Обнаружение кибербуллинга
task
ID: cyberbullyingdetection
Related Papers
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
AbstractThe element of repetition in cyberbullying behavior has directed recent computational studies toward detecting cyberbullying based on a social media session. In contrast to a single text, a session may …...
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
AbstractA limited amount of studies investigates the role of model-agnostic adversarial behavior in toxic content classification. As toxicity classifiers predominantly rely on lexical cues, (deliberately) creative and evolving language-use can …...
Data Expansion Using WordNet-based Semantic Expansion and Word Disambiguation for Cyberbullying Detection
AbstractAutomatic identification of cyberbullying from textual content is known to be a challenging task. The challenges arise from the inherent structure of cyberbullying and the lack of labeled large-scale corpus, …...