[Purpose/significance]Preprints have emerged as a novel form of academic communication and dissemina-tion of the latest research findings.As the role of preprints in scholarly communication becomes increasingly signifi-cant,there is a growing need to cultivate preprint literacy among researchers and users.[Method/process]This paper employs a combination of literature review and online survey methods to comprehensively analyze the connotation and components of preprint literacy.It discusses the necessity of libraries enhancing researchers'preprint literacy and pro-poses specific pathways for libraries to improve users'preprint literacy capabilities.[Result/conclusion]Preprint liter-acy is the awareness,knowledge and ability that researchers should have when using and participating in preprints and related platforms.Preprint literacy covers six key dimensions:cognition,needs,awareness,ethics,evaluation and com-petence.Libraries,as an important institution in the knowledge transfer and academic communication system,should take the responsibility of cultivating preprint literacy among researchers.Libraries should take the initiative to adapt to the new mode of academic communication,incorporate preprints into the collection resources system,publicize the val-ue of preprints to researchers,enhance researchers'knowledge and ability to use preprints,and continuously improve their preprint literacy.
[Purpose/significance]The public online health information search is increasing,and short video platforms have become an important health information medium.There exists a large amount of false health information on the short video platforms,which may be adopted by users.Therefore,analyzing driving factors of false health information adoption of short video users is conducive to the governance of false health information on the short video platforms and the optimization of online health information ecology.[Method/process]To clarify the driving factors of false health in-formation adoption behavior of short video users,this study has contextualized opportunity appraisals(perceived emo-tional support and perceived information superiority),threat appraisals(perceived risk and perceived barriers)and sec-ondary appraisals(health information literacy)under the short video platform context based on coping theory.[Result/conclusion]For primary appraisal,in opportunity appraisal,short video users'perceived information superiority exerts positive significant effect on their false health information adoption,while in threat appraisal,short video users'per-ceived risk exerts negative significant effect on their false health information adoption.For secondary appraisal,the health information literacy of short video users negatively and significantly affects their false health information adop-tion.This study has enriched the online community health information research,extended the research context of coping theory,and clarified the driving factors of false health information adoption of short video users.
[Purpose/significance]Explaining structure and evolution of science data policy can promote the construc-tion of science data management system and improve the level of open sharing of science data.[Method/process]This paper constructs a three-dimensional analysis framework based on policy citations,policy subjects and policy themes,and uses the literature research method and social network analysis method to explore the structure and evolution of central level science data policies from 2001 to 2022.[Result/conclusion]It is found that the policy evolution can be divided into four stages:the initial stage,the development stage,the transitional stage,and the innovative stage;at the policy networks of the four stages,the structural features of policy citations,subjects and themes are different.The sus-tainable development of policies benefits from legal protection and top-level planning,the division and collaboration government departments,and the coordination of science data sharing platform and system.To create open and shared science data ecology,the governments should formulate science data strategic plan,build a national integrated science data sharing platform,and accelerate the construction of data security system.
[Purpose/significance]Think tanks play an increasingly important role in national governance,and the study of knowledge innovation of think tanks is important in improving the service level of think tanks and enhancing the core competitiveness of think tanks in China.[Method/process]The article first defines the connotation of knowl-edge innovation of think tanks,and summarizes the special characteristics of the innovation such as cost constraints,based on specific business and development stage of think tanks.Secondly,it analyzes the knowledge innovation level of think tanks,determines that the knowledge innovation of think tanks is divided into two levels:project innovation and organization innovation,and summarizes the subject,motivation,goal and characteristics of the two levels innova-tion.Finally,a process model of knowledge innovation in think tanks is proposed based on the two innovation levels.[Result/conclusion]The realization of knowledge innovation requires certain conditions,and think tanks need to pro-vide corresponding safeguards in terms of organizational resources,organizational systems,organizational structures,management styles,and organizational cultures,so as to promote continuous knowledge innovation,increase knowledge assets,and improve the competitiveness of think tanks.
[Purpose/significance]Algorithm recommendation APP has attracted a large number of users,and improv-ing user retention has been the focus of all kinds of APP.This study explores the influencing factors of user churn be-havior,and provides suggestions and countermeasures to reduce user churn and improve user experience.[Method/process]The paper obtained 9772 comments from the users of the algorithm recommendation APP.The grounded theo-ry was applied to code the data to clarify the influencing factors of user churn behavior and build the influencing factors model of user churn behavior of the algorithm recommendation APP.[Result/conclusion]Information factors,environ-mental factors,system factors,and online communities influence user churn behavior by affecting users'sense of con-trol,and users'information literacy plays a moderating role in the sense of control and user churn behavior.
