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Communication Dans Un Congrès Année : 2019

Typification of impersonated accounts on Instagram

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
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Dates et versions

hal-02363432 , version 1 (14-11-2019)

Identifiants

Citer

Koosha Zarei, Reza Farahbakhsh, Noel Crespi. Typification of impersonated accounts on Instagram. IPCCC 2019: 38th International Performance Computing and Communications Conference, Oct 2019, Londres, United Kingdom. pp.1-7, ⟨10.1109/IPCCC47392.2019.8958763⟩. ⟨hal-02363432⟩
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