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 351–400 of 507 papers

TitleStatusHype
Hate Speech Detection in Roman Urdu—0
Improving Counterfactual Generation for Fair Hate Speech Detection—0
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & InsightsCode0
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection—0
Annotating Online MisogynyCode0
Towards Argument Mining for Social Good: A Survey—0
Detecting Abusive Albanian—0
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach—0
Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study—0
Hate speech detection using static BERT embeddings—0
Hate Speech Detection in Clubhouse—0
Statistical Analysis of Perspective Scores on Hate Speech Detection—0
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
An Information Retrieval Approach to Building Datasets for Hate Speech DetectionCode0
Multitask Learning for Emotionally Analyzing Sexual Abuse DisclosuresCode0
Improving Automatic Hate Speech Detection with Multiword Expression Features—0
Understanding and Interpreting the Impact of User Context in Hate Speech Detection—0
Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate—0
Online Hate: Behavioural Dynamics and Relationship with Misinformation—0
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection—0
A systematic review of Hate Speech automatic detection using Natural Language Processing—0
A Legal Approach to Hate Speech – Operationalizing the EU’s Legal Framework against the Expression of Hatred as an NLP Task—0
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media—0
Towards A Multi-agent System for Online Hate Speech Detection—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Contextual-Lexicon Approach for Abusive Language Detection—0
Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection—0
Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection—0
HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection—0
Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech DetectionCode0
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection—0
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations—0
Interpretable Multi-Modal Hate Speech Detection—0
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection—0
Towards generalisable hate speech detection: a review on obstacles and solutions—0
Emoji-Based Transfer Learning for Sentiment TasksCode0
Leveraging cross-platform data to improve automated hate speech detection—0
A study of text representations in Hate Speech DetectionCode0
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech DetectionCode0
Hostility Detection in Hindi leveraging Pre-Trained Language ModelsCode0
Leveraging Multilingual Transformers for Hate Speech DetectionCode0
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali LanguageCode0
Hate Speech detection in the Bengali language: A dataset and its baseline evaluation—0
You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection—0
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa—0
Ssn\_nlp at SemEval 2020 Task 12: Offense Target Identification in Social Media Using Traditional and Deep Machine Learning Approaches—0
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory—0
HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection—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 [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