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 401–450 of 507 papers

TitleStatusHype
TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter:—0
CIC at SemEval-2019 Task 5: Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter—0
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words—0
A Turkish Hate Speech Dataset and Detection System—0
AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection—0
Code-Mixed Telugu-English Hate Speech Detection—0
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
Combating high variance in Data-Scarce Implicit Hate Speech Classification—0
Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties—0
Prediction Uncertainty Estimation for Hate Speech Classification—0
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection—0
Predictive Embeddings for Hate Speech Detection on Twitter—0
Contextual Hate Speech Detection in Code Mixed Text using Transformer Based Approaches—0
Contextualizing Internet Memes Across Social Media Platforms—0
Contextual-Lexicon Approach for Abusive Language Detection—0
Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding—0
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection—0
CRAB: Class Representation Attentive BERT for Hate Speech Identification in Social Media—0
Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification—0
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection—0
Cross-lingual Capsule Network for Hate Speech Detection in Social Media—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Cross-lingual Hate Speech Detection using Transformer Models—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL—0
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions—0
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement—0
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?—0
Probing LLMs for hate speech detection: strengths and vulnerabilities—0
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory—0
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions—0
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection—0
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content—0
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations—0
A systematic review of Hate Speech automatic detection using Natural Language Processing—0
Recognizing Explicit and Implicit Hate Speech Using a Weakly Supervised Two-path Bootstrapping Approach—0
A Systematic Analysis on the Temporal Generalization of Language Models in Social Media—0
Deep One-Class Hate Speech Detection Model—0
Reducing Unintended Identity Bias in Russian Hate Speech Detection—0
Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets—0
Demoting Racial Bias in Hate Speech Detection—0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—0
Detecting Abusive Albanian—0
Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models—0
Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach—0
A Survey on Hate Speech Detection using Natural Language Processing—0
A Survey on Automatic Online Hate Speech Detection in Low-Resource Languages—0
Detecting Offensive Tweets in Hindi-English Code-Switched Language—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