Abstract: 【Purpose/significance】To identify and analyze the key influencing factors and interaction mechanisms of online public opin⁃ ion risk in colleges and universities, so as to provide theoretical and practical basis for colleges and universities to manage online pub⁃ lic opinion risk and improve their risk response capability【. Method/process】Firstly, based on the literature research method, the influ⁃ encing factors of university network public opinion risk is analyzed by integrating the theory of information dissemination process and the“five-parts theory”of public opinion; secondly, a system dynamic model is constructed to explore the complex causal relationship of each factor, the sensitivity analysis of the subsystem and its secondary factors is carried out to explore the influence of each factor on the risk of university network public opinion; finally, measures and suggestions for risk management are proposed from the perspective of key factors.【Result/conclusion】The results show that the development heat of public opinion events and the ability to control public opinion risk are the factors that have a greater influence on the risk of university online public opinion, and they play different degrees of influence in different periods of risk evolution, and the degree of influence of the secondary factors of each subsystem on the risk of university online public opinion varies greatly.【Innovation/limitation】Using system dynamics simulation to deeply study the interac⁃ tion between university online public opinion and the influencing factors can help universities adopt more targeted risk response strate⁃ gies, but the influencing factors obtained in this paper are not comprehensive, so further optimization is needed for subsequent re⁃ search.