Explainable Misinformation Detection Across Multiple Social Media Platforms

Understand

In this work, the integration of two machine learning approaches, namely domain adaptation and explainable AI, is proposed to address these two issues of generalized detection and explainability.

• Firstly the Domain Adversarial Neural Network (DANN) develops a generalized misinformation detector across multiple social media platforms DANN is employed to generate the classification results for test domains with relevant but unseen data.
• The DANN-based model, a traditional black-box model, cannot justify its outcome, i.e., the labels for the target domain.
• Hence a Local Interpretable Model-Agnostic Explanations (LIME) explainable AI model is applied to explain the outcome of the DANN mode.