A Comparative Study Of Domestic Knowledge Payment Platforms

In the era of mobile Internet,three forces are pushing the knowledge payment platform to come under the spotlight: the upgrade of user consumption,the penetration of mobile payment tools,and the rapid development of Internet technologies.This paper mainly studies the typical knowledge payment platform model in China,and takes “zhihulive” and “iget APP” as case studies,and compares them,hoping to provide some enlightenment to the domestic knowledge payment platform.The preceding chapter introduce the phenomenon of knowledge payment and combs the previous research content of knowledge payment,try to define knowledge payment,introduce its characteristics and development process,and classify domestic knowledge payment platforms.The middle part take Zhihulive and Iget APP as typical cases,respectively,to analyze the content production characteristics,realization path,communication characteristics,current situation and reasons of community and public intellectuals' platforms.Through data collection,non-participatory observation and indepth interviews,the author find that the community-based knowledge payment platform Zhihulive,whose content producers mostly come from the original community,and still have some characteristics of the community,including large-scale users,diversified content,good interaction and so on.Public Intellectual Knowledge Payment Platform Iget APP produces professional content by introducing head content producers,so the pay column is its core content.Public Intellectual Knowledge Payment Platform,driven by fan effect,has the characteristics of strong user stickiness,excellent content,brand effect and so on.By comparing the two platforms and summarizing their advantages and disadvantages,the author summarized four enlightenments in the rest chapter: insisting on content as king,focusing on subdividing areas,focusing on knowledge service and quality,hoping to provide some reference for the healthy development of domestic knowledge payment platforms.