[1I2-J-5] Web Intelligence

[1I2-J-5-04] Analysis of readers in Online News Service

〇Atom Sonoda Sonoda¹, Yoshifumi Seki², Fujio Toriumi¹ (1. The University of Tokyo, 2. Gunosy Inc.)

Keywords:online media, behavioral changes

Information is transmitted through websites, and the immediate reaction to various information is required. Hence, the efforts for readers to select information themselves have increased, which leads to the further improvement of recommendation services that can reduce such burdens. On the other hand, it is pointed out that filter bubbles that only provide biased information to users are generated due to the redundant recommendation. In this research, we analyzed behavioral changes and showed that behavior changes during the period as well as the existing research, and also consider the relationship between the diversity decrease and the period and the number of views.