[Purpose/Significance]As a new thing,open source intelligence has been widely valued by researchers all over the world.Combing its research status,hot spots and research trends can not only make a good summary of the past research,but also provide reference for the follow-up research and promote the development of open source intelligence industrialization.[Method/Process]In the study,bibliometrics was used to obtain the documents of foreign open source information for related research,then the document data was preprocessed,and various visual analysis methods were used to show its research status and research hotspot,and the future trend was the predicted.[Result/Conclusion]In recent years,the research on open source intelligence has shown a trend of rapid growth,but also shows the characteristics of cross fields.The open source intelligence field shows more and more obvious technology dependence,which can promote the progress of technology,and then promote the sustainable development of open source intelligence research,and improve the accuracy of open source intelligence development and analysis.

[Purpose/Significance]This paper combs the subsystems and influencing factors involved in the development and utilization of open source intelligence,provides theoretical support for the development and utilization of open source intelligence,and optimizes the service system from the perspective of products.[Method/Process]Combing the various factors mentioned in different literature,three categories were summarized as following:personnel,environment and system,including a total of 19 factors.Using the method of system dynamics to establish causality diagram and system flow diagram,the sensitivity test of different factors was carried out to analyze their impact on the development and utilization of open source intelligence,and the corresponding opinions and suggestions were put forward according to the analysis results.[Result/Conclusion]It can be seen from the causality diagram that confidentiality awareness,analysis ability,intelligence analysts of specific languages and information acquisition mechanism can indirectly promote the development of open source intelligence products.In the process of development and utilization of open source intelligence,it is necessary to actively supplement the grey literature in relevant fields,and to guide the reasonable comparison between the existing achievements and the target achievements,so as to ensure the correct and feasible development and utilization direction;To strengthen the collaborative development among different departments,it is particularly essential to strengthen the training and re education of intelligence analysts,so that the ability of intelligence analysts can match with the technology and analysis data,which can better promote the development and utilization of open source intelligence.

[Purpose/Significance]Analyze the impact of the information environment on the efficient development and utilization of open source intelligence and its products,and provide reference for the better function of open source intelligence products in various fields.[Method/Process]In the study,the literature related to the development and utilization of open source intelligence was analyzed at home and abroad,the technical factors and information environment factors involved were summerized,and the method of system dynamics was used to simulate each factor to test the influence of different factors on the development and utilization of open source intelligence under different conditions.[Result/Conclusion]From the causality diagram,the three factors,namely "timely access to open source intelligence of specific languages","complete technical system" and "data visualization" can have a positive impact on the development and utilization of open source intelligence products,and with the extension of testing time,the three factors show a rapid growth trend.In the case of"background assessment"with reasonable accuracy,choosing the right search engine and extracting the required data quickly and accurately can promote the development of open source intelligence products,which is more in line with users' expectations;The more timely and extensirely data can be extracted,the higher the availability and feasibility of intelligence product development;choosing a reasonable and appropriate search engine can not only effectively collect physical information,indirectly promote the development of open source intelligence products,but also directly promote the development of open source intelligence in the mode of productization.

[Purpose/Significance]Starting from the perspective of intelligence demand,this paper analyzes the impact of open source intelligence on the innovation of national intelligence work system from two perspectives:the application fields and constraints of open source intelligence,so as to provide reference for relevant departments to formulate and optimize the intelligence work system.[Method/Process]Combing the relevant literature on open source intelligence and national intelligence work system,the application fields and bottlenecks of open source intelligence were taken as "external cause",the national intelligence work system as "internal cause",and the "intelligence demand" as the connection between them.The questions how the external factors affect the innovation of the national intelligence work system through the intelligence demand were anzlyzed,and how the national intelligence work system itself changes to better remove the bottleneck restricting the open source intelligence,so that the open source intelligence can better play its role under the national intelligence work system.[Result/Conclusion] "Intelligence demand" is the connection between open source intelligence and national intelligence work system.The intelligence needs needed by the efficient and rapid operation of the national intelligence work system can be met by the way of open source intelligence,which has many sources and a wide range,and can better provide information analysis materials for the national intelligence work system;Starting from the top-level design,the national intelligence work system can flexibly absorb various systems,such as personnel training and technology tracking,to break the bottleneck of the development of open source intelligence,and provide institutional guarantee for open source intelligence to play a better role in different fields involved in the overall national security concept.

[Purpose/Meaning]The selection and use of the two terms about "information" partially reflect the development of Chinese information science,and it is still a key research issue in domestic information science.This research analyzes the impact of terminology use on information science research by examining the usage and trends of two types of terms in information science papers.It is proposed to make suggestions on the distinguishing and use of the two terms about "information" in future information science researches,providing some reference for the construction of the subject system,academic system and discourse system of Chinese characteristics information science.[Method/Process]This study selects journal articles included in the CNKI database "Information Science,Intelligence Work" catalogue as the research object.By combining the occurrence and location of terms,different retrieval conditions are formulated and the data is collected to form basic data set.This research mainly uses content analysis methods,supplemented by manual coding methods,discusses the keywords and themes of the papers in each data set from multiple angles,and analyzes the background,reasons and significance of researchers' different choices to different terminology.[Results/Conclusions]It found that the use of terms about "information"for IS research is more standardized presently,but a large part of the research objects of the papers have deviated.In view of this situation,domestic information science must increase the substantial research on "intelligence",deepen and expand the research on "intelligence" while studying "information".

[Purpose/Significance]Under the "Internet+" education environment,the behavior of users to exchange knowledge through online learning communities has become more and more common.However,the current research on knowledge exchange in online learning communities is relatively scattered,and systematic research and integrated discussion on the behavior mechanism of online knowledge exchange are helpful to guide users in the process of online knowledge exchange.[Method/Process]In the research,grounded theoretical methods was used to conduct in-depth interviews with 20 users,and a conceptual model of knowledge exchange was built in the online learning community from the interview data.[Result/Conclusion]From the main category relationship structure,it can be seen that the community environment,learning context,and social utility have a direct impact on knowledge exchange behavior,and together with the driving factors of knowledge exchange constitute the motivation layer of the TSUK model;technical defects,technical optimization suggestions,Personal abilities and knowledge exchange media have different performances in different knowledge exchange situations,which together constitute the performance layer of the TSUK model.The model provides a two-tier and four-dimensional structure research perspective at the theoretical level,and provides a reference for the designers,operators and participants of the online learning community at the practical level.

[Purpose/Significance]From the perspective of social network,this paper studies the user interaction characteristics and internal rules in virtual academic society so as to provide reference for improving scientific research efficiency,community management and service.[Method/Process]Using social network analysis method,the study revealed the user interaction behavior in the virtual academic community "economics and management community" by analyzing the topic characteristics,network characteristics and relationship characteristics of user interaction,and its internal rules from three aspects were described:the amount of users' posts,the level of users' reputation and the number of users' friends.[Result/Conclusion]The user theme of virtual academic community has high degree of integration and professional characteristics.The user interaction behavior has the characteristics of scale free network with large scale,many clusters and low density,and the core users have strong collaboration while the ordinary users have low enthusiasm.Users with more posts and higher reputations are more likely to communicate with others,but more friends do not necessarily lead to more interactions.In order to promote information supply and user communication in virtual academic community,users not only need to continuously obtain information,but also need to actively provide information to build a benign information exchange and sharing cycle.

[Purpose/Significance]Based on the characteristics of financial securities industry,a multilevel domain ontology cube model was proposed and constructed by referring to the concept of hierarchical design and data cube.[Method/Process]FBIO was used ontology for knowledge modeling;LDA topic modeling and Birch hierarchical clustering were used to complete concept extraction.Ontology instance expansion was completed by knowledge extraction based on dependency syntax and deep learning framework.Semantic relevance was enhanced through dimension classification and probabilistic entity space vector representation.[Result/Conclusion]The multi-level structure and the cube structure increased the internal correlation of knowledge,and provided a multi-level and fine-grained knowledge organization mode for financial concept knowledge.It also provides new ideas for ontology construction.

[Purpose/Significance]Due to the uncertainty and special severity of public health emergencies,combined with the lack of early public scientific knowledge of the COVID-19 outbreak caused public panic and intensified the initial spread of online rumors.Analyzing the influential factors of users' willingness to spread rumor refutation information is fovorable for formulating better rumor refutation strategies and improving the rumor refutation effectiveness.[Method/Process]Based on the integration of S-O-R theory model and MOA theory,the influential factor model of users' willingness was conseructed to spread rumor refutation information,and the empirical and structural equation methods were used to verify and analyze the constructed model.[Result/Conclusion]The results of data analysis showed that relationship strength motivation had the strongest positive effect on users' pleasure.The second was the positive effect of user pleasure on arousal.The least effect was the influence of arousal on users' willingness to disseminate rumor refutation information.Among the three mediating variables of perceived usefulness,pleasure and arousal,perceived usefulness had the most significant positive effect on users' willingness to disseminate rumor refutation information.

[Purpose/Significance]Emotional support is one of the main motivations for users to use online health community.Exploring the influencing factors of emotional interaction in online health communities can optimize the service in online health community and improve the dissemination of emotion.[Method/Process]Based on the information ecology,the model of influencing factors of emotional interaction in online health communities was constructed from four dimensions:user,topic,platform and environment.The applicability of the model was tested by using the empirical research methods.[Result/Conclusion]The results of data analysis showed that health experience had a negative impact on emotional interaction willingness.All of the four variables,namely "topic value","perceived platform usefulness","group connection","group identy" had positive impacts on emotional interaction willingness.Community platform can provide better emotional support for users by providing personalized health services,improving the value of topics and the usefulness of platform functions,strengthening group connection and group identity.

[Purpose/Significance]The function development of danmaku system supporting learning interaction and learning experience and the design of information filtering mechanism of danmaku website provide enlightenment,which broadens the knowledge boundary and theoretical scope of "search as learning",information encounter,informal learning and other fields.[Method/Process]Based on the theories of information encounter,"search as learning",sense-making and so on,the learning process and related mechanism of bullet-screen contingency were described and explained through phenomenological analysis of the in-depth interview data of 21 experienced users.[Result/Conclusion]The learning process of danmaku users is mainly composed of five links:attention turning,thinking and exploring,search expansion,analysis and synthesis,application of learning.Among them,the triggering factors of danmaku encounter,the flow experience of danmaku users,the "search as learning" behavior in danmaku encounter scenarios,the evaluation of the learning effect of danmaku users,and the knowledge sharing behavior of danmaku users deserve further attention from scholars in related fields.

[Purpose/Significance]The paper provided a functional analysis of foreign language Academic Social Networking Site(ASNS) from the perspective of gamification,it enriches the theory of gamification and provide reference for the optimization of academic social platforms.[Method/Process]On the basis of combing the related research of gamification,the study summarized the game elements of social network platform,the gamification function of three typical foreign language ASNS platforms was analysed from the perspective of eight core driving forces by using the catalysis framework,and the user's experience with gamification function of the three platforms was investigated.[Results/Conclusions]According to the findings of the research,the existing gamification features of academic social platforms focus on the four core drivers of accomplishment,empowerment,ownership and social,users are basically satisfied with the existing gamification functions of the three websites.ResearchGate focuses on meeting users' accomplishment and social needs,while Mendeley and Academia.edu focus on meeting users' ownership and social needs.In order to achieve better user experience,the websites needs to strengthen the design of gamification features that are the core drivers of epic meaning and scarcity.

[Purpose/Significance]Information security policy provides policy means to ensure information security.Analyzing the main characteristics and tools of information security policy has important significance for future information security research and policy optimization.[Method/Process]Based on the method of text analysis and the theory of policy tool,coding statistics on 81 national information security policies were made,and policy external characteristics,policy theme characteristics and policy tool distribution of information security policies were analyzed.[Result/Conclusion]Three suggestions were put forward for the formulation of information security policy in the future,namely,further improvement of the content of information security policy,optimization of the structure of information security policy tools,and enhancement of the coordination of policy makers.

[Purpose/Significance]Scene and sense bring opportunities for short video industry service in the way of function and utility respectively.However,how to use the scene function to form sensory value and promote its sustainable development is a practical problem to be solved.[Method/Process]Scene and sense bring opportunities for short video industry service in the way of function and utility respectively.However,how to use the scene function to form sensory value and promote its sustainable development is a practical problem to be solved.Therefore,the scene and the sense organ were brought into the vision of short video industry service research.The scene based situation configuration was carried out from the two dimensions of personalization and standardization.Five kinds of sensory effects were effectively integrated to form and service function mechanism model.The realization path of service value is designed through semantic aggregation and correlation aggregation of context.[Result/Conclusion]This paper used muti case study method to demonstrate the formation mechanism of short video industry scene function and the realization path of sensory utility value.The results show that it is another way of information service in the scene era to effectively capture and mine the user's expectations for the scene function of short video industry,and realize the sensory utility value through scene adaptation.

[Purpose/Significance]This paper investigates the reading willingness of privacy policy in social media context,providing suggestions for the improvement of privacy policy definition and the use of personal information.[Method/Process]Based on the Technology Acceptance Model(TAM) and Self-efficacy Theory,this paper proposed an integrate model from the perspective of personal perception and content characteristic of privacy policy,to investigate the effect of subjective norms,information quality,information overload,self-efficacy,perceived ease of use,perceived usefulness,and experience on the reading willingness of privacy policy in social media context.To conduct an empirical analysis,312 valid responses were obtained and the Structural Equation Model(SEM) was used for the statistical analysis.[Result/Conclusion]The research results showed that self-efficacy,subjective norms,and information quality positively affected privacy policy reading willingness,but information overload had no significant effect on reading willingness;perceived ease of use positively affects reading willingness,and played a mediating role in the relationship between information overload and reading willingness,and the relationship between self-efficacy and reading willingness;perceived usefulness positively affected reading willingness,and played a mediating role in the relationship between subjective norms and reading willingness,the relationship between information quality and reading willingness,and the relationship between perceived ease of use and reading willingness;experience played a negative regulatory role in the positive relationship between information quality and perceived usefulness,and it played a negative regulatory role in the relationship between information quality and reading willingness with perceived usefulness as a mediating variable.

[Purpose/Significance]Through text analysis of the privacy policy of reading APPS,this paper discusses the compliance of privacy policy,and puts forward reasonable suggestions on the compliance of privacy policy of mobile reading apps in China.[Method/Process]Privacy policies of 10 top-ranking reading apps were taken as the research object,and relevant privacy policy texts were analyzed from five aspects:timeliness of legal response to privacy policies,latest legal fit,text integrity,significance of location,and readability of content.[Result/Conclusion]It is found that the privacy policy has some problems,such as the absence of the responsibility of the management subject of mobile application distribution platform,the lack of self-regulation by service providers,and the unequal status between service providers and users.In order to improve the privacy policy and protect the personal information of users,the self-regulatory organization of the industry should be established to implement the service and supervision of the industry;to enhance user engagement and balance the relationship between users and service providers;to build a cooperative governance system of self-regulation of service providers and supervision of regulatory authorities;to improve the information sensitivity and information literacy of Internet users.