Content-Based Authorship Identification for Short Texts in Social Media Networks

• José Gaviria de la Puerta ^[1] ; Iker Pastor-López ^[1] ; Javier Salcedo Hernández ^[1] ; Alberto Tellaeche ^[1] ; Borja Sanz ^[1] ; Hugo Sanjurjo-González ^[1] ; Alfredo Cuzzocrea ^[2] ; Bringas, Pablo G. ^[1]
  1. [1] Universidad de Deusto

     Universidad de Deusto

     Bilbao, España

     
  2. [2] University of Calabria

     University of Calabria

     Cosenza, Italia

     
• Localización: Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings / coord. por Hugo Sanjurjo González, Iker Pastor López , Pablo García Bringas , Héctor Quintián Pardo , Emilio Santiago Corchado Rodríguez , 2021, ISBN 978-3-030-86271-8, págs. 27-37
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Today social networks contain a high number of false profiles that can carry out malicious actions on other users, such as radicalization or defamation. This makes it necessary to be able to identify the same false profile and its behaviour on different social networks in order to take action against it. To this end, this article presents a new approach based on behavior analysis for the identification of text authorship in social networks.