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 431440 of 507 papers

TitleStatusHype
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data0
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions0
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection0
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content0
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations0
A systematic review of Hate Speech automatic detection using Natural Language Processing0
Recognizing Explicit and Implicit Hate Speech Using a Weakly Supervised Two-path Bootstrapping Approach0
A Systematic Analysis on the Temporal Generalization of Language Models in Social Media0
Deep One-Class Hate Speech Detection Model0
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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