Real-Time Fake News Detection and IoT Alert Dissemination using DistilBERT and MQTT

This paper presents a real-time fake news detection framework integrating DistilBERT-driven semantic analysis with MQTT-based IoT alert dissemination. The system classifies misinformation with 94.3% accuracy and issues physical alerts within 0.35 seconds. The architecture combines transformer-based language understanding with lightweight MQTT broadcasting, enabling instant alert notifications to connected IoT devices. This integrated approach enhances intelligent content moderation, rapid misinformation response, and scalable distributed alerting across digital networks.