Detecting bots in social-networks using node and structural embeddings

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 bot acco...

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Detalles Bibliográficos
Autores principales: Dehghan, Ashkan, Siuta, Kinga, Skorupka, Agata, Dubey, Akshat, Betlen, Andrei, Miller, David, Xu, Wei, Kamiński, Bogumił, Prałat, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356665/
https://www.ncbi.nlm.nih.gov/pubmed/37483882
http://dx.doi.org/10.1186/s40537-023-00796-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356665/
https://www.ncbi.nlm.nih.gov/pubmed/37483882
http://dx.doi.org/10.1186/s40537-023-00796-3

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