FUBU-EPSTEIN: A Large-Scale Twitter Dataset on the Jeffrey Epstein Case and Its Global Public Discourse (2019-2023)

Published in arXiv, 2026

FUBU-EPSTEIN is a large-scale research corpus for studying global public discourse around the Jeffrey Epstein case on Twitter from 2019 to 2023. The release covers 54.38 million statuses by 7.11 million users, enriched with social-contact graph structure and annotations for sentiment, conspiracy and misinformation stance, toxicity, moral emotion, and related dimensions. The public derivative is textless and de-identified, supporting longitudinal content and diffusion analysis while reducing disclosure and platform-content redistribution risks.

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Bibtex

@misc{kreil2026fubu,
  title={FUBU-EPSTEIN: A Large-Scale Twitter Dataset on the Jeffrey Epstein Case and Its Global Public Discourse (2019-2023)},
  author={Kreil, Michael and Stöber, Tristan Manfred and Schroeder, Daniel Thilo},
  year={2026},
  eprint={2608.10210},
  archivePrefix={arXiv},
  primaryClass={cs.SI},
  doi={10.48550/arXiv.2608.10210}
}