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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/rezacsedu/multimodal-hate-bengali

공식 코드

Multimodal Hate Speech Detection from Bengali Memes and Texts

https://github.com/rladmstn1714/click

공식 코드

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

공식 코드

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/sharechatai/adima

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ADIMA: Abuse Detection In Multilingual Audio

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

공식 코드

Detecting Online Hate Speech Using Context Aware Models

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

공식 코드

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

https://github.com/sonlam1102/vihsd-vietnamese-hate-speech-detection-dataset

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A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts

https://github.com/ssu-humane/k-haters

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K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings

https://github.com/stevens-textmining/hatemoderate

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HateModerate: Testing Hate Speech Detectors against Content Moderation Policies

https://github.com/suman101112/hasoc-fire-2020

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HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection

https://github.com/surrey-nlp/Video-vs-Meme-Hate

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Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Content

https://github.com/sy-hong/ek-hs-generalizability

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Improving Cross-Domain Hate Speech Generalizability with Emotion Knowledge

https://github.com/t-davidson/hate-speech-and-offensive-language

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Automated Hate Speech Detection and the Problem of Offensive Language

https://github.com/t-i-p/hope-speech-detection-on-social-media-platforms

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Hope Speech Detection on Social Media Platforms

https://github.com/tarudesu/vihatet5

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ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model

https://github.com/tbose20/d-ref

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Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection

https://github.com/tomerwul/MegaSpeech

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Towards Hate Speech Detection at Large via Deep Generative Modeling

https://github.com/tomerwul/charlevelhypernetworks

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Character-level HyperNetworks for Hate Speech Detection

https://github.com/tommasoc80/HateBERT

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HateBERT: Retraining BERT for Abusive Language Detection in English

https://github.com/trustairlab/hatebench

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HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns

https://github.com/ucla-seal/provenanceinspector

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Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking

https://github.com/uds-lsv/emoji-transfer

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Emoji-Based Transfer Learning for Sentiment Tasks

https://github.com/uds-lsv/mphasis

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Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online

https://github.com/uds-lsv/stereokg

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StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes

https://github.com/ukplab/arxiv2023-sociodemographic-prompting

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Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting

https://github.com/urjakh/defverify

공식 코드

DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?

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