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 201225 of 507 papers

TitleStatusHype
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla0
GASCOM: Graph-based Attentive Semantic Context Modeling for Online Conversation Understanding0
Detecting Offensive Tweets in Hindi-English Code-Switched Language0
ARGUABLY at ComMA@ICON: Detection of Multilingual Aggressive, Gender Biased, and Communally Charged Tweets Using Ensemble and Fine-Tuned IndicBERT0
Hate Speech Detection and Classification in Amharic Text with Deep Learning0
Generative AI for Hate Speech Detection: Evaluation and Findings0
GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection0
Contextualizing Internet Memes Across Social Media Platforms0
GPT-4V(ision) as A Social Media Analysis Engine0
Contextual-Lexicon Approach for Abusive Language Detection0
GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection0
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model0
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection0
Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages0
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques0
CRAB: Class Representation Attentive BERT for Hate Speech Identification in Social Media0
Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach0
Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models0
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data0
A Study on Bias Detection and Classification in Natural Language Processing0
HateDebias: On the Diversity and Variability of Hate Speech Debiasing0
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models0
Detecting Abusive Albanian0
HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures0
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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 [Attn]AUROC0.85Unverified
4BERT-HateXplain [LIME]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