During the COVID-19 pandemic, national and international organisations are using social media and online platforms to communicate information about the virus to the public. However, propagation of misinformation has also become prevalent. This can strongly influence human behaviour and negatively impact public health interventions, so it is vital to detect misinformation in a timely manner. For instance, unreliable treatments could put public safety in danger and increase pressure on the health system; failure to comply with government advice may increase the chance of spreading the disease. Veracity assessment of online information is a complex problem, we need to adopt a sophisticated conceptual framework combining techniques and algorithms from natural language processing, knowledge graphs, network analysis, deep learning and visual informatics.