分析AI生成图片在Reddit上的传播规律，揭示其病毒式扩散机制。
When GenAI Meets Fake News: Understanding Image Cascade Dynamics on Reddit
- 结合文本情感、视觉特征与传播指标，构建传播预测框架。
- 准确预测帖子即时传播（AUC=0.83）和长期扩散（AUC=0.998）。
- 为治理虚假视觉内容提供实证依据，适合平台安全研究者参考。
人工智能生成内容与虚假信息在社交网络中日益普遍。尽管以往研究多聚焦文本类误导信息，较少关注视觉内容在传播中的作用。本文首次对五个意识形态多元的Reddit社区中，虚假信息与AI生成图像通过转发传播的动态进行大规模分析。通过融合文本情感、视觉属性及扩散指标（如首次转发时间、社区覆盖范围），我们的框架能准确预测帖子级的即时传播（AUC=0.83）与长周期级的传播规模（AUC=0.998）。研究结果为在线合成与误导性视觉内容的治理提供了关键洞见。
原文摘要 · Abstract (English)
AI-generated content and misinformation are increasingly prevalent on social networks. While prior research primarily examined textual misinformation, fewer studies have focused on visual content's role in virality. In this work, we present the first large-scale analysis of how misinformation and AI-generated images propagate through repost cascades across five ideologically diverse Reddit communities. By integrating textual sentiment, visual attributes, and diffusion metrics (e.g., time-to-first repost, community reach), our framework accurately predicts both immediate post-level virality (AUC=0.83) and long-term cascade-level spread (AUC=0.998). These findings offer essential insights for moderating synthetic and misleading visual content online.
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