SOTAVerified

Hate Speech Detection

Hate speech detection is the task of detecting if communication such as text, audio, and so on contains hatred and or encourages violence towards a person or a group of people. This is usually based on prejudice against 'protected characteristics' such as their ethnicity, gender, sexual orientation, religion, age et al. Some example benchmarks are ETHOS and HateXplain. Models can be evaluated with metrics like the F-score or F-measure.

Papers

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Showing 201–250 of 507 papers

TitleStatusHype
Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection TasksCode0
ARC-NLP at Multimodal Hate Speech Event Detection 2023: Multimodal Methods Boosted by Ensemble Learning, Syntactical and Entity Features—0
Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation—0
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech DetectionCode0
HateModerate: Testing Hate Speech Detectors against Content Moderation PoliciesCode0
Mitigating Label Bias via Decoupled Confident Learning—0
Hate Speech Detection via Dual Contrastive Learning—0
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation—0
Identity Construction in a Misogynist Incels Forum—0
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and BaselinesCode0
The Art of Embedding Fusion: Optimizing Hate Speech DetectionCode0
My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation BenchmarksCode0
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided FrameworkCode0
Multi-modal Hate Speech Detection using Machine Learning—0
Leveraging Language Identification to Enhance Code-Mixed Text Classification—0
Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled DataCode0
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili—0
Revisiting Hate Speech Benchmarks: From Data Curation to System DeploymentCode0
Explaining Hate Speech Classification with Model Agnostic Methods—0
Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models—0
Towards Legally Enforceable Hate Speech Detection for Public ForumsCode0
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection—0
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks—0
Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweets—0
A Group-Specific Approach to NLP for Hate Speech DetectionCode0
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks—0
LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification—0
Hate Speech Targets Detection in Parler using BERTCode0
The Other Side of Compression: Measuring Bias in Pruned TransformersCode0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal ClassificationCode0
Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand Safety—0
NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models—0
Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languagesCode0
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection—0
Hate Speech and Offensive Language Detection using an Emotion-aware Shared Encoder—0
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content—0
Leveraging World Knowledge in Implicit Hate Speech Detection—0
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection—0
Multimodal and Explainable Internet Meme Classification—0
A Graph-Based Context-Aware Model to Understand Online Conversations—0
Hope Speech Detection on Social Media PlatformsCode0
How Much Hate with #china? A Preliminary Analysis on China-related Hateful Tweets Two Years After the Covid Pandemic BeganCode0
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection ModelsCode0
A Benchmark Study of Contrastive Learning for Arabic Social MeaningCode0
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced LanguagesCode0
Transferring Knowledge via Neighborhood-Aware Optimal Transport for Low-Resource Hate Speech Detection—0
T5 for Hate Speech, Augmented Data and EnsembleCode0
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech DetectionCode0
Hate Speech and Offensive Language Detection in BengaliCode0
Hypothesis Engineering for Zero-Shot Hate Speech DetectionCode0
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All datasetsEthos BinaryHateXplainEthos MultiLabelWaseem et al., 2018AbusEvalAutomatic Misogynistic IdentificationHateMMHatEvalOffensEval 2019ToLD-Brbajer_danish_misogynyDKhate

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiLSTM + static BEF1-score0.8—Unverified
2BERTF1-score0.79—Unverified
3BiLSTM+Attention+FTF1-score0.77—Unverified
4OPT-175B (few-shot)F1-score0.76—Unverified
5CNN+Attention+FT+GVF1-score0.74—Unverified
6OPT-175B (one-shot)F1-score0.71—Unverified
7OPT-175B (zero-shot)F1-score0.67—Unverified
8SVMF1-score0.66—Unverified
9Random ForestsF1-score0.64—Unverified
10Davinci (zero-shot)F1-score0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-MRPAUROC0.86—Unverified
2BERT-RPAUROC0.85—Unverified
3BERT-HateXplain [LIME]AUROC0.85—Unverified
4BERT-HateXplain [Attn]AUROC0.85—Unverified
5BERT [Attn]AUROC0.84—Unverified
6BiRNN-HateXplain [Attn]AUROC0.81—Unverified
7BiRNN-Attn [Attn]AUROC0.8—Unverified
8CNN-GRU [LIME]AUROC0.79—Unverified
9BiRNN [LIME]AUROC0.77—Unverified
10XG-HSI-BERTAccuracy0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1MLARAMHamming Loss0.29—Unverified
2MLkNNHamming Loss0.16—Unverified
3Binary RelevanceHamming Loss0.14—Unverified
4Neural Classifier ChainsHamming Loss0.13—Unverified
5Neural Binary RelevanceHamming Loss0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1Mozafari et al., 2019AAA50.94—Unverified
2SVMAAA46.51—Unverified
3Kennedy et al., 2020AAA45.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HateBERTMacro F10.74—Unverified
2BERTMacro F10.72—Unverified
#ModelMetricClaimedVerifiedStatus
1mBertAccuracy0.83—Unverified
2Logistic RegressionAccuracy0.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HXP + CLAP + CLIPTEST F1 (macro)0.85—Unverified
2BERT + ViT + MFCCTEST F1 (macro)0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1HateBERTMacro F10.49—Unverified
2BERTMacro F10.48—Unverified
#ModelMetricClaimedVerifiedStatus
1HateBERTMacro F10.81—Unverified
2BERTMacro F10.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Multilingual BERTF1-score0.75—Unverified
2AutoMLF1-score0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1AOM mBERTF10.85—Unverified
#ModelMetricClaimedVerifiedStatus
1BaselineF10.7—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-large-STMacro F180.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Baseline BERT (task A)F10.77—Unverified