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

Showing 351–375 of 507 papers

TitleStatusHype
Hate Speech Detection via Dual Contrastive Learning—0
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments—0
Hierarchical CVAE for Fine-Grained Hate Speech Classification—0
HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla—0
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets—0
iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers—0
Identification of Multiword Expressions in Tweets for Hate Speech Detection—0
Identifying False Content and Hate Speech in Sinhala YouTube Videos by Analyzing the Audio—0
Identifying Hate Speech Using Neural Networks and Discourse Analysis Techniques—0
Identity Construction in a Misogynist Incels Forum—0
IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages—0
Easy Adaptation to Mitigate Gender Bias in Multilingual Text ClassificationCode0
Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on TwitterCode0
Calibrated Learning to Defer with One-vs-All ClassifiersCode0
EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian TwitterCode0
Emoji-Based Transfer Learning for Sentiment TasksCode0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal ClassificationCode0
Empirical Study of Text Augmentation on Social Media Text in VietnameseCode0
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech DetectionCode0
Detecting Online Hate Speech Using Context Aware ModelsCode0
TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of modelsCode0
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech DetectionCode0
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?Code0
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and StereotypesCode0
A Group-Specific Approach to NLP for Hate Speech DetectionCode0
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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