  Artificial Intelligence Generated Content (AIGC) technology development has
facilitated the creation of rumors with misinformation, impacting societal,
economic, and political ecosystems, challenging democracy. Current rumor
detection efforts fall short by merely labeling potentially misinformation
(classification task), inadequately addressing the issue, and it is unrealistic
to have authoritative institutions debunk every piece of information on social
media. Our proposed comprehensive debunking process not only detects rumors but
also provides explanatory generated content to refute the authenticity of the
information. The Expert-Citizen Collective Wisdom (ECCW) module we designed
aensures high-precision assessment of the credibility of information and the
retrieval module is responsible for retrieving relevant knowledge from a
Real-time updated debunking database based on information keywords. By using
prompt engineering techniques, we feed results and knowledge into a LLM (Large
Language Model), achieving satisfactory discrimination and explanatory effects
while eliminating the need for fine-tuning, saving computational costs, and
contributing to debunking efforts.
