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    Item type:Publication,
    Personalized Tool for the Detection and Prevention of Cyberbullying
    (2025)
    Yngrid J. Melo
    ;
    Fabricio J. LLumiquinga
    ;
    Raisa E. Bernal
    ;
    Segundo Toapanta
    ;
    Eriannys Z. Gómez
    The topic of cyberbullying in social networks such as Facebook, X, Instagram and others was analyzed, in addition to the ways and tools to detect it. The problem is that although there are many tools that have been developed to detect and prevent cyberbullying, many do not meet the requirements to adapt to different social groups subjected to any particular type of research. The goal is to develop a customized tool specifically designed to diagnose and prevent cyber- bullying, focusing on tailored functionalities and their effectiveness in various social contexts. The result was a prototype tool to detect cyberbullying. The application was developed for educational and research purposes within 3 institutions, using Python as programming language and integrating several libraries to facilitate web data extraction, data processing and user interface design. It was concluded that the developed tool provides a comprehensive solution for the automated collection and analysis of online comments, with a specific focus on detecting potential cyberbullying cases. This purpose aligns with the growing need to address the problem of harassment and harmful behavior in virtual environments, where early identification and appropriate intervention are critical to ensure the safety and well-being of users
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    Influence of Social Media and Artificial Intelligence on Cyberbullying for Decision-Making with Legal or Judicial Foundations in Ecuador
    (2025)
    Dr. Diego Gustavo Andrade Armas
    ;
    Segundo Moisés Toapanta Toapanta
    ;
    Eriannys Zharayth Gómez Díaz
    ;
    Jadán Guerrero, Janio  
    ;
    Rocío Maciel Arellano
    Cyberbullying remains a pervasive issue globally and in Ecuador, fueled by the rapid evolution of the Internet, emerging trends in information and communication technologies (ICT), artificial intelligence (AI), and social networks. One of the primary contributing factors is the influence of social networks and AI, coupled with the absence of robust legal and judicial frameworks. The objective of this study is to propose a conceptual model for cybersecurity management in social networks. A deductive approach and exploratory research methods were used to analyze information from various official sources. The results include a mental map that identifies key stakeholders, a simulation designed to mitigate cyberbullying on social networks, and a conceptual model to address cyberbullying management. The study concludes that mitigating cyberbullying requires the implementation of appropriate AI tools and the development or improvement of cyberbullying laws in each country. Simulations demonstrated that in one scenario, the occurrence of cyberbullying could be reduced to an average of 25%, highlighting both the challenges and the potential of leveraging AI and updated legislation to combat this issue effectively.
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