Health Misinformation

Health misinformation, particularly in the medical domain, poses a significant threat to public health and well-being, driving research focused on its detection and mitigation. Current efforts leverage machine learning, employing large language models (LLMs) and graph-based neural networks to identify misleading claims across various platforms like social media and online news sources, analyzing both textual content and patterns of information spread. These advancements aim to improve the accuracy and speed of misinformation detection, ultimately informing public health interventions and promoting more reliable information access.