AI 中文总结
针对Snap Map无公开API、缺乏城市规模数据采集与交互式探索工具的问题，提出集成平台SnapScope，在利雅得部署采集到51万余条公开快照，94.8%返回观测值为重复项，提供隐私安全数据集且可跨城市部署。
AI 中文摘要
Snapchat的Snap Map是带有地理标记的公开视频和图片故事的短暂流，但该平台没有公开的API，也没有现有工作描述可复现的城市规模数据采集系统，更不存在用于交互式管理和探索采集数据的工具。我们提出SnapScope，这是一个集成平台，将后端采集管道与基于Web的前端配对，用于爬虫管理、交互式数据探索、相邻区域并排比较以及数据导出。我们在沙特阿拉伯利雅得部署该平台，在23天内，对1公里网格上的2740个查询点采集到515364条唯一公开快照。对连续21次运行的饱和探测显示，返回的观测值中有94.8%是已存储记录的重复项。我们提供符合CC BY 4.0的隐私安全聚合数据集。该平台与城市无关，可通过替换网格坐标和边界多边形重新部署。
英文摘要
Snapchat's Snap Map is an ephemeral stream of geotagged public video and image stories, but the platform provides no documented API, no prior work describes a reproducible system for collecting this data at city scale, and no tool exists for managing and exploring the collected data interactively. We present SnapScope, an integrated platform that pairs a back-end collection pipeline with a web-based front end for scraper management, interactive data exploration, side-by-side neighborhood comparison, and data export. We deploy the platform over Riyadh, Saudi Arabia, collecting 515,364 unique public snaps across 23 days on a 1 km grid of 2,740 query points. A saturation probe over 21 consecutive runs shows that 94.8% of returned observations are duplicates of already-stored records. We provide a privacy-safe aggregate dataset under CC BY 4.0. The platform is city-agnostic and redeployable by substituting grid coordinates and boundary polygons.
