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Hate Speech Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/Anmol2059/NLPineers
공식 코드https://github.com/Anmol2059/NLPineers_Chipsal
공식 코드https://github.com/Gautamshahi/BilingualYouTubeHateSpeech
공식 코드Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language
https://github.com/GreenParachute/hate-speech-popularity
공식 코드Examining a hate speech corpus for hate speech detection and popularity prediction
https://github.com/HKUST-KnowComp/MLMA_hate_speech
공식 코드https://github.com/JAugusto97/ToLD-Br
공식 코드https://github.com/LCS2-IIITD/Hate_Norm
공식 코드Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
https://github.com/LCS2-IIITD/Hyphen
공식 코드https://github.com/Media-Bias-Group/llm-annotations-annomatic
공식 코드https://github.com/Monoshi-tonmoy/Evaluating-LLMs-on-Hate-Speech-Detection
공식 코드Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization
https://github.com/NASCL/DeL-haTE
공식 코드DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
https://github.com/PalGitts/SAFE-MEME
공식 코드SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
https://github.com/Silly-Machine/TuPyE-Dataset
공식 코드https://github.com/Tawkat/Arabic-CL-Benchmark
공식 코드A Benchmark Study of Contrastive Learning for Arabic Social Meaning
https://github.com/UCSM-DUE/IWG_hatespeech_public
공식 코드Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
https://github.com/UTibetNLP/TSTricker
공식 코드Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model
https://github.com/adeepH/Kan_hope
공식 코드https://github.com/adeeph/kanhope
공식 코드https://github.com/adi2k/precog-hasoc-2021
공식 코드https://github.com/adlnlp/K-MHaS
공식 코드K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment
https://github.com/aflah02/hope_speech_detection
공식 코드Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection
https://github.com/aflah02/the-art-of-embedding-fusion-optimizing-hate-speech-detection
공식 코드The Art of Embedding Fusion: Optimizing Hate Speech Detection
https://github.com/aitor-garcia-p/hate-speech-dataset
공식 코드https://github.com/alatteaday/mrp_hate-speech-detection
공식 코드Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
https://github.com/amitdasrup123/hatebiasnet
공식 코드Investigating Annotator Bias in Large Language Models for Hate Speech Detection
https://github.com/amitdasrup123/hatespeechcorpus
공식 코드Investigating Annotator Bias in Large Language Models for Hate Speech Detection
https://github.com/amritabh/shield
공식 코드Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
https://github.com/angelfelipemp/arabic-hate-speech-covid-19
공식 코드Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages
https://github.com/anhhoang0529/small-lexnormvihsd
공식 코드https://github.com/annon-arch/sands
공식 코드Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
https://github.com/arijrb/multilingual-auxiliary-tasks-training-bridging-the-gap-between-languages-for-zero-shot-transfer-of-
공식 코드https://github.com/atanumandal0491/Multimodality-Hate-Speech-Identification
공식 코드Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection
https://github.com/atanumandal0491/hate-speech-identification
공식 코드Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection
https://github.com/audreycs/impscore
공식 코드ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Language
https://github.com/avaapm/hatespeech
공식 코드Large-Scale Hate Speech Detection with Cross-Domain Transfer
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