An experimental study on feature engineering and learning approaches for aggression detection in social media
With the widespread of modern technologies and social media networks, a new form of bullying occurring anytime and anywhere has emerged. This new phenomenon, known as cyberaggression or cyberbullying, refers to aggressive and intentional acts aiming at repeatedly causing harm to other person involvi...
Main Authors: | Antonela Tommasel, Dr, Juan Manuel Rodriguez, Dr., Daniela Godoy, Dr. |
---|---|
Format: | Article |
Language: | English |
Published: |
Asociación Española para la Inteligencia Artificial
2019-02-01
|
Series: | Inteligencia Artificial |
Subjects: | |
Online Access: | http://journal.iberamia.org/index.php/intartif/article/view/264 |
Similar Items
-
Observing flaming or trolling online: Prevalence in russian youth and adolescents and relationship to tolerance and aggression
by: G. Soldatova, et al.
Published: (2021-04-01) -
Emotional experience of various types of cyberaggression by adolescents and youth
by: G. Soldatova, et al.
Published: (2021-04-01) -
Aggression Detection in Social Media from Textual Data Using Deep Learning Models
by: Umair Khan, et al.
Published: (2022-05-01) -
The Effect of Just-World Beliefs on Cyberaggression: A Moderated Mediation Model
by: Qingsong Sang, et al.
Published: (2023-06-01) -
Personal and psychophysiological characteristics of the witness experience of cyberaggression in virtual reality
by: G. Soldatova, et al.
Published: (2022-06-01)