Predicting how stories are shared

Posted on January 14, 2011


Two new research papers reveal patterns on how news stories are shared online. Jure Leskovec, an assistant professor of computer science at Stanford University, and Stanford PhD candidate Jaewon Yang say they can predict a story’s popularity and how it might rise and fall on news sites and social media platforms. The two analyzed 170 million news articles and blog posts online for a year and 580 million Twitter posts for eight months. Could predicting patterns really help news organizations decide what to post and when?

Posted in: Twists and Turns