The propagation of false information, formerly referred to as fake news, during the COVID-19 pandemic has significantly influenced public opinion, primarily leading to widespread concern and confusion. False information concerning prevention, cures, treatments, and anti-vaccine narratives spread rapidly, negatively impacting public health and individual well-being. We provide a scoping review of existing literature, focusing on the types of false information, its propagation patterns, and mitigation approaches. Our review examines literature from the Information Systems (IS) and Computer Science (CS) fields, identifying 127 manuscripts fulfilling our inclusion and exclusion criteria. We analyzed these studies across several themes, including false information topics, data sources, mitigation methods, fact-checking techniques, and their overall impact. We offer recommendations for future research directions in information systems based on our findings. We highlight key lessons learned from prior studies on false information, emphasizing individual, organizational, and societal implications. This study advances the goals of social good by examining the societal impact of false information during global crises and by exploring strategies to mitigate it.