标题： 多平台在线社区聚合数据集（MADOC） 显示英文标题

标题： Multi-Platform Aggregated Dataset of Online Communities (MADOC)

摘要： 多平台聚合在线社区数据集（MADOC）是一个全面的数据集，通过提供符合FAIR标准的跨平台分析的标准化访问，促进计算社会科学的研究。 MADOC整合并标准化了Bluesky、Koo、Reddit和Voat（2012-2024）的数据，包含1890万篇帖子、2.36亿条评论和2310万位唯一用户。 该数据集通过标准化的交互记录和情感分析，使跨平台的有害行为演变比较研究成为可能。 通过提供UUID匿名化的用户历史记录和被封禁社区活动模式的时间对齐，MADOC支持内容审核影响和平台迁移趋势的研究。 通过Zenodo分发，具有持久标识符和Python/R工具包，该数据集遵循FAIR原则，同时通过伦理聚合公共社交媒体档案来应对后API时代的科研挑战。 显示英文摘要

摘要： The Multi-platform Aggregated Dataset of Online Communities (MADOC) is a comprehensive dataset that facilitates computational social science research by providing FAIR-compliant standardized access to cross-platform analysis of online social dynamics. MADOC aggregates and standardizes data from Bluesky, Koo, Reddit, and Voat (2012-2024), containing 18.9 million posts, 236 million comments, and 23.1 million unique users. The dataset enables comparative studies of toxic behavior evolution across platforms through standardized interaction records and sentiment analysis. By providing UUID-anonymized user histories and temporal alignment of banned communities' activity patterns, MADOC supports research on content moderation impacts and platform migration trends. Distributed via Zenodo with persistent identifiers and Python/R toolkits, the dataset adheres to FAIR principles while addressing post-API-era research challenges through ethical aggregation of public social media archives.