A Research Framework of Service Efficiency of Chinese Government New Media during the Post-epidemic Period

Abstract

As main body with the functions of information dissemination and multi-connection, the new media platform includes mainstream media, government accounts to social media. The setting of news topics in mainstream media and government new media has strengthened positive emotions. The rich emotional opinions of new media users and media content have been integrated into a new situational system, which has deepened the dissemination and influence of new media content. During the post-epidemic period, Chinese government new media should continue to think about how to further improve the service efficiency of new media. In this regard, a unified research framework has not yet been formed. Therefore, this paper fills this gap by proposing a research framework that integrates multi sources of media platforms (i.e., government new media) during the post-epidemic period. Based on the previous literature review and data collection, this research proposes that the subject content and user emotions of new media are two key factors affecting the efficiency of government new media services as well as the core tasks for the new media operation; then select some typical government new media accounts for case analysis by using the content analysis method and sentiment analysis method. Finally, the research focuses on putting forward practical measures to improve the operation of government new media, such as how to expand user participation through topic content editing and user comment observation, and how to encourage them to participate in the dissemination, reporting, verification and rumor refuting of major social events in the post-epidemic period.