Quantitative Analysis of People's Insights based on the News Articles for Social Issues : Cluster Analysis of Tweets on Nuclear Power Plants

Fukuda Satoshi, Ishita Emi, Nanba Hidetsugu, Shoji Hiroko

doi:10.11492/ceispapersen.2024.1_1

Identifying which factors people consider to be important regarding social issues can help individuals and organizations determine the level of interest and understandings of members of the public, and inform responses to future social issues. We analyzed tweets regarding nuclear power on Twitter from 2020 to 2022 using: 1) news tweets about nuclear power and Twitter-users replies to them, to clarify people’s interest and opinions about nuclear power-related news topics and 2) tweets in which people mentioned nuclear power and news tweets to which they replied, to clarify people’s opinions of nuclear power. In this analysis, two types of news tweets were clustered, and a comparative analysis of both news cluster sets was conducted. The Ukraine Russia conflict and the discharge of treated water were major events occurring in two years, and the number of reply tweets indicated that topics related to these events were of high interest in both news cluster types. Additionally, the topic of power shortages prompted a high level of interest, which was difficult for the media to capture. We used similar clustering of reply tweets in the clusters to obtain an overview of the people's perceptions and understandings.

Quantitative Analysis of People's Insights based on the News Articles for Social Issues : Cluster Analysis of Tweets on Nuclear Power Plants

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