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Typification of Impersonated Accounts on Instagram

  • Institut Polytechnique de Paris

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Résumé

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.

langue originaleAnglais
titre2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019
EditeurInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)9781728110257
Les DOIs
étatPublié - 1 oct. 2019
Evénement38th IEEE International Performance Computing and Communications Conference, IPCCC 2019 - London, Royaume-Uni
Durée: 29 oct. 201931 oct. 2019

Série de publications

Nom2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019

Une conférence

Une conférence38th IEEE International Performance Computing and Communications Conference, IPCCC 2019
Pays/TerritoireRoyaume-Uni
La villeLondon
période29/10/1931/10/19

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