Hierarchical Multi-Label Classification of Online Vaccine Concerns

Vaccine concerns are an ever-evolving target, and can shift quickly as seen during the COVID-19 pandemic. Identifying longitudinal trends in vaccine concerns and misinformation might inform the healthcare space by helping public health efforts strategically allocate resources or information campaigns. We explore the task of detecting vaccine concerns in online discourse using large language models (LLMs) in a zero-shot setting without the need for expensive training datasets. Since real-time monitoring of online sources requires large-scale inference, we explore cost-accuracy trade-offs …

campaigns classification concerns covid covid-19 covid-19 pandemic cs.ai cs.cl cs.lg discourse explore health healthcare hierarchical information misinformation pandemic public public health resources shift space trends vaccine