/process] Based on the theory of consumer trust and the theory of consumer perception, as well as considering the effect of price and herd psychology, this study established the model of influencing the behaviors of patients' choices in the community. And a regression analysis of good doctor online website data was made.[Result/conclusion] Online comments for doctors, service quality, contribution value, external attention and price is verified. And there is a difference between the traditional line selection and traditional medicine. The results can provide reference for doctors to improve their services and for communities to promote income.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To further improve the theory of information needs, and optimize network health information service, this paper analyzed the motivation and topic of college students' health information needs in public health emergencies. [Method/process] In this paper, public health emergencies within the scope of China in early 2020 were taken as the context and self-reported information needs of search users were taken as the analysis object. This paper adopted the method of content analysis, open coding and association rules to analyze distribution, evolution and correlation. [Result/conclusion] The study found that college students' health information needs in public health emergencies are balanced by individual and social motivation; the study found that the topic of health information needs in public health emergencies focused on epidemic situation and trend, disease prevention, etiology pathology and diagnosis, government behavior and social phenomena; with the evolution of public health emergencies, the focus topics of health information needs changes steadily; the motivation and topics are significantly correlated; epidemic situation and trend, social phenomena and government behavior are driven by social motivation, while individual motivation mainly drives disease prevention, etiology, pathology and diagnosis.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To solve the problem that the identification effect of the target domain information is difficult to improve because of not enough samples, we will transfer the results of unsupervised learning from big data to the feature space of the target domain. [Method/process] Used the RoBERTa model, which was pre-trained with Chinese Wikipedia and other data, for transfer learning. After mapping the learning results to the target domain, DPCNN was used to aggregate and condense it, and then fine-tuned the model with part of the labeled data to complete the accurate recognition of domain information. [Result/conclusion] Compared with the model without transfer learning and the classic model TextCNN in 10 fields, the model in this paper is much better than the comparison models. After average, the precision is increased by 4.15% and 3.43%, the recall is increased by 4.55% and 3.44%, and the F1 score is increased by 4.52% and 3.44%. It shows that knowledge transfer using big data can effectively improve the information recognition effect in the target field.
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