Author

R. M. Tripathy

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Open access Jul 2026

A topic-driven local interpretable model for explainable rumor detection on social media

This study proposes a novel approach for explainable rumor detection by integrating topic modeling with Local Interpretable Model-agnostic Explanations (LIME), using an unsupervised machine learning technique, specifically Latent Dirichlet Allocation (LDA), to uncover hidden topics within rumor data.

Barsha Pattanaik, Sourav Mandal, R. M. Tripathy et al. · Discover Computing · 0 citations