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

Showing 101125 of 507 papers

TitleStatusHype
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-BackdoorsCode0
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction HelpsCode0
Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying0
A Comprehensive Study on NLP Data Augmentation for Hate Speech Detection: Legacy Methods, BERT, and LLMs0
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative DataCode0
Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech DatasetCode0
Towards Interpretable Hate Speech Detection using Large Language Model-extracted RationalesCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection0
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in KoreanCode1
Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection0
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models0
Z-AGI Labs at ClimateActivism 2024: Stance and Hate Event Detection on Social Media0
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?Code0
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media PlatformsCode0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection0
Whose Emotions and Moral Sentiments Do Language Models Reflect?0
Exploring the Adversarial Capabilities of Large Language Models0
Personalized Large Language ModelsCode2
Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMACode4
Probing Critical Learning Dynamics of PLMs for Hate Speech DetectionCode0
Identifying False Content and Hate Speech in Sinhala YouTube Videos by Analyzing the Audio0
Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning0
Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech DetectionCode0
Multilingual acoustic word embeddings for zero-resource languages0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiLSTM + static BEF1-score0.8Unverified
2BERTF1-score0.79Unverified
3BiLSTM+Attention+FTF1-score0.77Unverified
4OPT-175B (few-shot)F1-score0.76Unverified
5CNN+Attention+FT+GVF1-score0.74Unverified
6OPT-175B (one-shot)F1-score0.71Unverified
7OPT-175B (zero-shot)F1-score0.67Unverified
8SVMF1-score0.66Unverified
9Random ForestsF1-score0.64Unverified
10Davinci (zero-shot)F1-score0.63Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-MRPAUROC0.86Unverified
2BERT-RPAUROC0.85Unverified
3BERT-HateXplain [LIME]AUROC0.85Unverified
4BERT-HateXplain [Attn]AUROC0.85Unverified
5BERT [Attn]AUROC0.84Unverified
6BiRNN-HateXplain [Attn]AUROC0.81Unverified
7BiRNN-Attn [Attn]AUROC0.8Unverified
8CNN-GRU [LIME]AUROC0.79Unverified
9BiRNN [LIME]AUROC0.77Unverified
10XG-HSI-BERTAccuracy0.75Unverified
#ModelMetricClaimedVerifiedStatus
1MLARAMHamming Loss0.29Unverified
2MLkNNHamming Loss0.16Unverified
3Binary RelevanceHamming Loss0.14Unverified
4Neural Classifier ChainsHamming Loss0.13Unverified
5Neural Binary RelevanceHamming Loss0.11Unverified
#ModelMetricClaimedVerifiedStatus
1Mozafari et al., 2019AAA50.94Unverified
2SVMAAA46.51Unverified
3Kennedy et al., 2020AAA45.5Unverified
#ModelMetricClaimedVerifiedStatus
1HateBERTMacro F10.74Unverified
2BERTMacro F10.72Unverified
#ModelMetricClaimedVerifiedStatus
1mBertAccuracy0.83Unverified
2Logistic RegressionAccuracy0.7Unverified
#ModelMetricClaimedVerifiedStatus
1HXP + CLAP + CLIPTEST F1 (macro)0.85Unverified
2BERT + ViT + MFCCTEST F1 (macro)0.79Unverified
#ModelMetricClaimedVerifiedStatus
1HateBERTMacro F10.49Unverified
2BERTMacro F10.48Unverified
#ModelMetricClaimedVerifiedStatus
1HateBERTMacro F10.81Unverified
2BERTMacro F10.8Unverified
#ModelMetricClaimedVerifiedStatus
1Multilingual BERTF1-score0.75Unverified
2AutoMLF1-score0.74Unverified
#ModelMetricClaimedVerifiedStatus
1AOM mBERTF10.85Unverified
#ModelMetricClaimedVerifiedStatus
1BaselineF10.7Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-large-STMacro F180.7Unverified
#ModelMetricClaimedVerifiedStatus
1Baseline BERT (task A)F10.77Unverified