[3I1-GS-11] AI and Society:

[3I1-GS-11-04] Japanese Atmosphere Index by Demographics Measured from Social Media Data

Kantaro Kawai¹, 〇Ayuto Togashi¹, Koutarou Tamura², Junichi Shiozaki², Yukie Sano¹ (1. University of Tsukuba, 2. Nomura Research Institute, Ltd.)

Keywords:SNS, Collective emotion

This study aims to understand collective emotions by demographics in Japan using social media data and to identify the differences among them. The research employs the "Japanese Atmosphere Index," which is based on an emotion dictionary constructed using the Profile of Mood States 2 (POMS 2). The index is applied to data from X (formerly Twitter) provided by Hottolink Inc., investigating changes influenced by societal events. Focusing on attributes such as gender and age group, the study highlights findings like a significant difference in the Fatigue between employed and non-employed individuals during the post-Golden Week period, suggesting that societal events have varying emotional impacts across demographics. Furthermore, an analysis of emotional fluctuations by day of the week and month using the Prophet model revealed demographic-specific characteristics, such as differing trends in the Anger between men and women. By applying the methods and results of this demographic-based collective emotion analysis, the study is expected to contribute to enabling businesses and governments to better understand consumer emotional tendencies and needs, thereby facilitating the development of effective marketing strategies and policies.