| 标题 |
 MAGE-fend: Multimodal adaptive fusion with guidance from LLM expertise for fake news detection on short video platforms 相关领域
计算机科学
多媒体
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| 网址 | |
| DOI | |
| 其它 | The proliferation of fake news on short-video social media platforms presents significant challenges to public awareness and social stability. While prior research has largely concentrated on text-image fake news, fake news in video format remains underexplored due to limited dataset availability and the complexities of multimodal analytical techniques. To bridge these gaps, we introduce TikCron, a large-scale, open-source dataset of short videos collected from Douyin (TikTok China). TikCron provides news videos and rich social context, specifically curated for studying pandemic-related misinformation in the health and political domains. Furthermore, we propose MAGE-fend (Multimodal Adaptive Fusion Guided by LLM Expertise), a novel framework that utilizes Large Language Models (LLMs) to extract high-level semantic information from images and provide inferential reasoning to enhance fake news detection. |
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(2025-6-4)
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