Twitter-bots datasets

These datasets are shared with the research community to advance research of Twitter-bots.

  1. Characterisation dataset
  2. Classification dataset
  3. Clustered dataset

Characterisation dataset, please cite as:

@inproceedings{Gilani:2017:BH:3110025.3110090,
author = {Gilani, Zafar and Farahbakhsh, Reza and Tyson, Gareth and Wang, Liang and Crowcroft, Jon},
title = {Of Bots and Humans (on Twitter)},
booktitle = {Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017},
series = {ASONAM '17},
year = {2017},
isbn = {978-1-4503-4993-2},
location = {Sydney, Australia},
pages = {349--354},
numpages = {6},
url = {http://doi.acm.org/10.1145/3110025.3110090},
doi = {10.1145/3110025.3110090},
acmid = {3110090},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {behavioural analysis, bot characterisation, content propagation, social network analysis},
}

Classification dataset, please cite as:

@inproceedings{Gilani:2017:CTA:3110025.3110091,
author = {Gilani, Zafar and Kochmar, Ekaterina and Crowcroft, Jon},
title = {Classification of Twitter Accounts into Automated Agents and Human Users},
booktitle = {Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017},
series = {ASONAM '17},
year = {2017},
isbn = {978-1-4503-4993-2},
location = {Sydney, Australia},
pages = {489--496},
numpages = {8},
url = {http://doi.acm.org/10.1145/3110025.3110091},
doi = {10.1145/3110025.3110091},
acmid = {3110091},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {account classification, automated agents, bot detection, social network analysis},
}

Clustered dataset, please cite as (relevant draft under submission):

@inproceedings{Gilani:2016:SFT:2872518.2889360,
author = {Gilani, Zafar and Wang, Liang and Crowcroft, Jon and Almeida, Mario and Farahbakhsh, Reza},
title = {Stweeler: A Framework for Twitter Bot Analysis},
booktitle = {Proceedings of the 25th International Conference Companion on World Wide Web},
series = {WWW '16 Companion},
year = {2016},
isbn = {978-1-4503-4144-8},
location = {Montr\&\#233;al, Qu\&\#233;bec, Canada},
pages = {37--38},
numpages = {2},
url = {https://doi.org/10.1145/2872518.2889360},
doi = {10.1145/2872518.2889360},
acmid = {2889360},
publisher = {International World Wide Web Conferences Steering Committee},
address = {Republic and Canton of Geneva, Switzerland},
keywords = {bot analyser, content analysis, information dissemination},
}

Raw and preprocessed datasets:

If you are instead interested in obtaining raw and preprocessed datasets, then please get in touch directly.