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 401–450 of 507 papers

TitleStatusHype
ferret: a Framework for Benchmarking Explainers on TransformersCode0
Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech DetectionCode0
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali LanguageCode0
Leveraging Multilingual Transformers for Hate Speech DetectionCode0
Subjective Logic EncodingsCode0
Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and MarathiCode0
Annotating Online MisogynyCode0
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate DetectionCode0
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
Lexical Squad@Multimodal Hate Speech Event Detection 2023: Multimodal Hate Speech Detection using Fused Ensemble ApproachCode0
Surfacing contextual hate speech words within social mediaCode0
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny IdentificationCode0
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype DetectionCode0
Gender Bias Mitigation for Bangla Classification TasksCode0
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced LanguagesCode0
Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee CrisisCode0
Towards Hate Speech Detection at Large via Deep Generative ModelingCode0
Going Extreme: Comparative Analysis of Hate Speech in Parler and GabCode0
MetaHate: A Dataset for Unifying Efforts on Hate Speech DetectionCode0
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?Code0
T5 for Hate Speech, Augmented Data and EnsembleCode0
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech DetectionCode0
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving FactorsCode0
Revisiting Hate Speech Benchmarks: From Data Curation to System DeploymentCode0
UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble ModelsCode0
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech DetectionCode0
Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video DetectionCode0
HateBERT: Retraining BERT for Abusive Language Detection in EnglishCode0
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to AnalysisCode0
HateCheckHIn: Evaluating Hindi Hate Speech Detection ModelsCode0
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media PlatformsCode0
Targeted Identity Group Prediction in Hate Speech CorporaCode0
Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on TwitterCode0
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech DetectionCode0
HATE-ITA: New Baselines for Hate Speech Detection in ItalianCode0
HateModerate: Testing Hate Speech Detectors against Content Moderation PoliciesCode0
Hateminers : Detecting Hate speech against WomenCode0
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech DetectionCode0
Automatic Detection of Sexist Statements Commonly Used at the WorkplaceCode0
Hate Speech and Offensive Language Detection in BengaliCode0
Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language ModelCode0
Hate Speech Dataset from a White Supremacy ForumCode0
Automated Hate Speech Detection and the Problem of Offensive LanguageCode0
Multi-label Hate Speech and Abusive Language Detection in Indonesian TwitterCode0
LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMsCode0
Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on TwitterCode0
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech DatasetsCode0
Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning ModelsCode0
SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in MemesCode0
Multilingual and Multi-Aspect Hate Speech AnalysisCode0
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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 [Attn]AUROC0.85—Unverified
4BERT-HateXplain [LIME]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