Ponencia
Detection and Analysis of Hate-Driven Violence on Social Networks
Autor/es | Abuhamda, Yousef
García Teodoro, Pedro |
Coordinador/Director | Varela Vaca, Ángel Jesús
Ceballos Guerrero, Rafael Reina Quintero, Antonia María |
Fecha de publicación | 2024 |
Fecha de depósito | 2024-06-04 |
Publicado en |
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ISBN/ISSN | 978-84-09-62140-8 |
Resumen | In contemporary society, the widespread use of social networks such as Instagram, Facebook, TikTok and others facilitates quick access to information and services. Along with its benefits, social media carries negative ... In contemporary society, the widespread use of social networks such as Instagram, Facebook, TikTok and others facilitates quick access to information and services. Along with its benefits, social media carries negative effects, especially with regards to hate-driven violence. This phenomenon includes behaviors such as flaming, trolling, humiliating, masking, excluding, walking out, cyberbullying, bullying, and sexting, which pose significant concerns and have deep and lasting consequences, especially for vulnerable individuals such as children and adolescents. This paper deals with the detection of hate violence incidents by using some ML techniques. Moreover, a graphical analysis with Gephi is carried out for the datasets considered, concluding the necessity of getting better datasets for experimentation. |
Cita | Abuhamda, Y. y García Teodoro, P. (2024). Detection and Analysis of Hate-Driven Violence on Social Networks. En Jornadas Nacionales de Investigación en Ciberseguridad (JNIC) (9ª.2024. Sevilla) (125-131), Sevilla: Universidad de Sevilla. Escuela Técnica Superior de Ingeniería Informática. |
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JNIC24_143.pdf | 620.6Kb | [PDF] | Ver/ | |