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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 1120 of 73 papers

TitleStatusHype
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online SpacesCode0
Author Profiling for Abuse DetectionCode0
ADIMA: Abuse Detection In Multilingual AudioCode0
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
HateMonitors: Language Agnostic Abuse Detection in Social MediaCode0
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMsCode0
Did you offend me? Classification of Offensive Tweets in Hinglish LanguageCode0
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based FeaturesCode0
Detecting Offensive Language in Tweets Using Deep LearningCode0
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