TrustNet — Cresci-2017 Bot Detection Subset
A Twitter dataset of 4,465 labeled Twitter accounts (991 bots, 3474 genuine), collected by Ashu273k — curated subset of Cresci et al. (2017). Each record contains user profile features (followers, friends, statuses, favourites, listed count), binary bot/genuine label, user bio text. Small, clean subset of the Cresci-2017 dataset curated for rapid prototyping and benchmarking of bot detection models, with pre-extracted user-level features and binary labels. Suitable for bot detection, social spambot classification, feature selection for account authenticity, rapid prototyping of detection algorithms.
Cite this dataset at
trustnet.echo.directory
Analytics
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Computed over the full corpus.
Record
- Catalog key
trustnet- Authors
- Cresci, Stefano; Di Pietro, Roberto; Petrocchi, Marinella; Spognardi, Angelo; Tesconi, Maurizio
- Year
- 2017
- Source paper
- The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race
- DOI / arXiv
- 10.1145/3041021.3055135
- License
- MIT (repository; derived from Cresci et al. 2017) (MIT)
- Records
- 4,465
- Text corpus
- user bio text
- Languages
- en
- Collected
- 2017 (2010s)
- Tasks
- Bot detection (binary;
is_bot) inferred - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/ashu273k/TrustNet link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 3.1 MB across 4 files. Checksums in MANIFEST.json.
Citations
The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race
S. Cresci, R. Di Pietro, M. Petrocchi, A. Spognardi, Maurizio Tesconi
Book · The Web Conference · 2017
Cited by
- Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature
Joshua A. Tucker, A. Guess et al. · 2018 · cited 1.1K× - Deep Neural Networks for Bot Detection
Sneha Kudugunta, Emilio Ferrara · Information Sciences · 2018 · cited 525× - Disinformation and social bot operations in the run up to the 2017 French presidential election
Emilio Ferrara · First Monday · 2017 · cited 507× - Scalable and Generalizable Social Bot Detection through Data Selection
Kai-Cheng Yang, Onur Varol et al. · AAAI Conference on Artificial Intelligence · 2019 · cited 426× - Arming the public with artificial intelligence to counter social bots
Kai-Cheng Yang, Onur Varol et al. · Human Behavior and Emerging Technologies · 2019 · cited 421×
Show all 10
- A decade of social bot detection
S. Cresci · Communications of the ACM · 2020 · cited 344× - Measuring objective and subjective well-being: dimensions and data sources
Vasiliki Voukelatou, Lorenzo Gabrielli et al. · International Journal of Data Science and Analysis · 2020 · cited 323× - TweepFake: About detecting deepfake tweets
T. Fagni, Fabrizio Falchi et al. · PLoS ONE · 2020 · cited 296× - Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh, Onur Varol et al. · International Conference on Information and Knowledge Management · 2020 · cited 252× - TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng, He-Run Wan et al. · International Conference on Information and Knowledge Management · 2021 · cited 251×
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{cresci2017paradigm,
title = {The Paradigm-Shift of Social Spambots},
author = {Cresci, Stefano and Di Pietro, Roberto and Petrocchi, Marinella and Spognardi, Angelo and Tesconi, Maurizio},
booktitle = {Proceedings of WWW 2017},
year = {2017},
doi = {10.1145/3041021.3055135}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2017). TrustNet — Cresci-2017 Bot Detection Subset [Data set]. https://doi.org/10.1145/3041021.3055135
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Cresci, Stefano, et al. TrustNet — Cresci-2017 Bot Detection Subset. 2017, doi.org/10.1145/3041021.3055135.