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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

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Showing 26–50 of 73 papers

TitleStatusHype
Toxicity Detection for Indic Multilingual Social Media Content—0
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors—0
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations—0
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AICode1
A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection—0
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
Generalisability of Topic Models in Cross-corpora Abusive Language Detection—0
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability—0
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective—0
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab PostsCode1
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information—0
KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social MediaCode1
Joint Modelling of Emotion and Abusive Language Detection—0
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse DetectionCode0
Intersectional Bias in Hate Speech and Abusive Language DatasetsCode1
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification—0
Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and TextCode1
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language DetectionCode1
WAC: A Corpus of Wikipedia Conversations for Online Abuse DetectionCode0
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations—0
HateMonitors: Language Agnostic Abuse Detection in Social MediaCode0
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods—0
Pay ``Attention'' to your Context when Classifying Abusive LanguageCode0
Multi-label Hate Speech and Abusive Language Detection in Indonesian TwitterCode0
Challenges and frontiers in abusive content detectionCode0
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