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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 6170 of 73 papers

TitleStatusHype
WAC: A Corpus of Wikipedia Conversations for Online Abuse DetectionCode0
Pay ``Attention'' to your Context when Classifying Abusive LanguageCode0
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation VectorsCode0
Challenges and frontiers in abusive content detectionCode0
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot LearningCode0
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online SpacesCode0
Author Profiling for Abuse DetectionCode0
Racial Bias in Hate Speech and Abusive Language Detection DatasetsCode0
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
Offensive Language Analysis using Deep Learning ArchitectureCode0
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