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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 507 papers

TitleStatusHype
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech DatasetsCode0
Bayesian Methods for Semi-supervised Text Annotation—0
CRAB: Class Representation Attentive BERT for Hate Speech Identification in Social Media—0
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning—0
HateBERT: Retraining BERT for Abusive Language Detection in EnglishCode0
Reducing Unintended Identity Bias in Russian Hate Speech Detection—0
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual AnalysisCode1
Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection—0
Empirical Study of Text Augmentation on Social Media Text in VietnameseCode0
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model—0
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social GoodCode0
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection—0
Automatic Detection of Sexist Statements Commonly Used at the WorkplaceCode0
TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter:—0
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)—0
ETHOS: an Online Hate Speech Detection DatasetCode1
Investigating Deep Learning Approaches for Hate Speech Detection in Social Media—0
BEEP! Korean Corpus of Online News Comments for Toxic Speech DetectionCode1
Demoting Racial Bias in Hate Speech Detection—0
Leveraging Affective Bidirectional Transformers for Offensive Language Detection—0
OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach—0
Towards Hate Speech Detection at Large via Deep Generative ModelingCode0
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection—0
Aggression and Misogyny Detection using BERT: A Multi-Task ApproachCode1
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data—0
OSACT4 Shared Tasks: Ensembled Stacked Classification for Offensive and Hate Speech in Arabic Tweets—0
Arabic Offensive Language Detection with Attention-based Deep Neural Networks—0
ALT Submission for OSACT Shared Task on Offensive Language Detection—0
Multitask Learning for Arabic Offensive Language and Hate-Speech Detection—0
Deep Learning Models for Multilingual Hate Speech DetectionCode1
Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL—0
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkCode1
A Legal Approach to Hate Speech -- Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task—0
4chan & 8chan embeddings—0
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech RecognitionCode1
Evaluating Semantic Feature Representations to Efficiently Detect Hate Intent on Social Media—0
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech DetectionCode0
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations—0
Towards countering hate speech against journalists on social media—0
Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN ModelCode0
Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM ModelCode0
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social MediaCode0
VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination—0
Exploring Hate Speech Detection in Multimodal PublicationsCode0
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas—0
Hate Speech in Pixels: Detection of Offensive Memes towards Automatic ModerationCode0
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Prediction Uncertainty Estimation for Hate Speech Classification—0
Offence in Dialogues: A Corpus-Based StudyCode0
Show:102550
← PrevPage 9 of 11Next →
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