The project Viral Texts describe and evaluate efficient algorithms for detecting clusters of reused passages embedded within longer documents in large collections. What they do with that is use that study for two cases, which are analyzing the culture of free reprinting in the nineteenth-century United States, and the development of bills into legislation of the U.S. Congress. The techniques allow them to understand how ideas spread, which ones spread, and which subgroups shared ideas.