Towards Smart Fake News Detection Through Explainable AI
July 23, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Athira A B, S D Madhu Kumar, Anu Mary Chacko
arXiv ID
2207.11490
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.IR,
cs.SI
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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