构建首个社交媒体烟草视频数据集，助力公共健康干预研究
Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media
- 采集5730段社交平台烟草视频，含430万帧与用户互动数据
- 用视觉语言模型识别出电子烟等产品使用场景，分类准确率高
- 发现电子烟内容更受关注，可指导精准公共健康宣传
公共健康倡导数据集（PHAD）是首个从TikTok和YouTube等社交平台收集的烟草相关视频数据集，共包含5,730个视频、430万帧图像及详细的元数据，如用户互动指标、视频描述和搜索关键词。该数据集首次整合多模态信息，为分析烟草内容传播提供重要资源。研究采用两阶段分类方法，结合视觉-语言编码器，在识别不同烟草产品及使用场景方面表现优异。分析显示，电子烟和蒸汽烟相关内容用户参与度显著更高，凸显了针对性公共健康干预的必要性。PHAD推动了公共健康研究中的多模态数据应用，有助于制定更有效的监管政策与公共卫生策略。
原文摘要 · Abstract (English)
The Public Health Advocacy Dataset (PHAD) is a comprehensive collection of 5,730 videos related to tobacco products sourced from social media platforms like TikTok and YouTube. This dataset encompasses 4.3 million frames and includes detailed metadata such as user engagement metrics, video descriptions, and search keywords. This is the first dataset with these features providing a valuable resource for analyzing tobacco-related content and its impact. Our research employs a two-stage classification approach, incorporating a Vision-Language (VL) Encoder, demonstrating superior performance in accurately categorizing various types of tobacco products and usage scenarios. The analysis reveals significant user engagement trends, particularly with vaping and e-cigarette content, highlighting areas for targeted public health interventions. The PHAD addresses the need for multi-modal data in public health research, offering insights that can inform regulatory policies and public health strategies. This dataset is a crucial step towards understanding and mitigating the impact of tobacco usage, ensuring that public health efforts are more inclusive and effective.
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