[Purpose/significance]This study aims to provide valuable references for future research and governance practices by reviewing the research on the governance of Internet information's content ecosystem in China.[Method/process]This paper collects literature data from the core journal library of CNKI, reveals the macro situation of this topic research by using the bibliometric method, selects the literature that meets the quality standards by using the systematic review method, summarizes relevant studies from four dimensions: governance bodies, governance objects, governance tools and governance mechanisms.[Result/conclusion]The co-governance of multi-subjects  has become the basic consensus of the academic circle. Solving the problem of subjects failure and promoting the coordination of subjects is one of the focuses of attention in recent years. Current research has broken through the information content itself, and all kinds of subjects, technologies and background environment related to the production, dissemination and use of information content have become research objects. Governance tools can be classified into three categories: regulation tools, promotion tools and educational guidance tools. It has become a consensus of the government and most scholars to strengthen the effectiveness of governance tools with the help of digital intelligence technology. Governance mechanism can also be summarized and divided into three stages: before, during and after. In the future, more studies should be carried out from the overall perspective of the governance of internet information's content ecosystem, it is necessary to strengthen the research on the governance of internet positive information's content ecosystem and the algorithm security about internet information's content ecosystem.

[Purpose /significance]In the event of an emergent epidemic, the community is an important channel for vulnerable  groups to obtain emergency information, and understanding the information needs of vulnerable groups will help the community accurately provide information services, promote the emergency information reserves of the residents in the jurisdiction, and enhance their satisfaction. [Method/process]Taking the emergent epidemic as the background,the study combines the important information categories of the epidemic and related literature to investigate the emergency information needs of the disadvantaged groups in the community and classifies each need with the help of KANO questionnaire, in order to determine the priority of the community to optimize the emergency information service. [Result /conclusion]The priorities of emergency information services should be adjusted according to the basic demand,expectation demand,charm demand and irrelevant demand of vulnerable groups. By paying attention to the transformation of emergency needs and broadening the channels of information dissemination, which could guarantee the emergency information needs of vulnerable groups are satisfied.

[Purpose/significance]In the information age with decentralized discourse power, the channels for the public to publicly express their opinions and participate in topic discussions are increasing. The exchange and dissemination of online public opinion on low-ignition events will undoubtedly increase the heat of the event and bring greater pressure and challenges to corporate crisis public relations. [Method/process]Taking "Haitian soy sauce event" as an example, this paper discusses the stage of network public opinion dissemination of the event, uses ROST CM to carry out high-frequency word statistics and public sentiment tendency analysis, and uses Ucinet and Gephi to analyze the social network of the event from four dimensions including network density, network centrality, cohesion in group and point center. [Result/conclusion]This study found that the event public opinion has the characteristics of high public attention, large amount of discussion, large proportion of negative public opinion, and large influence of some opinion leaders. Based on the above characteristics, the countermeasures and suggestions of enterprise crisis public relations are put forward, in order to provide reference for enterprises to deal with the spread of crisis public opinion and eliminate negative effects.

[Purpose/significance]Taking patent infringement as the starting point, this paper explores the influence mechanism of different factors on the tendency of patent infringement declaration, then compares and analyzes the differences in the influencing factors of invalid declaration under different infringement themes in the same field.[Method/process]Firstly, this paper uses the LDA topic model to subdivide the infringement topics in the selected emerging industry field, and understands the different infringement topics and infringement keywords of the infringement patents in this field;Secondly, the statistical correlation model is used to calculate various data indicators under different infringement classification topics and comparatively analyze the correlation between invalid declaration tendencies. Finally,by constructing a multi-feature fusion random forest model, the patents under different infringement classification topics are identified and trained for invalid declaration classification, and the LIME model in machine learning can be explained. Explain the degree of influence of the measurement index features in the model.[Result/conclusion]According to the correlation analysis after topic classification, it is found that under different topic classifications, the selected feature indicators not only have different overall influence on the determination of invalidity after infringement, but also have different influencing factors and influence degree rankings in different classification results. There existed significant differences in the classification rules and classification indicators relied on by different classification topics.

[Purpose/significance]Data and artifical intelligence empowers information resource management, which has a profound impact on archive data and archive information management, and thus puts forward new requirements for archive practitioners, thus posing new demands for archive education. The archive academia and industry should face such changes and reform archive education.[Method/process]Starting from the positioning of archival science in the first level discipline of information resource management, based on the analysis of the empowering role of data and artifical intelligence technology and environment in information resource management, this paper explores the direction of archival management reform, and then proposes strategies for archival education reform.[Result/conclusion]Data and artifical intelligence technology empowers information resource management methods and data and artifical intelligence environment empowers information resource management objects, resulting in changes in archive management with "archive data" and "archive information" as the main objects. The management objects and resource content begin to extend, the value of archive data resources is improved, and the deep development of archive data resources oriented towards digital memory is valued, Therefore, it is necessary for archival education to "create new courses", "emphasize foundations", "strengthen applications", "expand widely", and "refine skills", and promote the reform of archival education.