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  1. Home
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  3. Hate Speech Detection using Large Language Models with Data
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Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement

Fresh1d ago
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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 23

Proof: no_code

Distribution: unknown

Source paper: Hate Speech Detection using Large Language Models with Data Augmentation and Feature Enhancement

PDF: https://arxiv.org/pdf/2603.04698v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-19T18:48:05.835633+00:00

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Dimensions overall score 7.0

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Builds On This
Enhancing Hate Speech Detection on Social Media: A Comparative Analysis of Machine Learning Models and Text Transformation Approaches
Score 3.0down
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Detecting the Machine: A Comprehensive Benchmark of AI-Generated Text Detectors Across Architectures, Domains, and Adversarial Conditions
Score 5.0down
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Improving Implicit Hate Speech Detection via a Community-Driven Multi-Agent Framework
Score 6.0down
Builds On This
Clash of the models: Comparing performance of BERT-based variants for generic news frame detection
Score 5.0down
Builds On This
When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
Score 6.0down
Prior Work
xList-Hate: A Checklist-Based Framework for Interpretable and Generalizable Hate Speech Detection
Score 7.0stable
Prior Work
When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
Score 7.0stable
Prior Work
How Much Noise Can BERT Handle? Insights from Multilingual Sentence Difficulty Detection
Score 7.0stable

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Related Resources

  • How does AI content moderation handle nuanced hate speech detection?(question)

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