Botornot: A system to evaluate social bots
The work
| Authors | Clayton Allen Davis; Onur Varol; Emilio Ferrara; Alessandro Flammini; Filippo Menczer |
|---|---|
| Editors | |
| Type | inproceedings |
| Year | 2016 |
| Citekey | davis2016botornot |
Where it appeared
| Published in | 25th International Conference Companion on World Wide Web |
|---|---|
| Publisher | Association for Computing Machinery |
| Pages | 273--274 |
Identifiers
| DOI | 10.1145/2872518.2889302 |
|---|
Abstract
While most online social media accounts are controlled by humans, these platforms also host automated agents called social bots or sybil accounts. Recent literature reported on cases of social bots imitating humans to manipulate discussions, alter the popularity of users, pollute content and spread misinformation, and even perform terrorist propaganda and recruitment actions. Here we present BotOrNot, a publicly-available service that leverages more than one thousand features to evaluate the extent to which a Twitter account exhibits similarity to the known characteristics of social bots. Since its release in May 2014, BotOrNot has served over one million requests via our website and APIs.
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How it got here
| How it got here | agent via bibtex |
|---|---|
| Added | 2026-08-05 00:00 UTC |
| Approved by | a person 2026-08-16 15:29 UTC |
Filed under
Cite it as
@inproceedings{davis2016botornot,
title = {Botornot: A system to evaluate social bots},
author = {Clayton Allen Davis and Onur Varol and Emilio Ferrara and Alessandro Flammini and Filippo Menczer},
year = {2016},
booktitle = {25th International Conference Companion on World Wide Web},
publisher = {Association for Computing Machinery},
pages = {273--274},
doi = {10.1145/2872518.2889302},
}
This record lives at https://refs.drheap.org/davis2016botornot/ and will keep doing so.