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 251–300 of 507 papers

TitleStatusHype
Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains—0
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection—0
Systematic Offensive Stereotyping (SOS) Bias in Language Models—0
An Interactive Exploratory Tool for the Task of Hate Speech Detection—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
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups—0
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection—0
Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection)—0
You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection—0
4chan & 8chan embeddings—0
Who Speaks Matters: Analysing the Influence of the Speaker's Ethnicity on Hate Classification—0
HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla—0
VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination—0
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets—0
Accounting for Offensive Speech as a Practice of Resistance—0
The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets—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
The Effects of User Features on Twitter Hate Speech Detection—0
The Impact of Persona-based Political Perspectives on Hateful Content Detection—0
Improved two-stage hate speech classification for twitter based on Deep Neural Networks—0
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa—0
An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification—0
Improving Automatic Hate Speech Detection with Multiword Expression Features—0
Improving Counterfactual Generation for Fair Hate Speech Detection—0
Z-AGI Labs at ClimateActivism 2024: Stance and Hate Event Detection on Social Media—0
Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate—0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation—0
Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model—0
The Risk of Racial Bias in Hate Speech Detection—0
The Role of Context in Detecting the Target of Hate Speech—0
Incorporating Human Explanations for Robust Hate Speech Detection—0
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets—0
Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study—0
INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter—0
Interpretable Multi-Modal Hate Speech Detection—0
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks—0
Interpreting Neural Network Hate Speech Classifiers—0
Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection—0
Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community—0
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas—0
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection—0
Investigating Deep Learning Approaches for Hate Speech Detection in Social Media—0
"Is Hate Lost in Translation?": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection—0
An Effective, Robust and Fairness-aware Hate Speech Detection Framework—0
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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