[HTML][HTML] Image cyberbullying detection and recognition using transfer deep machine learning

A Almomani, K Nahar, M Alauthman… - International Journal of …, 2024 - Elsevier
Cyberbullying detection on social media platforms is increasingly important, necessitating
robust computational methods. Current approaches, while promising, have not fully …

Cyberbullying detection solutions based on deep learning architectures

C Iwendi, G Srivastava, S Khan, PKR Maddikunta - Multimedia Systems, 2023 - Springer
Cyberbullying is disturbing and troubling online misconduct. It appears in various forms and
is usually in a textual format in most social networks. Intelligent systems are necessary for …

[HTML][HTML] A review on deep-learning-based cyberbullying detection

MT Hasan, MAE Hossain, MSH Mukta, A Akter… - Future Internet, 2023 - mdpi.com
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …

Linking textual and contextual features for intelligent cyberbullying detection in social media

N Rezvani, A Beheshti, A Tabebordbar - Proceedings of the 18th …, 2020 - dl.acm.org
The rapid and vast adoption of social media and the 21st century technologies is changing
the bullying process., ie, deliberate misuse of power in relationships through social behavior …

[PDF][PDF] Towards understanding and detecting cyberbullying in real-world images

N Vishwamitra, H Hu, F Luo, L Cheng - 2020 19th IEEE international …, 2021 - par.nsf.gov
Cyberbullying has become widely recognized as a critical social problem plaguing today's
Internet users. This problem involves perpetrators using Internet-based technologies to bully …

[HTML][HTML] Cyberbullying detection using deep transfer learning

PK Roy, FU Mali - Complex & Intelligent Systems, 2022 - Springer
Social networking platforms like Facebook, Twitter, and others have numerous advantages,
but they have many dark sides also. One of the issues on these social platforms is …

A deep analysis of textual features based cyberbullying detection using machine learning

MI Mahmud, M Mamun… - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Today's internet advancements boost our electronic connectivity to one another through the
use of social media platforms. Using social media has facilitated us in many ways, but it has …

Identification of cyberbullying on multi‐modal social media posts using genetic algorithm

K Kumari, JP Singh - Transactions on Emerging …, 2021 - Wiley Online Library
Cyberbullying is one of the detrimental effects, social media is facing nowadays. With the
increasing use of photo sharing and text comments, the severity of cyberbullying has …

Multimodal cyberbullying detection using capsule network with dynamic routing and deep convolutional neural network

A Kumar, N Sachdeva - Multimedia Systems, 2022 - Springer
Cyberbullying is the use of information technology networks by individuals' to humiliate,
tease, embarrass, taunt, defame and disparage a target without any face-to-face contact …

[HTML][HTML] Cyberbullying identification system based deep learning algorithms

THH Aldhyani, MH Al-Adhaileh, SN Alsubari - Electronics, 2022 - mdpi.com
Cyberbullying is characterized by deliberate and sustained peer aggression, as well as a
power differential between the victim and the perpetrators or abusers. Cyberbullying can …