Parameters to Determine Cyberbullying in Social Networks in the Ecuador

Segundo Moisés T. Toapanta, Kevin Enrique Yagual, Luis Enrique Mafla Gallegos

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

    2 Citas (Scopus)

    Resumen

    It was analyzed to different proposals about cyberbullying to identify online parameters through approaches, models, architecture, algorithm and assessments. The problem is the lack of a security algorithm when sharing information to a social network in Ecuador. The objective is to propose a parameter model to determine cyberbullying on Social Networks in Ecuador. It was used exploration and deductive method for the analysis of information from referenced articles. It resulted in a conceptual model of cyberbullying mitigation, four-layer architecture, indicator detection algorithm expressed in flowchart, and formula for measuring architecture. It was concluded that the algorithm determines indicators to identify harassment on social media, decreases impact at the national level and improves user management when browsing online, according to the simulations the architecture has 93.17% efficiency.

    Idioma originalInglés
    Título de la publicación alojadaProceedings of the 2020 4th International Conference on Information System and Data Mining, ICISDM 2020
    EditorialAssociation for Computing Machinery
    Páginas144-151
    Número de páginas8
    ISBN (versión digital)9781450377652
    ISBN (versión impresa)9781450377652
    DOI
    EstadoPublicada - 15 may. 2020
    Evento4th International Conference on Information System and Data Mining, ICISDM 2020 - Hilo, Estados Unidos
    Duración: 15 may. 202017 may. 2020

    Serie de la publicación

    NombreACM International Conference Proceeding Series

    Conferencia

    Conferencia4th International Conference on Information System and Data Mining, ICISDM 2020
    País/TerritorioEstados Unidos
    CiudadHilo
    Período15/05/2017/05/20

    Nota bibliográfica

    Publisher Copyright:
    © 2020 ACM.

    Copyright:
    Copyright 2020 Elsevier B.V., All rights reserved.

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