Detecting bots in social-networks using node and structural embeddings

Detecting bots in social-networks using node and structural embeddings

Abstract Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot accounts to influence the network by mimicking real-user behaviour. Although not all...

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Bibliographic Details
Main Authors: Ashkan Dehghan, Kinga Siuta, Agata Skorupka, Akshat Dubey, Andrei Betlen, David Miller, Wei Xu, Bogumił Kamiński, Paweł Prałat
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Journal of Big Data
Subjects:
Detecting bots
Node and structural embeddings
Social networks
Online Access:https://doi.org/10.1186/s40537-023-00796-3

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