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
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla—0
GASCOM: Graph-based Attentive Semantic Context Modeling for Online Conversation Understanding—0
Detecting Offensive Tweets in Hindi-English Code-Switched Language—0
ARGUABLY at ComMA@ICON: Detection of Multilingual Aggressive, Gender Biased, and Communally Charged Tweets Using Ensemble and Fine-Tuned IndicBERT—0
HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla—0
Generative AI for Hate Speech Detection: Evaluation and Findings—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
GPT-4V(ision) as A Social Media Analysis Engine—0
Contextual-Lexicon Approach for Abusive Language Detection—0
GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection—0
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets—0
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection—0
Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages—0
HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection—0
CRAB: Class Representation Attentive BERT for Hate Speech Identification in Social Media—0
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques—0
Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification—0
Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach—0
A Study on Bias Detection and Classification in Natural Language Processing—0
HateDebias: On the Diversity and Variability of Hate Speech Debiasing—0
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models—0
Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models—0
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data—0
Cross-lingual Hate Speech Detection using Transformer Models—0
HATEMINER at SemEval-2019 Task 5: Hate speech detection against Immigrants and Women in Twitter using a Multinomial Naive Bayes Classifier—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers—0
Hate Speech and Offensive Content Detection in Indo-Aryan Languages: A Battle of LSTM and Transformers—0
Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL—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
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
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?—0
Afaan Oromo Hate Speech Detection and Classification on Social Media—0
Detecting Abusive Albanian—0
A systematic review of Hate Speech automatic detection using Natural Language Processing—0
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures—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
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities—0
Hate Speech detection in the Bengali language: A dataset and its baseline evaluation—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
Demoting Racial Bias in Hate Speech Detection—0
Hate speech detection using static BERT embeddings—0
Hate Speech Detection via Dual Contrastive Learning—0
AngryBERT: Joint Learning Target and Emotion 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 [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