  People now see social media sites as their sole source of information due to
their popularity. The Majority of people get their news through social media.
At the same time, fake news has grown exponentially on social media platforms
in recent years. Several artificial intelligence-based solutions for detecting
fake news have shown promising results. On the other hand, these detection
systems lack explanation capabilities, i.e., the ability to explain why they
made a prediction. This paper highlights the current state of the art in
explainable fake news detection. We discuss the pitfalls in the current
explainable AI-based fake news detection models and present our ongoing
research on multi-modal explainable fake news detection model.
