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Towards Safer Social Media: A Survey on Artificial Intelligence for Multimodal Cyber Bullying Detection

by Premalatha G., G. Santhi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 141
Year of Publication: 2026
Authors: Premalatha G., G. Santhi
10.5120/ijca776327e249ce

Premalatha G., G. Santhi . Towards Safer Social Media: A Survey on Artificial Intelligence for Multimodal Cyber Bullying Detection. International Journal of Computer Applications. 187, 141 ( Sep 2026), 39-49. DOI=10.5120/ijca776327e249ce

@article{ 10.5120/ijca776327e249ce,
author = { Premalatha G., G. Santhi },
title = { Towards Safer Social Media: A Survey on Artificial Intelligence for Multimodal Cyber Bullying Detection },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2026 },
volume = { 187 },
number = { 141 },
month = { Sep },
year = { 2026 },
issn = { 0975-8887 },
pages = { 39-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number141/towards-safer-social-media-a-survey-on-artificial-intelligence-for-multimodal-cyber-bullying-detection/ },
doi = { 10.5120/ijca776327e249ce },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-09-19T02:57:21.999812+05:30
%A Premalatha G.
%A G. Santhi
%T Towards Safer Social Media: A Survey on Artificial Intelligence for Multimodal Cyber Bullying Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 141
%P 39-49
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The growth of social media has led to an increase in the scale of cyber harassment, from texts to images, videos, memes, deepfakes, and identity-based assaults. Traditional machine learning approaches are limited to identify such multimodal and context-dependent misuse. This study gives a complete assessment of AI based cyber harassment detection including datasets, preprocessing, deep learning, transformer models, multimodal fusion, big language models, explainable AI, federated learning, and privacy-preserving frameworks. Transformer based and multi-modal techniques offer better contextual and semantic comprehension compared to conventional approaches. The poll also highlights important research problems, such as multilingual detection, bias reduction, explainability, real-time scalability, and the identification of developing AI-generated offensive material.

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Index Terms

Computer Science
Information Sciences

Keywords

Detection of Cyberbullying Social Media Harassment Multimodal Deep Learning Large Language Models (LLMs) Artificial Intelligence

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