[目的/意义]分析生成式人工智能情境下网络舆情的复杂性，挖掘智能生成网络舆情风险要素，对网络舆情风险治理和决策具有重要意义。[方法/过程]运用WSR方法论构建物理、事理、人理三个维度下网络舆情风险要素指标体系，结合模糊DEMATEL和AHPsortⅡ方法进行网络舆情风险测度分析，并以成都拆迁造谣事件为实证案例进行深入探讨。[结果/结论]基于实证数据结果，从物理、事理、人理三个层面提出了针对性的网络舆情风险管理策略，旨在为相关部门及公众提升网络舆情风险应对能力提供有价值的参考。

[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.