This paper presented how to improve truth discovery by analyzing accuracy of sources and detecting copying between sources. We describe Bayesian models that discover copiers by analyzing values shared between sources. A case study shows that the presented algorithms can significantly improve accuracy of truth discovery and are scalable when there are a large number of data sources.