Towards A Multi-agent System for Online Hate Speech Detection

2021/05/03 by Gaurav Sahu, Sahu, Gaurav, Robin Cohen +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Multiagent Systems (cs.MA) #Spam and Phishing Detection #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2105.01129

openalex publication_date 2021/05/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper envisions a multi-agent system for detecting the presence of hate speech in online social media platforms such as Twitter and Facebook. We introduce a novel framework employing deep learning techniques to coordinate the channels of textual and im-age processing. Our experimental results aim to demonstrate the effectiveness of our methods for classifying online content, training the proposed neural network model to effectively detect hateful instances in the input. We conclude with a discussion of how our system may be of use to provide recommendations to users who are managing online social networks, showcasing the immense potential of intelligent multi-agent systems towards delivering social good.

Citations

• Very Deep Convolutional Networks for Large-Scale Image Recognition
• Long Short-Term Memory
• Conditional Generative Adversarial Nets
• Sequence to Sequence Learning with Neural Networks
• ImageNet classification with deep convolutional neural networks
• Multilingual Language Processing From Bytes
• Exploring the Limits of Language Modeling
• Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
• Implicit Maximum Likelihood Estimation
• Multimodal Speech Emotion Recognition and Ambiguity Resolution
• ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
• The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
• Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes
• Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Cited by

• Retweets, Receipts, and Resistance: Discourse, Sentiment, and Credibility in Public Health Crisis Twitter

Related

• Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models
• Investigating Deep Learning Approaches for Hate Speech Detection in Social Media
• Social Hatred: Efficient Multimodal Detection of Hatemongers
• DeepHate: Hate Speech Detection via Multi-Faceted Text Representations
• A systematic review of Hate Speech automatic detection using Natural Language Processing