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 201–250 of 507 papers

TitleStatusHype
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection—0
AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection—0
An Effective, Robust and Fairness-aware Hate Speech Detection Framework—0
Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models—0
Hate speech detection in algerian dialect using deep learning—0
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory—0
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection—0
Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise—0
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?—0
A systematic review of Hate Speech automatic detection using Natural Language Processing—0
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement—0
Hate Speech and Offensive Language Detection using an Emotion-aware Shared Encoder—0
A Systematic Analysis on the Temporal Generalization of Language Models in Social Media—0
Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning—0
Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
A Survey on Hate Speech Detection using Natural Language Processing—0
Cross-lingual Hate Speech Detection using Transformer Models—0
HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
A Survey on Automatic Online Hate Speech Detection in Low-Resource Languages—0
A multilingual dataset for offensive language and hate speech detection for hausa, yoruba and igbo languages—0
Afaan Oromo Hate Speech Detection and Classification on Social Media—0
HATEMINER at SemEval-2019 Task 5: Hate speech detection against Immigrants and Women in Twitter using a Multinomial Naive Bayes Classifier—0
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models—0
HateDebias: On the Diversity and Variability of Hate Speech Debiasing—0
Hate Speech and Offensive Content Detection in Indo-Aryan Languages: A Battle of LSTM and Transformers—0
Cross-lingual Capsule Network for Hate Speech Detection in Social Media—0
Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification—0
HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection—0
Hate Speech Detection and Classification in Amharic Text with Deep Learning—0
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model—0
CRAB: Class Representation Attentive BERT for Hate Speech Identification in Social Media—0
A Study on Bias Detection and Classification in Natural Language Processing—0
Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages—0
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection—0
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection—0
Hate Speech Detection in Clubhouse—0
Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation—0
Hate Speech Detection in Roman Urdu—0
GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection—0
Hate Speech detection in the Bengali language: A dataset and its baseline evaluation—0
Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding—0
GPT-4V(ision) as A Social Media Analysis Engine—0
Contextual-Lexicon Approach for Abusive Language Detection—0
Hate speech detection using static BERT embeddings—0
GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection—0
Contextualizing Internet Memes Across Social Media Platforms—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