Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study
Journal of Medical Internet Research2023Vol. 25, pp. e49753–e49753
Citations Over TimeTop 10% of 2023 papers
Abstract
COVID-19 vaccine hesitancy and confidence evolved and were influenced by the development of vaccines and viruses during the pandemic. Large-scale self-generated discourses on social media and deep learning models provide a cost-efficient approach to monitoring routine vaccine hesitancy.
Related Papers
- → Observational Studies(2023)30 cited
- → The value of including observational studies in systematic reviews was unclear: a descriptive study(2014)5 cited
- → Comparison of observational posture evaluation methods based on perceived discomfort(2003)11 cited
- → The Effects of Video Observational Training on Video and Live Observational Proficiency(1994)12 cited
- → Observational Methods(2006)12 cited