Digging up the Dirt on User Generated Content Consumption

Knowledge-sharing online social networks are becoming increasingly pervasive and popular. However, consumption of user generated content in these networks has not been studied extensively despite its significant influence on many social network behaviors. In this work, we study data gathered from digg.com and ireport.com for studying the creation and consumption behavior. We build on our prior work to explore how and why individuals consume content. We also extract creation and consumption features and construct a simple classification model for predicting whether a submission will be consumed in the future.