Global Responses to the COVID-19 Pandemic: A Case Study of Spatiotemporal Evidence Finding and Verification

Anonymous

Abstract: This paper explores methods for adapting fact verification models to real-world scenarios that require spatial and temporal inference. As a case study, we search for evidence on governments’ responses to the COVID-19 pandemic. We demonstrate that existing fact verification models perform poorly when the verification requires reasoning about spatiotemporal information.The suggested techniques lead to great improvements and we recommend implementing them for such uses.