A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information

Prashant Kapil, Asif Ekbal
11/11/2024
cs.CL

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

Hate speech, offensive language, aggression, racism, sexism, and other abusive language are common phenomena in social media. There is a need for Artificial Intelligence(AI)based intervention which can filter hate content at scale. Most existing hate speech detection solutions have utilized the features by treating each post as an isolated input instance for the classification. This paper addresses this issue by introducing a unique model that improves hate speech identification for the English language by utilising intra-user and inter-user-based information. The experiment is conducted over single-task learning (STL) and multi-task learning (MTL) paradigms that use deep neural networks, such as convolutional neural networks (CNN), gated recurrent unit (GRU), bidirectional encoder representations from the transformer (BERT), and A Lite BERT (ALBERT). We use three benchmark datasets and conclude that combining certain user features with textual features gives significant improvements in macro-F1 and weighted-F1.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Hierarchical Sentiment Analysis Framework for Hate Speech Detection: Implementing Binary and Multiclass Classification Strategy

92% match2024

Efficient Hate Speech Detection: Evaluating 38 Models from Traditional Methods to Transformers

91% match2025

Enhancing Hate Speech Detection on Social Media: A Comparative Analysis of Machine Learning Models and Text Transformation Approaches

90% match2026

Hate Speech and Offensive Language Detection using an Emotion-aware Shared Encoder

90% match2023

A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English

90% match2025

Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning

89% match2024

Cite this paper

@article{kapil2024unified,
  title  = {A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information},
  author = {Prashant Kapil and Asif Ekbal},
  year   = {2024},
  eprint = {2411.06855},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.06855v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2411.06855.svg)](https://codeofpaper.com/paper/2411.06855)

Discussion