This research introduces a novel approach combining Large Language Models with Explainable AI to detect depression signals in social media posts.

• Integrates ChatGPT with BERTweet for interpretable detection of depressive symptoms
• Provides transparent explanations for mental health assessments
• Balances advanced AI capabilities with interpretable results
• Creates a foundation for early intervention systems

This methodology represents a significant advancement for mental health monitoring, enabling healthcare providers to identify at-risk individuals earlier through their digital footprints while maintaining transparency in the AI decision process.

Detecting mental disorder on social media: a ChatGPT-augmented explainable approach