Intelligent Identification of Fake Accounts on Social Media

The paper presents an original research of fake accounts on social media using an artificial neural network for their identification. Specifically designed and implemented application was used to identify specific features of fake accounts and study the principles and reasons of their generation. Co...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Anastasia Stolbova, Rustam Ganeev, Anton Ivaschenko
Formato: article
Lenguaje:EN
Publicado: FRUCT 2021
Materias:
Acceso en línea:https://doaj.org/article/559c7aecd3d84e9fa264b2e585a82740
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:The paper presents an original research of fake accounts on social media using an artificial neural network for their identification. Specifically designed and implemented application was used to identify specific features of fake accounts and study the principles and reasons of their generation. Considering the possible use cases and scenarios of its practical use including everyday social media surfing there was examined a possibility to implement a mobile application based on Java in the Android Studio programming environment. Based on the study of 500 real and 500 fake VKontakte accounts there was determined a number of conclusions on the original features of fake accounts. The provided research allowed extending the list of criteria for identifying fake accounts by an original set of patterns. The developed conclusions allow formulating the statements on what criteria can be used for further identification of fake accounts in practical applications.