MADOC: Voat / funny
A MADOC (Voat, funny) dataset of 17,128 users and 82,319 reply edges from 143,945 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.
Cite this dataset at
madoc-voat-funny.echo.directory
Analytics
The full graph has 17,128 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
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Sampled: text metrics from 50K of 143.9K records; topic model from 20K. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)
Record
- Catalog key
madoc-voat-funny- Authors
- Dankulov, Marija Mitrović; Tomašević, Aleksandar; Maletić, Slobodan; Anđelković, Miroslav; Vranić, Ana; Cvetković, Darja; Stupovski, Boris; Vudragović, Dušan; Major, Sara; Bogojević, Aleksandar
- Year
- 2025
- Source paper
- MADOC: Multi-Platform Aggregated Dataset of Online Communities
- DOI / arXiv
- 10.1609/icwsm.v19i1.35954
- License
- Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
- Records
- 143,931
- Nodes
- 17,128
- Edges
- 82,319 (directed)
- Nodes are
- user
- Edges are
- reply
- Attributes
- nodes have no attributes; edges have no attributes
- Text corpus
- post text
- Languages
- en
- Collected
- 2012 to 2024 (2010s, 2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/15690964 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 21.0 MB across 1 files. Checksums in MANIFEST.json.
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{dankulov2025madoc,
title = {{MADOC: Multi-Platform Aggregated Dataset of Online Communities}},
author = {Dankulov, Marija Mitrović and Tomašević, Aleksandar and Maletić, Slobodan and Anđelković, Miroslav and Vranić, Ana and Cvetković, Darja and Stupovski, Boris and Vudragović, Dušan and Major, Sara and Bogojević, Aleksandar},
journal = {Proceedings of the International AAAI Conference on Web and Social Media (ICWSM)},
volume = {19},
year = {2025},
doi = {10.1609/icwsm.v19i1.35954}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Dankulov, M. M., Tomašević, A., Maletić, S., Anđelković, M., Vranić, A., Cvetković, D., Stupovski, B., Vudragović, D., Major, S., & Bogojević, A. (2025). MADOC: Voat / funny [Data set]. https://doi.org/10.1609/icwsm.v19i1.35954
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Dankulov, Marija Mitrović, et al. MADOC: Voat / funny. 2025, doi.org/10.1609/icwsm.v19i1.35954.