In this paper, we propose a model for measuring the credibility of sources of information as an aggregation of the accuracy of previous publications in various mediums on the Web. In conjunction, we are proposing a model for measuring the veracity of various forms of content e.g., articles, blogs, wikis, tweets etc on the Web through crowd-sourced methods leveraging the knowledge and expertise, or lack thereof, of individuals within the community. Both of these proposed metrics, veracity and credibility, are calculated within relevant context or contexts for which content may be associated.