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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
DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil—0
Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models—0
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation VectorsCode0
Multilingual and Multimodal Abuse Detection—0
The Online Behaviour of the Algerian Abusers in Social Media Networks—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
ADIMA: Abuse Detection In Multilingual AudioCode0
Identifying Adversarial Attacks on Text Classifiers—0
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
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
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information—0
Joint Modelling of Emotion and Abusive Language Detection—0
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 Identification—0
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
Challenges and frontiers in abusive content detectionCode0
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