TY - JOUR AU - Hogg, Tad AU - Lerman, Kristina PY - 2010/05/16 Y2 - 2024/03/28 TI - Social Dynamics of Digg JF - Proceedings of the International AAAI Conference on Web and Social Media JA - ICWSM VL - 4 IS - 1 SE - Poster Papers DO - 10.1609/icwsm.v4i1.14041 UR - https://ojs.aaai.org/index.php/ICWSM/article/view/14041 SP - 247-250 AB - <p> Online social media often highlight content that is highly rated by neighbors in a social network. For the news aggregator Digg, we use a stochastic model to distinguish the effect of the increased visibility from the network from how interesting content is to users. We find a wide range of interest, and distinguish stories primarily of interest to users in the network from those of more general interest to the user community. This distinction helps predict a story's eventual popularity from users' early reactions to the story. </p> ER -