@inproceedings{4c41df0b2e0b4a16b2020f3236262db6,
title = "Typification of Impersonated Accounts on Instagram",
abstract = "Fake accounts and Impersonators on Online Social Networks such as Instagram are turning difficulties for society. This has attended to an increasing interest in detecting fake profiles and investigating their behaviours. Questions like who are impersonators? what are their characteristics? and are they bots? will arise. To answer, we begin this research by collecting data from three important communities on Instagram including 'Politician', 'News agency', and 'Sports star'. Inside each community, four verified top accounts are picked. Based on the users who reacted to their published posts, we detect 4K impersonators [1]. Then we employed well-known clustering methods to distribute impersonators into separated clusters to observe obscure behaviours and unusual profile characteristics. We also studied the cross-group analysis of clusters inside each community to explore engagements. Finally, we conclude the study by providing a complete investigation of the bot-like cluster.",
keywords = "Bot Detection, Fake Profile, Impersonation, Instagram, Social Media, Unsupervised Clustering",
author = "Koosha Zarei and Reza Farahbakhsh and Noel Crespi",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 38th IEEE International Performance Computing and Communications Conference, IPCCC 2019 ; Conference date: 29-10-2019 Through 31-10-2019",
year = "2019",
month = oct,
day = "1",
doi = "10.1109/IPCCC47392.2019.8958763",
language = "English",
series = "2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019",
}