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Abuse Detection

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).

Papers

Showing 1–25 of 73 papers

TitleStatusHype
Creating and Evaluating Code-Mixed Nepali-English and Telugu-English Datasets for Abusive Language Detection Using Traditional and Deep Learning Models—0
Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse—0
A survey of textual cyber abuse detection using cutting-edge language models and large language models—0
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMsCode0
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot LearningCode0
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection—0
CoLLAB: A Collaborative Approach for Multilingual Abuse Detection—0
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online SpacesCode0
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages—0
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks—0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device—0
TCAB: A Large-Scale Text Classification Attack BenchmarkCode0
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods—0
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
Adversarial Robustness for Tabular Data through Cost and Utility Awareness—0
Enriching Abusive Language Detection with Community Context—0
DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil—0
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models—0
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation VectorsCode0
Multilingual and Multimodal Abuse Detection—0
The Online Behaviour of the Algerian Abusers in Social Media Networks—0
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from ListsCode1
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
ADIMA: Abuse Detection In Multilingual AudioCode0
Identifying Adversarial Attacks on Text Classifiers—0
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