Fake News Detection Using Explainable Artificial Intellingence(XAI)

Key Points

• The central aim is to assess how explainable artificial intelligence can enhance the detection of fake news.
• Assessment of various AI algorithms for fake news detection
• Evaluation of decision pathways in AI models
• Comparison of explainability in detection outcomes
• Increased accuracy in identifying fake news through explainable methods
• Improved user trust in AI systems due to transparent decision-making
• More effective communication of detected misinformation