ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection

This journal article strives to introduce a novel machine learning-based COVID-19 vaccine misinformation detection framework. The researchers collected, annotated and analyzed over fifteen thousand COVID-19 vaccine tweets through a trained machine learning algorithm to classify vaccine misinformation. The classification models explored were XGBoost, LSTM and BERT transformer model; with the best classification performance obtained using BERT. This article provides evidence towards machine learning–based models being effective in detecting misinformation regarding COVID-19 vaccines on social media platforms.