Rapid increase of social media use entails rapid spread of misinformation in this age. It is exacerbated in pandemic like sitautions where people are vulnerable and information is scarce. In this project we perform a detailed analysis of claims and study the problems of unstructured online data. Given that we propose a claim detection model that would be adaptive to different domains, we suggest a definition of claim with greater scope. We extract and pre-process a large number of tweets containing claims to form the first large size annotated twitter dataset for this problem. Using our definition of claim, we also form a set of guidelines for future research in this domain. Detection of claims is followed by developing a model to evaluate its veracity using external resources such as knowledge graphs, web, fact checking websites, verified resources, external thesaurus, scientific papers and patents etc.