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
A Federated Approach for Hate Speech DetectionCode1
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
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech DetectionCode1
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
Assessing the impact of contextual information in hate speech detection—0
Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise—0
The Role of Context in Detecting the Target of Hate Speech—0
Generalizable Implicit Hate Speech Detection Using Contrastive LearningCode1
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings—0
俄语网络仇恨言论语料库研究与构建(An Russian Internet Corpus for Hate Speech Detection)—0
An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification—0
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection—0
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text ClassificationCode1
BERT-based Ensemble Approaches for Hate Speech Detection—0
A Review of Challenges in Machine Learning based Automated Hate Speech Detection—0
Power of Explanations: Towards automatic debiasing in hate speech detectionCode0
Combating high variance in Data-Scarce Implicit Hate Speech Classification—0
K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News CommentCode1
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
Exploring Hate Speech Detection with HateXplain and BERTCode0
ferret: a Framework for Benchmarking Explainers on TransformersCode0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation—0
Accounting for Offensive Speech as a Practice of Resistance—0
HATE-ITA: New Baselines for Hate Speech Detection in ItalianCode0
Free speech or Free Hate Speech? Analyzing the Proliferation of Hate Speech in Parler—0
Resources for Multilingual Hate Speech Detection—0
Targeted Identity Group Prediction in Hate Speech CorporaCode0
A Comprehensive Dataset for German Offensive Language and Conversation AnalysisCode1
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech DetectionCode0
An Interactive Exploratory Tool for the Task of Hate Speech Detection—0
Explainable and High-Performance Hate and Offensive Speech Detection—0
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection ModelsCode1
Improved two-stage hate speech classification for twitter based on Deep Neural Networks—0
What If Ground Truth Is Subjective? Personalized Deep Neural Hate Speech DetectionCode0
Ara-Women-Hate: An Annotated Corpus Dedicated to Hate Speech Detection against Women in the Arabic Community—0
Beyond Explanation: A Case for Exploratory Text Visualizations of Non-Aggregated, Annotated Datasets—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