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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 3140 of 73 papers

TitleStatusHype
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
Generalisability of Topic Models in Cross-corpora Abusive Language Detection0
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability0
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective0
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab PostsCode1
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information0
KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social MediaCode1
Joint Modelling of Emotion and Abusive Language Detection0
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse DetectionCode0
Intersectional Bias in Hate Speech and Abusive Language DatasetsCode1
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