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U.S.A."],"published-print":{"date-parts":[[2021,11,16]]},"abstract":"<jats:title>Significance<\/jats:title>\n                  <jats:p>Do different types of information spread differently online? In recent years, studies have sought answers to such questions by comparing statistical properties of network paths taken by different kinds of content diffusing online. Here, we demonstrate the importance of controlling for correlations between properties being compared. In particular, we show that previously reported structural differences between diffusion paths of false and true news on Twitter disappear when comparing only cascades of the same size; differences between diffusion paths of images, videos, news, and petitions persist. 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