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 301–350 of 507 papers

TitleStatusHype
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech DetectionCode0
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models—0
Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny DetectionCode0
HateCheckHIn: Evaluating Hindi Hate Speech Detection ModelsCode0
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate OnlineCode0
Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi—0
Multimodal Hate Speech Detection from Bengali Memes and TextsCode0
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection—0
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference—0
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech DetectionCode0
Easy Adaptation to Mitigate Gender Bias in Multilingual Text ClassificationCode0
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detectionCode0
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype DetectionCode0
L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models—0
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech DetectionCode0
Emotion Based Hate Speech Detection using Multimodal Learning—0
Calibrated Learning to Defer with One-vs-All ClassifiersCode0
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media—0
Highly Generalizable Models for Multilingual Hate Speech DetectionCode0
Going Extreme: Comparative Analysis of Hate Speech in Parler and GabCode0
Selecting and combining complementary feature representations and classifiers for hate speech detectionCode0
When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks—0
Semi-supervised Stance Detection of Tweets Via Distant Network SupervisionCode0
Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets—0
AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection—0
Unraveling Social Perceptions & Behaviors towards Migrants on Twitter—0
"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic—0
HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla—0
ARGUABLY at ComMA@ICON: Detection of Multilingual Aggressive, Gender Biased, and Communally Charged Tweets Using Ensemble and Fine-Tuned IndicBERT—0
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings—0
Character-level HyperNetworks for Hate Speech DetectionCode0
American Hate Crime Trends Prediction with Event Extraction—0
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model—0
Cross-lingual Hate Speech Detection using Transformer Models—0
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions—0
Battling Hateful Content in Indic Languages HASOC '21Code0
Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and MarathiCode0
Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language—0
Contextual Hate Speech Detection in Code Mixed Text using Transformer Based Approaches—0
Large-Scale Hate Speech Detection with Cross-Domain Transfer—0
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias—0
One to rule them all: Towards Joint Indic Language Hate Speech Detection—0
Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community—0
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech—0
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving FactorsCode0
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages—0
Cross-lingual Capsule Network for Hate Speech Detection in Social Media—0
Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning—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 [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