Vaccination Attitude

Understanding vaccination attitudes is crucial for public health, aiming to identify factors influencing vaccine uptake and design effective communication strategies. Current research focuses on leveraging social media data to analyze attitudes in real-time, employing machine learning models—including deep learning and variational autoencoders—to classify and predict vaccination stances, often incorporating cultural and political contexts. These analyses reveal the influence of misinformation, cultural beliefs, and political biases on vaccine hesitancy, providing valuable insights for targeted interventions and improving public health outcomes.