Our analysis is based on a dataset made publicly available by BlogPulse, and employs a machine learning model that detects splogs with an accuracy of 90%. To round off this analysis and to better understand splogs, we also present our study of a popular blog update ping server,and show how they are overwhelmed by pings sent by splogs.This overall study will facilitate finding effective new tech-niques to detect and weed out splogs from the blogosphere.
