Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance]This paper explored the influencing factors of social media users' switching behavior tobroaden the scope of social media user behavior research, with a view to provide reference for the relevant theoretical research, and provide reference for social media operators to improve service quality and increase user stickiness.[Method/process] Building theoretical models based on Expectation-Confirmation Theory, Flow Theory, and IS Success Model, with a focus on social media system quality, information quality, service quality, flow experience, and users'satisfaction with social media usage, and to what extent users' switchingbehavior will be affected.Data were obtained by questionnaire, SPSS and AMOS analysis software were used to analyze the data and verify the hypothesis.[Result/conclusion] The data results showed that social media system quality, information quality, service quality and flow experience have a positive impact on users' satisfaction, while users' satisfaction negatively affects the switching behavior.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The risk assessment of consumer privacy disclosure in mobile commerce has an important impact on the follow aspects:understanding consumer privacy disclosure behaviors, improving the protection of consumers' privacy information by platforms and businesses.[Method/process] Firstly, according to the characteristics of mobile commerce, this paper built a risk index system of personal privacy information disclosure of mobile commerce consumers. Then, though the fuzzy comprehensive evaluation method, this paper evaluated the risk of consumer privacy disclosure in mobile commerce. Finally, it made an empirical analysis based on Taobao APP.[Result/conclusion] The data result shows that consumer vulnerability risk is the biggest cause of consumer privacy disclosure risk, and the mobile terminal vulnerability risk is the lowest. At the same time, the weight of consumer safety awareness is the largest, this indicates that improving consumers' privacy awareness is the most important aspect to protect the privacy information security of consumers.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance]With the gradual increasing number of social network users, the research on the behavior of personal information security in social network has a positive role in better helping social network users to avoid social network security risks and urging the social network platform developers to improve information security technology.[Method/process]Based on the theory of social cognition and protective motivation, this paper constructs a model of influencing factors of social network personal information security behavior, and tests the applicability of the model by the survey of questionnaire and structural equation method.[Result/conclusion] The results show that response efficiency is the most important factor which influences the behavior of personal information security protection in social networks, and the perceived threat and self-efficacy have a positive effect on personal information security protection willingness. But avoidance behavior has a negative impact on the willingness to protect information security, and the users' willingness to protect information security has a positive impact on the behavior of information security protection.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The article collects and analyzes relevant literatures on artificial intelligence research in the field of library and information at home and abroad, in order to understand the current research progress and future research trends of artificial intelligence in the field of library and information, and provide reference and research for academic and industrial research.[Method/process] Using literature analysis and knowledge map visualization method, the origin and development of artificial intelligence research in the field of library and information at home and abroad, domestic and foreign research hotspots and future research trends are compared and visualized.[Result/conclusion] From the perspective of research and development trends, the number of relevant research results at home and abroad is increasing year by year. From the research hotspots, foreign research mainly focuses on the application research of artificial intelligence in information retrieval, social media content classification and sentiment analysis, and knowledge question and answer. Domestic research mainly focuses on artificial intelligence in network public opinion analysis, library intelligent search and recommendation services, and social media network data analysis. From the research trend, future research should focus on the four main directions of artificial intelligence technology application visual search and semantic search, smart library service, social network data mining, and artificial intelligence impact on privacy and security.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] During public health emergencies, online rumors have serious negative effects and disturb social order. This paper takes the rumors during the COVID-19 as an example to explore the factors that influence the rumor refutation effectiveness, and provide references for rumor refutation in the face of public health emergencies, so as to improve the rumor refutation effectiveness and avoid social risks.[Method/process] In order to explore the factors influencing rumor refutation effectiveness in public health emergencies, this paper adopted the grounded theory, used NVivo 12.0 software to code. In the end, 22 initial concepts, 12 categories and 6 main categories were obtained. On this basis, the interpreting structural model method and MATLAB were used to analyze the relationship between various influencing factors.[Result/conclusion] In this study, based on the coding results, the influential factors of rumor refutation effectiveness are summarized and integrated into three layers, namely subject, information and channel. According to these influential factors, the SIC model analysis framework of the influential factors of rumor refutation effectiveness is constructed to analyze the relationship between the main categories and rumor refutation effectiveness, and the hierarchical structure model of influencing factors of rumor refutation effectiveness is constructed.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Analyzing the types, mutual relationships, community structure, and dissemination effects of the information on the Internet from multiple angles will help to discover the key information subjects and the effective spread of the information on the Internet. It plays an important role in strengthening the guidance of public opinion during public health emergencies and maintaining social stability.[Method/process] The article selected the "Shuanghuanglian" rumors during the new crown pneumonia epidemic, and built a network of rumor-defying subjects through Neo4j, then detected the network community using Louvain algorithm. Through content analysis and regression analysis, this paper analyzed the characteristics of the information content and the strategies of the rumor-defying subjects, and constructed the subject-content two-mode network, to explore how different information subjects and communities promote the dissemination of rumor-refuting information in social media, as well as effective methods and strategies for rumor-refuting.[Result/conclusion] The results of the study found that the government and mass media were the main actors in online rumor-refuting. The government most used the strategy of countering rumors, while the mass media did the opposite. Content characteristics have different effects on the effectiveness of rumor-refuting information dissemination.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Based on the survey of the demand of big data industry under the background of new liberal arts and the analysis of the talent training mode of big data management and application specialty in universities at home and abroad, this paper puts forward the construction mode of big data management and application specialty, and promotes the transfor-mation of talent training mode of professional education to meet the demand of industry for talents.[Method/process] In this study, through online survey, web crawler and comparative analysis, 20 typical universities at home and abroad were selected as samples, and the theoretical curriculum system and practical teaching links of newly-built Big Data Management and Application were compared and analyzed, and the key points, difficulties and pain points in the construction of new major were put forward.[Result/conclusion] This study puts forward the training mode of Big Data Management and Application in New Arts and Sciences University, which is based on cross-border discipline joint training, multi-level education mixed training as a method, new liberal arts laboratory construction as a means, and industry-university collaborative education training as a guide, so as to shape technical, application-oriented and business-oriented big data professionals who meet the needs of new liberal arts background.
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