Parameters to Determine Cyberbullying in Social Networks in the Ecuador

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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

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
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

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© 2020 ACM.

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

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