Addressing COVID-19 Vaccine Hesitancy Using Science and AI to Analyse Vaccination and Social Network Data

This project aimed to determine the underlying causes of vaccine hesitancy regarding COVID-19 among young individuals in Serbia, thereby contributing to an increase in vaccination rates. The dataset employed in this research comprised tweets related to COVID-19 vaccination. By integrating sentiment analysis using advanced language models and topic modeling techniques, we identified several categories of reasons for vaccine hesitancy among the youth in these tweets. This project received support from the Government of the Republic of Serbia, the United States Agency for International Development (USAID), and the United Nations Development Programme (UNDP).