Comparing language models and machine learning classifiers for detecting humorous vaccine misinformation on social media
Misinformation embedded in humor on social media can be difficult to detect and mitigate. This study investigates the effectiveness of traditional machine learning (ML) models, pre-trained neural language models, and large language models (LLMs) in identifying humor-laden misinformation related to COVID-19 vaccines o...
Emily McKinley, Si-Jia Qian, M. E. Rasul et al.
· Scientific Reports · 0 citations