FALCON is a multi-label, graph-based dataset containing COVID-19-related tweets. This dataset includes expert annotations for six fallacy types—loaded language, appeal to fear, appeal to ridicule, hasty generalization, ad hominem, and false dilemma—and allows for the detection of multiple fallacies in a single tweet. The dataset's graph structure enables analysis of the relationships between fallacies and their progression in conversations.