This invention provides a method and
system for pre-analyzing the
impact of public figures' statements based on multi-agent intelligence. The method includes: first, a social background generation module retrieves
background information and related social issues of the public figure in parallel, constructing a semantic environment that closely resembles reality. Then, the core multi-agent discussion module is activated, driving multiple agents to conduct multiple rounds of simulated discussions. This process is not simple text analysis, but a
dynamic simulation of the clash of
viewpoints, the evolution of positions, and the
fermentation of public opinion in real society. Finally, the
consequence analysis module outputs a structured, multi-dimensional risk report based on the
simulation results. This transforms an invisible, future public opinion risk into a quantifiable and analyzable "sandbox
simulation" result through technological means, achieving a fundamental shift from "passive
firefighting" to "proactive
fire prevention." Its technological superiority is unmatched by existing post-event negative situation
analysis tools.