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
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
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
The Role of Context in Detecting the Target of Hate Speech—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
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
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
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech DetectionCode0
Free speech or Free Hate Speech? Analyzing the Proliferation of Hate Speech in Parler—0
Resources for Multilingual Hate Speech Detection—0
An Interactive Exploratory Tool for the Task of Hate Speech Detection—0
HATE-ITA: New Baselines for Hate Speech Detection in ItalianCode0
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
Targeted Identity Group Prediction in Hate Speech CorporaCode0
Explainable and High-Performance Hate and Offensive Speech Detection—0
Improved two-stage hate speech classification for twitter based on Deep Neural Networks—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
GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection—0
Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT—0
Exploring Data Augmentation Strategies for Hate Speech Detection in Roman Urdu—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 Hate Speech Using Neural Networks and Discourse Analysis Techniques—0
Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism—0
Deep One-Class Hate Speech Detection Model—0
Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection—0
Beyond Explanation: A Case for Exploratory Text Visualizations of Non-Aggregated, Annotated Datasets—0
A Turkish Hate Speech Dataset and Detection System—0
Ara-Women-Hate: An Annotated Corpus Dedicated to Hate Speech Detection against Women in the Arabic Community—0
UMUTextStats: A linguistic feature extraction tool for Spanish—0
Afaan Oromo Hate Speech Detection and Classification on Social Media—0
Unsupervised Embeddings with Graph Auto-Encoders for Multi-domain and Multilingual Hate Speech Detection—0
UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble ModelsCode0
What If Ground Truth Is Subjective? Personalized Deep Neural Hate Speech DetectionCode0
GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection—0
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny IdentificationCode0
L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library—0
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and StereotypesCode0
BITE: Textual Backdoor Attacks with Iterative Trigger InjectionCode0
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection—0
Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification—0
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection—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