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Hate Speech Detection

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하위 태스크: 3
평가표: 15
보존된 평가 기록: 48

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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/palomapiot/geographic-bias

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Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models

https://github.com/palomapiot/metahate

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MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection

https://github.com/parag1604/crush

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CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection

https://github.com/paras2612/catch

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Causality Guided Disentanglement for Cross-Platform Hate Speech Detection

https://github.com/paras2612/peace

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PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework

https://github.com/paul-rottger/efficient-low-resource-hate-detection

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Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

https://github.com/paul-rottger/hate-functional-tests

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HateCheck: Functional Tests for Hate Speech Detection Models

https://github.com/paul-rottger/hatecheck-data

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HateCheck: Functional Tests for Hate Speech Detection Models

https://github.com/paul-rottger/hatecheck-experiments

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HateCheck: Functional Tests for Hate Speech Detection Models

https://github.com/peluz/checking-hatecheck-code

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Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection

https://github.com/pinkeshbadjatiya/twitter-hatespeech

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Deep Learning for Hate Speech Detection in Tweets

https://github.com/pujari-rajkumar/rl-guided-multitask-learning

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Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection

https://github.com/punyajoy/DE-LIMIT

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Deep Learning Models for Multilingual Hate Speech Detection

https://github.com/punyajoy/HateXplain

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HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

https://github.com/punyajoy/Hateminers-EVALITA

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Hateminers : Detecting Hate speech against Women

https://github.com/pytorch/fairseq/tree/main/examples/xglm

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Few-shot Learning with Multilingual Language Models

https://github.com/rajevv/ova-l2d

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Calibrated Learning to Defer with One-vs-All Classifiers

https://github.com/readerbench/semeval-2022-task-5

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UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification

https://github.com/rewire-online/multilingual-hatecheck

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Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models

https://github.com/rezacsedu/BengFastText

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Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

https://github.com/rezacsedu/DeepHateExplainer

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DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

https://github.com/rezacsedu/multimodal-hate-bengali

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Multimodal Hate Speech Detection from Bengali Memes and Texts

https://github.com/rladmstn1714/click

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CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean

https://github.com/ruanchaves/hashformers

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Zero-shot hashtag segmentation for multilingual sentiment analysis

https://github.com/rushendra10/hate-speech-detection-and-target-identification-in-devanagari-languages

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LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs

https://github.com/sajib-kumar/gender-bias-mitigation-from-bangla-plm

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Gender Bias Mitigation for Bangla Classification Tasks

https://github.com/sampannakahu/all_you_need_is_leet

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All You Need is "Leet": Evading Hate-speech Detection AI

https://github.com/satyaSK/Hate-Speech-Detection

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Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models

https://github.com/sayani-kundu/11711-HateXplain

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Exploring Hate Speech Detection with HateXplain and BERT

https://github.com/sayarghoshroy/Hate-Speech-Detection

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Leveraging Multilingual Transformers for Hate Speech Detection

https://github.com/shenmeyemeifashengguo/STATE-ToxiCN

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STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection

https://github.com/sjtuprog/fox-news-comments

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Detecting Online Hate Speech Using Context Aware Models

https://github.com/social-ai-studio/crossmodaltransferlearning

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Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection

https://github.com/social-ai-studio/multihateclip

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MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili

https://github.com/sonlam1102/hate-speech-detection-vlsp-2019

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Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection

https://github.com/sonlam1102/text_augmentation_vietnamese

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Empirical Study of Text Augmentation on Social Media Text in Vietnamese

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.