  Information flows are the result of a constant exchange in Online Social
Networks (OSNs). OSN users create and share varying types of information in
real-time throughout a day. Virality is introduced as a term to describe
information that reaches a wide audience within a small time-frame. As a case,
we measure propagation of information submitted in Reddit, identify different
patterns and present a multi OSN diffusion analysis on Twitter, Facebook, and 2
hosting domains for images and multimedia, ImgUr and YouTube. Our results
indicate that positive content is the most shared and presents the highest
virality probability, and the overall virality probability of user created
information is low. Finally, we underline the problems of limited access in OSN
data. Keywords: Online Social Networks, Virality, Diffusion, Viral Content,
Reddit, Twitter, Facebook, ImgUr, YouTube
