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 276–300 of 507 papers

Title	Date	Tasks	Status
TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter:	Jun 25, 2020	Hate Speech Detection	—Unverified
Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets	Jun 1, 2019	Hate Speech Detection	—Unverified
UA at SemEval-2019 Task 5: Setting A Strong Linear Baseline for Hate Speech Detection	Jun 1, 2019	General ClassificationHate Speech Detection	—Unverified
UMUTextStats: A linguistic feature extraction tool for Spanish	Jun 1, 2022	Author ProfilingAuthorship Verification	—Unverified
Understanding and Interpreting the Impact of User Context in Hate Speech Detection	Jun 1, 2021	Hate Speech Detection	—Unverified
Unraveling Social Perceptions & Behaviors towards Migrants on Twitter	Dec 4, 2021	Hate Speech Detection	—Unverified
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach	Jul 27, 2021	Cultural Vocal Bursts Intensity PredictionData Augmentation	—Unverified
Unsupervised Embeddings with Graph Auto-Encoders for Multi-domain and Multilingual Hate Speech Detection	Jun 1, 2022	Hate Speech Detection	—Unverified
Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains	Nov 11, 2024	Hate Speech Detection	—Unverified
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups	May 13, 2024	ArticlesHate Speech Detection	—Unverified
VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination	Oct 12, 2019	Hate Speech Detection	—Unverified
Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model	Jun 1, 2019	Hate Speech Detection	—Unverified
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas	Oct 8, 2019	Active LearningHate Speech Detection	—Unverified
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services	Jun 20, 2024	counterfactualFairness	—Unverified
What is the social benefit of hate speech detection research? A Systematic Review	Sep 26, 2024	Hate Speech DetectionPosition	—Unverified
When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models	Jan 16, 2022	Cross-Lingual TransferHate Speech Detection	—Unverified
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks	May 11, 2023	Hate Speech Detection	—Unverified
Whose Emotions and Moral Sentiments Do Language Models Reflect?	Feb 16, 2024	Hate Speech Detection	—Unverified
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions	Oct 1, 2018	Hate Speech Detection	—Unverified
YNU NLP at SemEval-2019 Task 5: Attention and Capsule Ensemble for Identifying Hate Speech	Jun 1, 2019	Hate Speech Detection	—Unverified
You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection	Dec 16, 2020	Hate Speech Detection	—Unverified
Z-AGI Labs at ClimateActivism 2024: Stance and Hate Event Detection on Social Media	Feb 26, 2024	Event DetectionHate Speech Detection	—Unverified
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection	Apr 1, 2021	Hate Speech Detection	—Unverified
Effect of Word Embedding Models on Hate and Offensive Speech Detection	Nov 23, 2020	Hate Speech Detection	—Unverified
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning	Oct 24, 2020	coreference-resolutionCoreference Resolution	—Unverified

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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