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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 51–73 of 73 papers

TitleStatusHype
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective—0
Context-Aware Attention for Understanding Twitter Abuse—0
Conversational Networks for Automatic Online Moderation—0
Creating and Evaluating Code-Mixed Nepali-English and Telugu-English Datasets for Abusive Language Detection Using Traditional and Deep Learning Models—0
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models—0
DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil—0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device—0
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks—0
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection—0
Enriching Abusive Language Detection with Community Context—0
Generalisability of Topic Models in Cross-corpora Abusive Language Detection—0
Graph-based Features for Automatic Online Abuse Detection—0
Identifying Adversarial Attacks on Text Classifiers—0
Impact Of Content Features For Automatic Online Abuse Detection—0
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors—0
Joint Modelling of Emotion and Abusive Language Detection—0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets—0
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification—0
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods—0
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages—0
Multilingual and Multimodal Abuse Detection—0
Neural Character-based Composition Models for Abuse Detection—0
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages—0
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