[Purpose/Significance] The consultation question prompt list can guide the consultants to consult in the intelligent question answering system and intelligent consulting system and provide the basis for dynamic consulting guidance.At present,most of the research on the construction of the question prompt list adopt the expert consultation method and the interview method.Those methods can't meet the requirements of intelligent consulting services.[Method/Process] This paper took the diabetes question and answer texts in 120ask Q&A community as an example and proposed consultation question prompt list automatic construction model based on Sentence-BERT semantic representation.This paper first determined the diabetes category system based on the investigation and analysis of diabetes-related literature,and manually labeled the questions;secondly,the LDA model was used to cluster each type of question set;then for each topic the Sentence-BERT model was used to represent the semantics of the questions and the textRank algorithm calculated the importance of the questions and ranked them;after the final redundant processing,consultation question prompt list was constructed.[Result/Conclusion] The experimental results showed that the model proposed in this paper could effectively construct a high-quality and rich-content consultation question prompt list,which promoted consulting guidance

[Purpose/Significance] Social media correction is an essential action to curb the spread of epidemic misinformation.However,there are inconsistent findings regarding the effectiveness of social media in correcting epidemic misinformation.This study attempts to evaluate the effect of correcting epidemic misinformation on social media,providing a useful reference for social media platforms to correct epidemic misinformation and offering a useful guide for public health agencies to formulate countermeasures against epidemic misinformation on social media.[Method/Process] The study systematically collected 16 causal pieces of evidence(N=4515)related to the corrective effect of epidemic misinformation on social media from 13 studies,and adopted a comprehensive quantitative evaluation of the corrective effect of epidemic misinformation on social media using meta-analysis technology,and examined the moderating factors that affected the corrective effect of social media.[Result/Conclusion] The meta-analysis results showed that the corrective effect of epidemic misinformation on social media was significant (d=0.32,[BF]95%CI[0.19,0.44] [BFQ],p<0.001).The analysis of the moderating effect showed that the sample's involvement,sources of misinformation,sources of corrective information,corrective formats,and corrective measures significantly affected the corrective effect of social media.Social networking platforms and corrective expressions little affected the corrective effect of social media

[Purpose/Significance] In the social tagging system,users tag resources through creating or citing tags,and finally the High-frequency social tags set that reflecting the folksonomy have emerged.Analyzing the characteristics of collaborative tagging behavior is helpful to understand the process of collaborative tagging and the emergence of folksonomy.[Method/Process] Taking Douban movie's tags data as an example,this paper analyzes the characteristics and rules of users' collaborative tagging behavior in the social tagging system.[Result/Conclusion] It is found that the characteristics of collaborative tagging behavior are follows:Users tend to use multiple types of tags for tagging,but public tagging constitutes the main body of high frequency tags.Most of the creators of high-frequency tags aren't the senior users of the system,but are followed by a large number of other ordinary users.The formation of high-frequency labeling shows that the folksonomy finally emerged

[Purpose/Significance] Interest data in big data environment is sparse,and there is no effective correlation in user interests.In response to these problems,a User Interest Expansion Model based on Knowledge Graph is proposed.[Method/Process] Starting from the perspective of the association relationship between interests,the model integrated the semantic associations and social network associations in interests through the process of interest modeling,knowledge acquisition and fusion utilization,and constructed an interest knowledge graph.The relationship among Interest Tag Nodes,Hyper Nodes,Encyclopedia Tag Nodes,and Social Network User Nodes was calculated,and the semantic relevance of interest tags and social network relevance were calculated to generate composite relevance weights.And the derivative relationships between interests were reconstructed to achieve user interest expansion.[Result/Conclusion] Experiments show that this model could effectively integrate different types of interest-related knowledge,and greatly improve the coverage and accuracy of user interest.It could improves the comprehensiveness and accuracy of user interest description

[Purpose/Significance] The effectiveness of decision-making roots in accurate intelligence.Evidence-based decision-making liaises the intelligence with the decision-making,and offers a framework of scientific decision-making.Therefore,understanding evidence-based decision making is a key to access the method of effective decision-making,which can maximize the intelligence functions.[Method/Process] Based on the definition of evidence-based decision-making,this article established the fundamental framework and systematic process,and further discussed how to achieve evidence-based decision-making and how to improve the capacity of intelligence work by the evidence-based approach.[Result/Conclusion] The principle of evidence-based decision-making is dependent upon overcoming the intelligence failure and policy failure,which means that the policy process ought to integrate the analysis of scientific intelligence,consideration of organizational facts,elimination of cognitive bias in intelligence analysis,and adjust the policy process by feedback mechanism.Promoting the effectiveness of intelligence work can follow such rationales,which are collaborative work,multi-disciplinary method,utilization of novel techniques and adaption of intelligence work

[Purpose/Significance] By exploring the key factors triggering users' location privacy protection in location-[JP]based service,this research can provide insights for designers,operators,and regulators of location-based service on product design optimization,product service improvement and risk prevention.[Method/Process] By establishing APCO framework model,following the "personality traits-perceived value-location privacy protection" as the main line,the article carried out empirical research on core users of Ctrip,a typical location-based service provider.[Result/Conclusion] The results show that individuals with different personality traits have different cognitions of perceived location service benefit and perceived location privacy risk.Perceived location privacy risk and social influence have positive effect on location privacy protection.Perceived location service benefit has negative effect on location privacy protection.Perceived corporate privacy guarantee has no significant effect on location privacy protection;While privacy experience can weaken the impact of perceived location privacy risk on users' location privacy protection,it has no significant moderating effect on the impact of perceived location service benefit on users' location privacy protections.Hence,in the future,online location service providers can promote differentiated privacy service strategies,and strengthen users' privacy protection management by means of empowerment.Government functional departments should improve relevant privacy supervision measures,and prohibit illegal infringements of personal privacy data

[Purpose/Significance] To explore the influencing factors of information satisfaction and willingness to use of virtual reality readers,and to study the influence of information satisfaction on willingness to use,so as to provide reference for relevant theoretical research and provide reference for virtual reality developers and operators to improve user satisfaction and willingness to use information.[Method/Process] Based on technology acceptance model and user information satisfaction theory,it focused on the influence of information quality,system quality and immersive experience of virtual reality reading on information satisfaction and willingness to use,as well as the influence of user information satisfaction on willingness to use.306 college students were invited to perform VR reading experience.Data were obtained through questionnaire survey,and SPSS and AMOS analysis software were used for data analysis and hypothesis verification.[Results/Conclusions] Through the analysis on virtual reality information quality,system quality and flow experience to the positive effect on user information satisfaction,information quality and system quality had a positive effect on perceived usefulness and perceived ease of use,and user information satisfaction would be positively influence perceived usefulness,and indirectly affected users' willingness to use

[Purpose/Significance] In order to promote the standardization of scientific software citation and improve the efficiency of scientific software utilization in China,this study investigates the current circumstances of Chinese researchers' scientific software usage and citation and explores the reasons why researchers do not mention and cite scientific software that they used in their research.[Method/Process] A questionnaire survey was used to investigate the scientific software selection,usage and citation behavior of Chinese researchers.[Result/Conclusion] Most Chinese researchers believe that scientific software is vital to their research and they frequently use it,however,they are less likely to take part in scientific software development.More than 80% of researchers taking part in scientific software development hope that their software can be cited,whereas nearly 50% of the researchers have not cited the software used in their research due to the lack of software citation awareness,software citation format and so on.Therefore,relevant organizations can promote the standardization of software citation and enhance software sharing and reuse by valuing the contribution of scientific software,producing unified software citation principles,and cultivating researchers' software citation awareness

[Purpose/Significance] In the field of public opinion,the evolution law of hot topics can be better understood by analyzing the evolution trajectory of the life cycle of known topics and comparing the evolution process of hot topics and non-hot topics.[Method/Process] In this paper,TF-IDF algorithm was proposed to select topic feature words by integrating comment influence.On this basis,six kinds of topic evolution forms are proposed by calculating topic strength and similarity.In the evolution stage of the theme,a visualization experiment was carried out by combining the strength of the theme with the content of the theme.[Result/Conclusion] Finally,the theme content and theme intensity in each time window were displayed,and the evolution mode and evolution law of netizens' opinions in public opinion events over time were analyzed and excavated

[Purpose/Significance] The value of emoji in the analysis of network public opinion gradually appear,but emoji in complex network environment presents dynamic characteristics such as context dependence and emotional polarity diversification.The study of the dynamic change law of emoji is not only helpful to enrich the understanding of the use of emoji,but also to improve the accuracy and effectiveness of public opinion analysis.[Method/Process] Based on the multi-angle analysis of emoji usage distribution and emotion change in Weibo comments,this paper excavates the dynamic change law of emoji and establishes the web public opinion tendency analysis model which integrates the dynamic characteristics of emoji.[Result/Conclusion] The comparative experiment of Weibo public opinion tendency analysis based on emoji shows that the regular change of emoji expression emotion has a positive effect on the analysis of public opinion tendency,and the introduction of emoji dynamic characteristics can effectively improve the recognition accuracy of emotion analysis

[Purpose/Significance] This article attempted to propose an automated policy text quantification method,explored the impact of policies on scientific research topics,and provide references for trend forecasting,frontier identification,and future scientific research topics.[Method/Process] The paper took the new-energy vehicle field in the emerging sectors of strategic importance as an example,comprehensively used the literature research method,expert consultation method,and policy tools,characterized the policy text as a word vector,and then used feature expansion to identify key policy texts,extracted the policy keyphrases represent the theme of the policy.We used the thesis theme,choose the LDA model to extract the topic,through the comparative analysis of the public policy and thesis topic to explore the influence of policies on scientific research topics.[Results/Conclusions] The empirical research shows that the method proposed in the article can realize the automatic decomposition of the policy;it proves that the policy has a certain degree of influence on the selection of scientific research topics,and provides suggestions for frontier identification and trend prediction research

[Purpose/Significance] In order to reflect the interdisciplinary feature in the process of knowledge acquisition and knowledge accumulation,this paper puts forward a new perspective of interdisciplinary research,book borrowing behavior.The interdisciplinary measurement indexes are transferred to the book borrowing scene to measure the interdisciplinary feature,which is helpful to improve the discipline construction and library services.[Method/Process] Building interdisciplinary network based on the co-borrowing relationship of books,introduced network coreness,Brillouin index,Jaccard index and network density indexes,to measure the interdisciplinary features in the disciplinary field,and took the borrowing data of Hubei Institute of Fine Arts Library as an example,makes an empirical research on the interdisciplinary features in the subfields of Literature and Art.[Result/Conclusion] The empirical results showed that the perspective and measurement method of book borrowing behavior in this paper could effectively reveal the interdisciplinary features in the process of readers' knowledge acquisition and accumulation,which enriched the interdisciplinary research perspective and analysis method,expanded the application field of book borrowing data,and provided guidance for library to carry out discipline construction and improve the quality of reader service

[Purpose/Significance] The annual report of listed companies is the authoritative disclosure of financial performance and strategic trends of enterprises,which provides a channel to monitor the operation and management behavior of industrial competitors.[Method/Process] Considering for information organization characteristics of company annual report,an industrial competitive intelligence analysis methodology system was established by integrating data mining,text mining,and social network analysis.An empirical study focused at integrated circuit(IC)industry was conducted in to explore the potential path of business cooperation and social network by analyzing company annual report from China's GEM,so as to provide intelligence support for enhancing the industrial competitiveness.[Result/Conclusion] It is found that IC listed companies can strengthen business cooperation in manufacturing and application by text mining.Depending on the social network of institutional shareholders,IC listed companies can establish a resource network which is different from business cooperation.Finally,suggestions for IC industry development are put forward

[Purpose/Significance] Exploring the application of blockchain technology in "Scientific Data Management Rule" is of great significance to expand the application of the blockchain and promote the effective implementation of the "Scientific Data Management Rule".[Method/Process] Firstly,this article summarized the real dilemma faced by "Scientific Data Management Rule" implementation.Then,combined with the core technology of the blockchain,and analyzed the coupling between the blockchain and the "Scientific Data Management Rule".Finally,the implementation path of the "Scientific Data Management Rule" based on blockchain is proposed.[Result/Conclusion] We found that,the implementation dilemmas of the "Scientific Data Management Rule" included the formulation of data management planning,data collection and storage,data sharing and utilization,data confidentiality and security,data management performance evaluation,etc.It is possible to build a scientific data management ecosystem and alliance chain,control the full life cycle of scientific data,and introduce corresponding incentive systems based on blockchain

[Purpose/Significance] Through the investigation and analysis of the situation of opening and sharing government data under the process of smart city construction,with the purpose to promote the full opening and orderly sharing of government data,and to form a good trend of data-driven urban development.[Method/Process] This paper selected ten cities with rich construction experience in the first batch of pilot smart cities as research samples,and investigated the situation of opening and sharing government data in ten cities through the website statistics and content analysis.[Result/Conclusion] The situation of opening and sharing government data under the process of smart city construction needed to be further promoted.There were problems such as the absence of national legislation,weak responsibility awareness,and urban data gaps.To solve these problems,an opening and sharing mechanism coordinated with policy guarantees,multi-subject collaboration,platform construction and technology collaboration will be built

[Purpose/Significance] Based on the technology adoption and application integration theory(UTAUT)and combining with the characteristics of open government data,a user adoption model for open government data is proposed.[Method/Process] This paper pointed out the influence of perceived risk,performance expectation,effort expectation,social influence and other factors on users' adoption intention,as well as the influence of convenience and adoption intention on adoption behavior.The collected questionnaires were analyzed by PLS-SEM(Partial Least Squares-Structural Equation Model).[Results/Conclusion] Performance expectation,effort expectation and social influence had significant effects on adoption intention of open government data,and adoption intention had significant effects on adoption behavior.However,perceived risk had no significant effect on the willingness to adopt open government data,and convenience had no significant effect on the adoption behavior of open government data

[Purpose/Significance] China Information Science Annual Conference and Information Science and Information Work Development Forum is a well-known academic conference in the field of information science in China.It is also an important platform to strengthen exchanges and cooperation between the Chinese information science community and the industry,and to showcase the development trend of information science and intelligence work.From December 5 to December 8,2020,the 2020 China Informatics Annual Conference and Informatics and Intelligence Work Development Forum with the theme of "Addressing an Uncertain Future:Missions and Challenges of Informatics and Intelligence Work" was held in Guangzhou.The timely summary of the relevant results of the conference is helpful to the sharing and understanding of new ideas and new results,and provides a certain reference for more colleagues in the future research.[Method/Process] This article took the papers collected in this conference as the review object,summarized the papers in termes of research theme,and selected representative papers to sort out the theme content.[Results/Conclusions] The papers of this year's conference focused on the frontiers and hot issues of information science and intelligence work,and fully demonstrated the current frontier research results of information science and information work in the development of disciplines and careers,and generally presented rich research methods Diversity,cross integration of research themes,and open and inclusive research horizons