[Purpose/significance] Analyzing the complexity of network public opinion in the context of generative arti⁃ficial intelligence and exploring the risk factors of intelligent generation network public opinion are of great signifi⁃cance for the governance and decision-making of network public opinion risks. [Method/process] This article uses the WSR methodology to construct an indicator system for network public opinion risk elements in three dimensions: physi⁃cal, rational, and human. At the same time, it combines fuzzy DEMATEL and AHPsortⅡ methods to measure and ana⁃lyze network public opinion risk, and uses the Chengdu demolition rumor incident as an empirical case for in-depth ex⁃ploration. [Result/conclusion] Based on empirical data results, this article proposes targeted risk management strate⁃gies for network public opinion from three levels: physical, physical, and human, aiming to provide valuable references for relevant departments and the public to enhance their ability to respond to network public opinion risks.