Hateful Users on Twitter
A Twitter (hateful user network) dataset of 100,386 users (544 hateful, 4,427 normal, 0 suspended) with 2,286,592 follower edges, collected by Ribeiro et al. via Twitter API (2018). Each record contains user ID, hate label (hateful/normal/suspended), follower/followee/statuses counts, network centrality metrics, 200+ Empath emotional category scores, 300-dim GloVe embeddings, sentiment, subjectivity, tweet engagement statistics. One of the most feature-rich hateful user datasets, with 100,386 Twitter users labeled for hatefulness and supplemented with full network topology, Empath psychological features, and GloVe embeddings. Suitable for hate speech detection, hateful user classification, network-based toxicity analysis, suspended account detection, social influence of hate, graph-based hate propagation.
Cite this dataset at
hateful-users-twitter.echo.directory
Analytics
The full graph has 100,386 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
hateful-users-twitter- Authors
- Ribeiro, Manoel Horta; Calais, Pedro H; Santos, Yuri A; Almeida, Virgilio AF; Meira Jr, Wagner
- Year
- 2018
- Source paper
- Characterizing and Detecting Hateful Users on Twitter
- DOI / arXiv
- 10.1609/icwsm.v12i1.15057
- License
- MIT (repository) (MIT)
- Records
- 100,386
- Nodes
- 100,386
- Edges
- 2,186,206 (directed)
- Nodes are
- user
- Edges are
- retweet
- Attributes
- nodes have attributes; edges have no attributes
- Languages
- en
- Collected
- 2017-2018 (2010s)
- Tasks
- Hate speech detection (binary;
hate_label) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/manoelhortaribeiro/HatefulUsersTwitter link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 495.0 MB across 3 files. Checksums in MANIFEST.json.
Citations
Characterizing and Detecting Hateful Users on Twitter
Manoel Horta Ribeiro, Pedro H. Calais, Yuri A. Santos, Virgílio A. F. Almeida, Wagner Meira Jr
Journal Article · International Conference on Web and Social Media · 2018
Cited by
- The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card et al. · Annual Meeting of the Association for Computational Linguistics · 2019 · cited 1.1K× - The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
Douwe Kiela, Hamed Firooz et al. · Neural Information Processing Systems · 2020 · cited 1K× - HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew, Punyajoy Saha et al. · AAAI Conference on Artificial Intelligence · 2020 · cited 896× - HateBERT: Retraining BERT for Abusive Language Detection in English
Tommaso Caselli, Valerio Basile et al. · WOAH · 2020 · cited 546× - Resources and benchmark corpora for hate speech detection: a systematic review
Fabio Poletto, Valerio Basile et al. · Language Resources and Evaluation · 2020 · cited 517×
Show all 10
- Directions in abusive language training data, a systematic review: Garbage in, garbage out
Bertie Vidgen, Leon Derczynski · PLoS ONE · 2020 · cited 392× - Spread of Hate Speech in Online Social Media
Binny Mathew, Ritam Dutt et al. · Web Science Conference · 2018 · cited 377× - Social Media, Echo Chambers, and Political Polarization
Pablo Barberá · Social Media and Democracy · 2020 · cited 236× - Deep Learning Models for Multilingual Hate Speech Detection
Sai Saketh Aluru, Binny Mathew et al. · arXiv.org · 2020 · cited 192× - SoK: Hate, Harassment, and the Changing Landscape of Online Abuse
Kurt Thomas, Devdatta Akhawe et al. · IEEE Symposium on Security and Privacy · 2021 · cited 190×
Citation data from Semantic Scholar, retrieved 2026-10-19.
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}
}
@inproceedings{ribeiro2018characterizing,
title = {Characterizing and Detecting Hateful Users on Twitter},
author = {Ribeiro, Manoel Horta and Calais, Pedro H and Santos, Yuri A and Almeida, Virgilio AF and Meira Jr, Wagner},
booktitle = {ICWSM},
year = {2018}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Ribeiro, M. H., Calais, P. H., Santos, Y. A., Almeida, V. A. F., & Meira Jr, W. (2018). Hateful Users on Twitter [Data set]. https://doi.org/10.1609/icwsm.v12i1.15057
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Ribeiro, Manoel Horta, et al. Hateful Users on Twitter. 2018, doi.org/10.1609/icwsm.v12i1.15057.