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Abuse Detection

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Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media platforms (Source: https://arxiv.org/abs/1802.00385).

코드

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

https://github.com/mdmustafizurrahman/An-Information-Retrieval-Approach-to-Building-Datasets-for-Hate-Speech-Detection

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An Information Retrieval Approach to Building Datasets for Hate Speech Detection

https://github.com/menelau/hate-speech-mcs

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Selecting and combining complementary feature representations and classifiers for hate speech detection

https://github.com/microsoft/toxigen

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ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

https://github.com/migrationsKB/MGKB

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MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors

https://github.com/minhducbui/multi3hate

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Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models

https://github.com/mohit3011/AbuseAnalyzer

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AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts

https://github.com/nadavsc/haterecognition

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Hate Speech Targets Detection in Parler using BERT

https://github.com/naiveneuron/bryndza-case-2024

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Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA

https://github.com/naslabbgu/parler-hate-speech

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Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab

https://github.com/neerajvashistha/online-hate-speech-recog

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An Online Multilingual Hate speech Recognition System

https://github.com/nlee0212/crehate

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Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis

https://github.com/palomapiot/distil-metahate

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Towards Efficient and Explainable Hate Speech Detection via Model Distillation

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/pinglainstitute/hinduphobia-covid-19-beyond

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HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMs

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/HateMonitors-HASOC

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HateMonitors: Language Agnostic Abuse Detection in Social Media

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/react-nlp/tcab_generation

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TCAB: A Large-Scale Text Classification Attack Benchmark

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

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