FUBU-EPSTEIN：关于杰弗里·爱泼斯坦案件及其全球公众讨论的大规模Twitter数据集（2019-2023）
FUBU-EPSTEIN: A Large-Scale Twitter Dataset on the Jeffrey Epstein Case and Its Global Public Discourse (2019-2023)
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中文总结 AI 辅助
该研究推出了FUBU-EPSTEIN数据集，包含5438万条Twitter状态等数据，经去标识化处理后发布，支持爱泼斯坦案件相关的计算研究，降低了数据泄露风险。
中文摘要 AI 辅助
杰弗里·爱泼斯坦刑事案件在数字平台上引发了复杂且持续的全球讨论，其特点是注意力的间歇性冲击、阴谋论以及责任归因。为了便于对这些动态进行计算研究，我们推出了FUBU-EPSTEIN数据集，这是一个大规模、多维度的研究语料库，包含711万用户发布的5438万条Twitter状态，收集时间为2019年8月至2023年4月。源语料库以近实时方式持续捕获，并补充了包含3703万条边行的有向社交联系图，以及来自Qwen2.5-7B-Instruct的标注，涵盖情感、阴谋与错误信息立场、毒性、道德情感等维度。为了公开发布，我们创建了一个无文本、去标识化的衍生版本，该版本保留了每条去重状态的一行数据、分类和数值标注、粗略时间信息以及4615万条内部状态关系。它排除了推文文本、原始帖子和用户标识符、用户名、个人资料字段、精确时间戳以及反向映射。发布的数据集支持纵向内容与传播分析，同时降低了信息泄露和平台内容再分发的风险。如需在伦理和法律保障下申请原始数据用于合作研究，请联系此http URL @gmail.com。
英文摘要
The criminal case of Jeffrey Epstein has generated a complex, long-running global discourse on digital platforms, characterized by punctuated attention shocks, conspiracy theories, and blame attribution. To facilitate the computational study of these dynamics, we introduce the FUBU-EPSTEIN dataset, a large-scale, multi-dimensional research corpus of 54.38 million Twitter statuses authored by 7.11 million users and collected between August 2019 and April 2023. The source corpus was captured continuously in near-real time and enriched with a directed social contact graph of 37.03 million edge rows and annotations from Qwen2.5-7B-Instruct covering sentiment, conspiracy and misinformation stance, toxicity, moral emotion, and related dimensions. For public distribution, we created a textless, de-identified derivative that retains one row for every deduplicated status, categorical and numeric annotations, coarse temporal information, and 46.15 million internal status relationships. It excludes tweet text, original post and user identifiers, handles, profile fields, exact timestamps, and reverse mappings. The resulting release supports longitudinal content and diffusion analyses while reducing disclosure and platform-content redistribution risks. To request access to raw data for collaborative research under ethical and legal safeguards, contact fubu.dataset@gmail.com.
