SOTAVerified

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 5160 of 73 papers

TitleStatusHype
Did you offend me? Classification of Offensive Tweets in Hinglish LanguageCode0
ADIMA: Abuse Detection In Multilingual AudioCode0
Detecting Offensive Language in Tweets Using Deep LearningCode0
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse DetectionCode0
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
Understanding Abuse: A Typology of Abusive Language Detection SubtasksCode0
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based FeaturesCode0
HateMonitors: Language Agnostic Abuse Detection in Social MediaCode0
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMsCode0
Online abuse detection: the value of preprocessing and neural attention modelsCode0
Show:102550
← PrevPage 6 of 8Next →

No leaderboard results yet.