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 276–300 of 507 papers

Title	Date	Tasks	Status	Hype
OPT: Open Pre-trained Transformer Language Models	May 2, 2022	DecoderHate Speech Detection	CodeCode Available	5
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models	May 1, 2022	Abuse DetectionHate Speech Detection	—Unverified	0
Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection	May 1, 2022	BenchmarkingHate Speech Detection	CodeCode Available	0
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models	Apr 30, 2022	DiagnosticHate Speech Detection	CodeCode Available	0
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online	Apr 28, 2022	ArticlesHate Speech Detection	CodeCode Available	0
Multimodal Hate Speech Detection from Bengali Memes and Texts	Apr 19, 2022	Fake News DetectionHate Speech Detection	CodeCode Available	0
Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi	Apr 19, 2022	ArticlesClassification	—Unverified	0
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection	Apr 15, 2022	FairnessHate Speech Detection	—Unverified	0
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference	Apr 14, 2022	Hate Speech DetectionNatural Language Inference	—Unverified	0
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection	Apr 13, 2022	Hate Speech Detection	CodeCode Available	0
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification	Apr 12, 2022	Domain AdaptationHate Speech Detection	CodeCode Available	0
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection	Apr 8, 2022	Hate Speech Detection	CodeCode Available	0
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection	Mar 27, 2022	DiagnosticHate Speech Detection	CodeCode Available	0
L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models	Mar 25, 2022	Hate Speech Detection	—Unverified	0
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection	Mar 23, 2022	Hate Speech Detection	CodeCode Available	0
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists	Mar 17, 2022	Abuse DetectionBias Detection	CodeCode Available	1
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection	Mar 17, 2022	Hate Speech DetectionLanguage Modelling	CodeCode Available	2
Large-Scale Hate Speech Detection with Cross-Domain Transfer	Mar 2, 2022	Hate Speech DetectionTransfer Learning	CodeCode Available	1
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets	Feb 25, 2022	Hate Speech Detection	CodeCode Available	1
Deep Learning for Hate Speech Detection: A Comparative Study	Feb 19, 2022	Computational EfficiencyDeep Learning	CodeCode Available	1
Emotion Based Hate Speech Detection using Multimodal Learning	Feb 13, 2022	Hate Speech DetectionMultimodal Deep Learning	—Unverified	0
Calibrated Learning to Defer with One-vs-All Classifiers	Feb 8, 2022	AllHate Speech Detection	CodeCode Available	0
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media	Jan 28, 2022	Active LearningHate Speech Detection	—Unverified	0
Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab	Jan 27, 2022	Hate Speech DetectionTransfer Learning	CodeCode Available	0
Highly Generalizable Models for Multilingual Hate Speech Detection	Jan 27, 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 [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