An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks
The widespread use of the internet has led to the rapid expansion of social networks, making it easier for individuals to share content online. However, this has also increased the prevalence of cyber violence, necessitating the development of automated detection methods. Deep learning-based algorit...
Saved in:
| Main Authors: | Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/cplx/2750326 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Social Media User Responses to Verbal Violence in the Cyber World
by: Moulita, et al.
Published: (2024-03-01) -
FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method
by: Shirin Khezri, et al.
Published: (2025-07-01) -
A deep learning-based adaptive cyber disaster management framework
by: Nataliia Neshenko, et al.
Published: (2025-07-01) -
Cyber-physical-social system:a data-centric framework
by: Shuying ZHAI, et al.
Published: (2017-11-01) -
Gender-based cyber violence, gender and political literacy
by: Hrnčić Jasna H., et al.
Published: (2025-01-01)