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生成式人工智能技术在显著提升信息生产效率的同时,也因其技术特性加剧了虚假信息的生成与传播,引发社会不稳定问题。以风险管理理论为基础,系统梳理生成式人工智能背景下虚假信息传播的治理现状,剖析其传播特点与社会影响;结合信息传播理论核心框架,从传播主体、传播内容、传播媒介、传播受众、传播效果5个维度,构建生成式人工智能虚假信息传播风险评价指标体系,并运用层次分析法确定各层级指标权重。研究最终构建出包含27项具体指标的完整评价体系。结果显示,传播内容风险在指标体系中权重居首,其次是传播效果风险、传播媒介风险等。研究成果可为精准识别、科学评估生成式人工智能虚假信息传播风险提供有益参考和指导。

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