TBBT: r/fatpeoplehate Ban Intervention (2015)
A dataset from The Big Ban Theory (Cerulli et al., ICWSM 2026) on the June 2015 ban of r/fatpeoplehate: 111,751 posts in the subreddit in the three months before the ban, and 39,427 posts in v/fatpeoplehate on Voat, where the community moved, in the three months after it. Each record holds the post ID, text, pseudonymized author, community, score and time. Suitable for deplatforming research, community migration and pre/post intervention analysis.
Cite this dataset at
tbbt-2015-fatpeoplehate.echo.directory
Analytics
The full graph has 1,531 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 15 topics
Topic 12
Topic 13
Topic 14
Computed over the full corpus.
Record
- Catalog key
tbbt-2015-fatpeoplehate- Authors
- Cerulli, Aldo; Cima, Lorenzo; Tessa, Benedetta; Tardelli, Serena; Cresci, Stefano
- Year
- 2026
- Source paper
- The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
- DOI / arXiv
- 10.1609/icwsm.v20i1.42780
- License
- CC BY-NC-ND 4.0 (CC-BY-NC-ND-4.0)
- Records
- 151,178
- Nodes
- 1,531
- Edges
- 1,982 (directed)
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2015 (3 months pre/post ban) (2010s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/18245670 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-21, 56.8 MB across 2 files. Checksums in MANIFEST.json.
Citations
The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
Aldo Cerulli, Lorenzo Cima, Benedetta Tessa, S. Tardelli, Stefano Cresci
Journal Article · Proceedings of the International AAAI Conference on Web and Social Media · 2026
Cited by
- Quantifying feature importance for online content moderation
Benedetta Tessa, Alejandro Moreo et al. · EPJ Data Science · 2025 · cited 3× - COMPASS: The 2nd International Workshop on Socio-technical Approaches to Content Moderation and Platform Governance
Robyn Caplan, Stefano Cresci et al. · Proceedings of the 2026 Companion of the Computer-Supported Cooperative Work and Social Computing · 2026 · cited 0× - Control-Theoretic Content Moderation
Benedetta Tessa, S. Tardelli et al. · 2026 · cited 0× - Contextualized Counterspeech Can Be More Persuasive Than Generic Counterspeech
Lorenzo Cima, Alessio Miaschi et al. · arXiv.org · 2026 · cited 0×
Citation data from Semantic Scholar, retrieved 2026-10-22.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@article{Cerulli_2026,
title = {The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions},
volume = {20},
issn = {2162-3449},
url = {http://dx.doi.org/10.1609/icwsm.v20i1.42780},
doi = {10.1609/icwsm.v20i1.42780},
number = {1},
journal = {Proceedings of the International AAAI Conference on Web and Social Media},
publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
author = {Cerulli, Aldo and Cima, Lorenzo and Tessa, Benedetta and Tardelli, Serena and Cresci, Stefano},
year = {2026},
month = May,
pages = {2756–2767}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Cerulli, A., Cima, L., Tessa, B., Tardelli, S., & Cresci, S. (2026). TBBT: r/fatpeoplehate Ban Intervention (2015) [Data set]. https://doi.org/10.1609/icwsm.v20i1.42780
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Cerulli, Aldo, et al. TBBT: r/fatpeoplehate Ban Intervention (2015). 2026, doi.org/10.1609/icwsm.v20i1.42780.
