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 151–175 of 507 papers

Title	Date	Tasks	Status	Hype
Lexical Squad@Multimodal Hate Speech Event Detection 2023: Multimodal Hate Speech Detection using Fused Ensemble Approach	Sep 23, 2023	Ensemble LearningEvent Detection	CodeCode Available	0
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection	Sep 21, 2023	Hate Speech Detection	CodeCode Available	0
Hate speech detection in algerian dialect using deep learning	Sep 20, 2023	Abusive LanguageDeep Learning	—Unverified	0
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting	Sep 13, 2023	Hate Speech DetectionSensitivity	CodeCode Available	0
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies	Sep 12, 2023	Cross-Lingual TransferHate Speech Detection	—Unverified	0
On the Challenges of Building Datasets for Hate Speech Detection	Sep 6, 2023	Hate Speech Detection	—Unverified	0
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis	Aug 31, 2023	Hate Speech DetectionTransfer Learning	CodeCode Available	0
Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection	Aug 31, 2023	FairnessHate Speech Detection	—Unverified	0
Systematic Offensive Stereotyping (SOS) Bias in Language Models	Aug 21, 2023	FairnessHate Speech Detection	—Unverified	0
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection	Aug 3, 2023	DisentanglementHate Speech Detection	CodeCode Available	0
Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks	Jul 31, 2023	Data AugmentationHate Speech Detection	CodeCode Available	0
ARC-NLP at Multimodal Hate Speech Event Detection 2023: Multimodal Methods Boosted by Ensemble Learning, Syntactical and Entity Features	Jul 25, 2023	ARCDeep Learning	—Unverified	0
Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation	Jul 24, 2023	Few-Shot LearningHate Speech Detection	—Unverified	0
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection	Jul 24, 2023	Contrastive LearningDeep Learning	CodeCode Available	0
HateModerate: Testing Hate Speech Detectors against Content Moderation Policies	Jul 23, 2023	Hate Speech Detection	CodeCode Available	0
Mitigating Label Bias via Decoupled Confident Learning	Jul 18, 2023	FairnessHate Speech Detection	—Unverified	0
Hate Speech Detection via Dual Contrastive Learning	Jul 10, 2023	Contrastive LearningHate Speech Detection	—Unverified	0
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation	Jul 4, 2023	Hate Speech Detection	—Unverified	0
Identity Construction in a Misogynist Incels Forum	Jun 27, 2023	Hate Speech Detection	—Unverified	0
The Art of Embedding Fusion: Optimizing Hate Speech Detection	Jun 26, 2023	Hate Speech Detection	CodeCode Available	0
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines	Jun 26, 2023	Hate Speech Detection	CodeCode Available	0
My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks	Jun 24, 2023	BenchmarkingHate Speech Detection	CodeCode Available	0
Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time	Jun 17, 2023	Hate Speech Detection	CodeCode Available	1
Multi-modal Hate Speech Detection using Machine Learning	Jun 15, 2023	Hate Speech Detection	—Unverified	0
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework	Jun 15, 2023	Hate Speech Detection	CodeCode Available	0

Show:10 25 50

← PrevPage 7 of 21Next →

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 [LIME]	AUROC	0.85	—	Unverified
4	BERT-HateXplain [Attn]	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