[1L4-GS-4] Web intelligence:

[1L4-GS-4-01] Analysis of the Diffusion Process Dynamics and Emotional Transition in the Reiwa Rice Riot

〇Erina Murata^1,2, Fujio Toriumi² (1. Waseda University, 2. The University of Tokyo)

Keywords:Computational Social Science, SNS, Sentiment Analysis, Natural Language Processing

This study aims to clarify how the "Reiwa Rice Riot" spread and subsided through X and news media, focusing on changes in emotions. To analyze the characteristics of information diffusion and resolution, we used three indicators: the transition of the number of posts, emotions, and polarity strength. X exhibited highly immediate reactions, with fear and expectation intersecting at the earliest stage. Additionally, news articles showed a temporary surge in polarity before reaching their peak in number, followed by a decline. These results suggest that different media have distinct timing in information transmission and emotional expression.