Host: The Japanese Society for Artificial Intelligence
Name : The 36th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 36
Location : [in Japanese]
Date : June 14, 2022 - June 17, 2022
While the problems of filter bubbles and echo chambers caused by recommendation systems on digital platforms and the resulting risk of confusion are well understood, the impact of diverse information recommendations on user engagement has not been well analyzed. In this study, we analyzed user behavior logs of a popular news application to determine how the degree of diversity of the news provided by the application affects the user's continuous usage rate. As a result, we found that users who read homogeneous articles had a significantly lower retention rate. At the same time, it was suggested that users who prefer extremely homogeneous articles have a different behavioral pattern.
