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Analysis of the legal basis to mitigate cyberbullying in social networks in Ecuador

  • Segundo Moisés Toapanta Toapanta
  • , Ingrid Lilibeth Tacuri López
  • , Luis Enrique Mafla Gallegos

    Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

    Resumen

    Cyberbullying is a critical issue in society worldwide, however in Ecuador is not given necessary importance to mitigate this cybercrime. It has been proposed to develop an exhaustive analysis of the laws that are currently considered to sanction cyberbullying when denouncing this fact. The deductive method and exploratory research were employed to make the analysis of the information consulted from the various sources that are obtained on the network about the topic discussed. The investigation revealed how cyberbullying cases arise, from which it is obtained that only 0.07% have been reported, with this result it can be deduced that the number of reported cases is very low in relation to the total number of cellphones activated in Ecuador and people who may be victims of this cyber-crime. In addition, a 'Criminal Process Diagram' was obtained that determines the sequence of how the judicial process work. The applied method resulted the following: Can be created a law project that battles each type of derived cyberbullying. It was concluded that several institutions in Ecuador work together with organizations to prevent cyberbullying, however, when this happens, the laws are not enough to punish the act.

    Idioma originalInglés
    Título de la publicación alojadaFrontiers in Artificial Intelligence and Applications
    EditoresAntonio J. Tallon-Ballesteros
    EditorialIOS Press BV
    Páginas223-233
    Número de páginas11
    ISBN (versión digital)9781643681344
    DOI
    EstadoPublicada - 2020
    Evento6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020 - Virtual, Online, China
    Duración: 13 nov. 202016 nov. 2020

    Serie de la publicación

    NombreFrontiers in Artificial Intelligence and Applications
    Volumen331
    ISSN (versión impresa)0922-6389
    ISSN (versión digital)1879-8314

    Conferencia

    Conferencia6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020
    País/TerritorioChina
    CiudadVirtual, Online
    Período13/11/2016/11/20

    Nota bibliográfica

    Publisher Copyright:
    © 2020 The authors and IOS Press.

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. ODS 16: Paz, justicia e instituciones sólidas
      ODS 16: Paz, justicia e instituciones sólidas

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