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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–275 of 507 papers

Title	Date	Tasks	Status	Hype
UMUTextStats: A linguistic feature extraction tool for Spanish	Jun 1, 2022	Author ProfilingAuthorship Verification	—Unverified	0
GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection	Jun 1, 2022	ArticlesHate Speech Detection	—Unverified	0
GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection	Jun 1, 2022	Hate Speech DetectionText Detection	—Unverified	0
Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection	Jun 1, 2022	Hate Speech Detection	—Unverified	0
Deep One-Class Hate Speech Detection Model	Jun 1, 2022	BenchmarkingBinary Classification	—Unverified	0
iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers	Jun 1, 2022	Hate Speech Detection	—Unverified	0
Identifying Hate Speech Using Neural Networks and Discourse Analysis Techniques	Jun 1, 2022	Hate Speech Detection	—Unverified	0
Afaan Oromo Hate Speech Detection and Classification on Social Media	Jun 1, 2022	ClassificationHate Speech Detection	—Unverified	0
UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models	Jun 1, 2022	DecoderHate Speech Detection	CodeCode Available	0
Exploring Data Augmentation Strategies for Hate Speech Detection in Roman Urdu	Jun 1, 2022	Data AugmentationHate Speech Detection	—Unverified	0
Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT	Jun 1, 2022	Hate Speech Detection	—Unverified	0
Identification of Multiword Expressions in Tweets for Hate Speech Detection	Jun 1, 2022	Hate Speech Detection	—Unverified	0
Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism	Jun 1, 2022	Hate Speech DetectionKnowledge Distillation	—Unverified	0
Unsupervised Embeddings with Graph Auto-Encoders for Multi-domain and Multilingual Hate Speech Detection	Jun 1, 2022	Hate Speech Detection	—Unverified	0
A Turkish Hate Speech Dataset and Detection System	Jun 1, 2022	Binary ClassificationHate Speech Detection	—Unverified	0
Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection)	Jun 1, 2022	Cross-Lingual TransferHate Speech Detection	—Unverified	0
Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data	Jun 1, 2022	Hate Speech DetectionVietnamese Hate Speech Detection	CodeCode Available	1
L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library	May 29, 2022	Hate Speech DetectionLanguage Modeling	—Unverified	0
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification	May 29, 2022	Abusive LanguageHate Speech Detection	CodeCode Available	0
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes	May 27, 2022	Fairnessgraph construction	CodeCode Available	0
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection	May 25, 2022	Cultural Vocal Bursts Intensity PredictionFew-Shot Learning	—Unverified	0
BITE: Textual Backdoor Attacks with Iterative Trigger Injection	May 25, 2022	Backdoor AttackHate Speech Detection	CodeCode Available	0
Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification	May 16, 2022	Hate Speech Detection	—Unverified	0
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection	May 9, 2022	Hate Speech Detection	—Unverified	0
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection	May 6, 2022	Hate Speech Detection	CodeCode Available	0

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All datasets Ethos Binary HateXplain Ethos MultiLabel Waseem et al., 2018 AbusEval Automatic Misogynistic Identification HateMM HatEval OffensEval 2019 ToLD-Br bajer_danish_misogyny DKhate

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	BiLSTM + static BE	F1-score	0.8	—	Unverified
2	BERT	F1-score	0.79	—	Unverified
3	BiLSTM+Attention+FT	F1-score	0.77	—	Unverified
4	OPT-175B (few-shot)	F1-score	0.76	—	Unverified
5	CNN+Attention+FT+GV	F1-score	0.74	—	Unverified
6	OPT-175B (one-shot)	F1-score	0.71	—	Unverified
7	OPT-175B (zero-shot)	F1-score	0.67	—	Unverified
8	SVM	F1-score	0.66	—	Unverified
9	Random Forests	F1-score	0.64	—	Unverified
10	Davinci (zero-shot)	F1-score	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT-MRP	AUROC	0.86	—	Unverified
2	BERT-RP	AUROC	0.85	—	Unverified
3	BERT-HateXplain [Attn]	AUROC	0.85	—	Unverified
4	BERT-HateXplain [LIME]	AUROC	0.85	—	Unverified
5	BERT [Attn]	AUROC	0.84	—	Unverified
6	BiRNN-HateXplain [Attn]	AUROC	0.81	—	Unverified
7	BiRNN-Attn [Attn]	AUROC	0.8	—	Unverified
8	CNN-GRU [LIME]	AUROC	0.79	—	Unverified
9	BiRNN [LIME]	AUROC	0.77	—	Unverified
10	XG-HSI-BERT	Accuracy	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MLARAM	Hamming Loss	0.29	—	Unverified
2	MLkNN	Hamming Loss	0.16	—	Unverified
3	Binary Relevance	Hamming Loss	0.14	—	Unverified
4	Neural Classifier Chains	Hamming Loss	0.13	—	Unverified
5	Neural Binary Relevance	Hamming Loss	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mozafari et al., 2019	AAA	50.94	—	Unverified
2	SVM	AAA	46.51	—	Unverified
3	Kennedy et al., 2020	AAA	45.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HateBERT	Macro F1	0.74	—	Unverified
2	BERT	Macro F1	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mBert	Accuracy	0.83	—	Unverified
2	Logistic Regression	Accuracy	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HXP + CLAP + CLIP	TEST F1 (macro)	0.85	—	Unverified
2	BERT + ViT + MFCC	TEST F1 (macro)	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HateBERT	Macro F1	0.49	—	Unverified
2	BERT	Macro F1	0.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HateBERT	Macro F1	0.81	—	Unverified
2	BERT	Macro F1	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multilingual BERT	F1-score	0.75	—	Unverified
2	AutoML	F1-score	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AOM mBERT	F1	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Baseline	F1	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-large-ST	Macro F1	80.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Baseline BERT (task A)	F1	0.77	—	Unverified