Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence
Cyberbullying, which manifests in various forms, is a growing challenge on social media, mainly when it involves threats of violence through images, especially those featuring weapons. This study introduces a computational framework to identify such content using convolutional neural networks of wea...
Saved in:
| Main Authors: | Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, Ma. Teresa Orozco-Aguilera, Leticia Flores-Pulido |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/2/80 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Network Architecture Search Remote Sensing Image Classification Method
by: JING Weipeng, et al.
Published: (2021-02-01) -
Traditional bullying and cyberbullying: Bystander strategies
by: V. L. Nazarov, et al.
Published: (2023-11-01) -
Neurobiology of emotional regulation in cyberbullying victims
by: Sibin Mathew Nesin, et al.
Published: (2025-03-01) -
Bullying and cyberbullying in a modern school
by: V. L. Nazarov, et al.
Published: (2022-02-01) -
Classification of Exoplanetary Light Curves Using Artificial Intelligence
by: Leticia Flores-Pulido, et al.
Published: (2025-05-01)