Springer Nature OA
open access
CC BY-NC-ND 4.0
A hybrid framework combining large language models and Shapley-based methods for explainable cyberbullying detection
Cyberbullying remains a pervasive threat across social media platforms, highlighting the need for reliable detection systems and transparent decision-making processes. This work presents a comprehensive framework for cyberbullying detection that integrates two complementary eXplainable Artificial In
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