Parameters to Determine Cyberbullying in Social Networks in the Ecuador

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 2020 4th International Conference on Information System and Data Mining, ICISDM 2020
    PublisherAssociation for Computing Machinery
    Pages144-151
    Number of pages8
    ISBN (Electronic)9781450377652
    ISBN (Print)9781450377652
    DOIs
    StatePublished - 15 May 2020
    Event4th International Conference on Information System and Data Mining, ICISDM 2020 - Hilo, United States
    Duration: 15 May 202017 May 2020

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference4th International Conference on Information System and Data Mining, ICISDM 2020
    Country/TerritoryUnited States
    CityHilo
    Period15/05/2017/05/20

    Bibliographical note

    Publisher Copyright:
    © 2020 ACM.

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

    Keywords

    • Cyber bullying
    • cyber harassment
    • Information Security
    • Social Networks

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