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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

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Showing 26–50 of 73 papers

TitleStatusHype
Did you offend me? Classification of Offensive Tweets in Hinglish LanguageCode0
Multi-label Hate Speech and Abusive Language Detection in Indonesian TwitterCode0
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse DetectionCode0
Online abuse detection: the value of preprocessing and neural attention modelsCode0
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
Pay ``Attention'' to your Context when Classifying Abusive LanguageCode0
Author Profiling for Abuse DetectionCode0
Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse—0
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations—0
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods—0
The Online Behaviour of the Algerian Abusers in Social Media Networks—0
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability—0
Throttling Poisson Processes—0
Toxicity Detection for Indic Multilingual Social Media Content—0
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information—0
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks—0
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
Abusive Language Detection with Graph Convolutional Networks—0
Adversarial Robustness for Tabular Data through Cost and Utility Awareness—0
Aggressive language in an online hacking forum—0
A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection—0
A survey of textual cyber abuse detection using cutting-edge language models and large language models—0
A Unified Deep Learning Architecture for Abuse Detection—0
CoLLAB: A Collaborative Approach for Multilingual Abuse Detection—0
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