Intelligent Governance of Fake News on Online Platforms in the Digital Economy Era—A Study on Key Node Identification Based on Multi-Indicators Fusion

在数字经济智能化背景下探讨了虚假信息在数字生态中的传播机制及治理策略。研究提出了一种基于多指标融合的关键节点识别模型，整合了度中心性、中介中心性、特征向量中心性和PageRank算法，通过权重网络搜索优化、准确率、精确率、召回率、F1-score，实现了对社交平台中“超级传播者”的精准识别。论文还通过数据可视化和传播路径分析揭示了虚假信息在媒体平台中的扩散规律，为平台制定实时监控和干预措施提供了理论依据和实践指导，进而保护消费者权益，维护市场公平。In the context of digital economy intelligence, this paper explores the propagation mechanisms and governance strategies of fake news within the digital ecosystem. A key node identification model based on the dynamic integration of multiple indicators is proposed, which integrates degree centrality, betweenness centrality, eigenvector centrality, and the PageRank algorithm. Through weighted network search optimization, accuracy, precision, recall and F1-score, the model precisely identifies “super-spreaders” on social platforms. The paper also reveals the spread patterns of false information on relevant platforms through data visualization and propagation path analysis, providing a theoretical basis and practical guidance for the platforms to formulate real-time monitoring and intervention measures, thereby protecting consumer rights and maintaining market fairness.