Comparison of Online News Reader Behaviors in Different Cities

Reading the news from internet sites has become a common behavior. As a result, the internet news portals started to receive more traffic. The analysis of these readers' behavior is a difficult problem. However, internet provides the infrastructure to collect the required data. The behavior data of over one billion readers is obtained as a result. In this work, we analyzed the similarities and differences of the internet news readers from different cities based on the preferred news categories. The analysis indicates that the user behaviors in larger cities is different from the smaller cities. Moreover, the behaviors in smaller cities are also different from each other.