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 4150 of 73 papers

TitleStatusHype
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective0
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information0
Joint Modelling of Emotion and Abusive Language Detection0
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse DetectionCode0
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification0
WAC: A Corpus of Wikipedia Conversations for Online Abuse DetectionCode0
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations0
HateMonitors: Language Agnostic Abuse Detection in Social MediaCode0
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods0
Challenges and frontiers in abusive content detectionCode0
Show:102550
← PrevPage 5 of 8Next →

No leaderboard results yet.