Exploring Brazilian TikTok and YouTube Shorts: A Public Dataset for Video Characterization

Short video platforms have garnered significant attention in recent years, with discussions ranging from concerns about inappropriate content and addiction to strategies for maximizing user engagement and screen time. Despite the large user base and growing relevance of these platforms, there is still a notable lack of comprehensive datasets focused on broad recommendation and moderation. This is especially true for TikTok, where API access is limited and collecting unbiased data is challenging. In this collection, we present a diverse and rich dataset from YouTube Shorts and TikTok's main feeds in Brazil, comprising over 35,000 videos. The dataset includes detailed engagement statistics, extensive video metadata, over 170,000 keyframes for visual analysis, and Safe Search API assessments for each keyframe. This rich resource fills a critical data gap, offering valuable tools for research on content categorization, user behavior analysis, and platform engagement strategies.Due to keyframes not being completly dehydratable, for ethical concerns the keyframes folder need to be requested through the following link: https://docs.google.com/forms/d/e/1FAIpQLSdPIwzFR3GJwjhckOTRj7gK_OQTEjNO0K2Q0ow2RKfa4wdY0A/viewform?usp=dialog近年来，短视频平台获得了广泛关注，相关讨论涵盖了不当内容、用户成瘾等争议议题，以及提升用户参与度与延长屏幕使用时长的运营策略等多个维度。尽管此类平台坐拥庞大用户群体且影响力与日俱增，但目前仍显著缺乏聚焦于全域推荐与内容审核的综合性数据集。这一数据缺口在TikTok平台上尤为突出：其API接口权限受限，且难以采集无偏样本数据。本数据集合集收录了来自巴西地区YouTube Shorts与TikTok主信息流的多元丰富数据，共计超过35000条短视频。该数据集包含详细的用户参与度统计数据、完整的视频元数据，以及用于视觉分析的超17万个关键帧（keyframes），同时为每个关键帧提供了安全搜索API（Safe Search API）的审核结果。这一丰富的数据集填补了关键的数据空白，可为内容分类、用户行为分析以及平台参与策略等领域的研究提供极具价值的支撑。鉴于关键帧无法完全实现轻量化存储，出于伦理规范考量，关键帧文件夹需通过以下链接提交申请方可获取：https://docs.google.com/forms/d/e/1FAIpQLSdPIwzFR3GJwjhckOTRj7gK_OQTEjNO0K2Q0ow2RKfa4wdY0A/viewform?usp=dialog