Research On The Influence Of Weibo Information Quality On Users' Intention To Use Continuously Based On SOR Theory

Weibo is a very representative social media at present,but with the advent of the 5g era,various kinds of social and entertainment platform software are developing rapidly,in particular,the growth of short video platforms has begun to take the share of users Weibo,Weibo and other social platforms into a bottleneck stage of development.How to stand out in the fierce market competition,maintain the user's viscosity and enhance the user's willingness to continue to use is a topic worthy of consideration.The main value of micro-blog as social media is that it provides users with information needs,so the quality of information is the necessary guarantee for the development of micro-blog,and improving the quality of information is an important breakthrough to promote the development of micro-blog.Based on the data of 279 Weibo users and SOR theory,this study investigated the effect of information quality on users' intention to continue using.Based on SOR theory,this paper constructs the relationship model of information quality,user experience,and user intention to use continuously,the information quality is divided into four dimensions: content quality,expression quality,utility quality and carrier quality,the conclusions are as follows:(1)The quality of content,the quality of expression,the quality of utility and the quality of carrier in the dimension of information quality positively affect user experience.(2)User experience positively affects users' willingness to continue using.(3)The content quality,expression quality,utility quality and carrier quality in information quality dimension positively affect the users' intention to continue using.(4)User experience mediates between the quality of information and the willingness to continue using it.The study used data collection and analysis to test hypotheses and models,to generate academic papers,and to propose strategies for the development of social media platforms based on the findings,in the hope that it can provide some reference for social media to overcome the development bottleneck and accumulate users.