In this study, quantitative and qualitative research was conducted to identify trends in media usage among infants and children (aged 0-12), or Generation Alpha. The research is based on the idea that media experiences in childhood can have a significant impact on media use in adulthood and can potentially define that generation. Children access YouTube and various media on their smartphones from an early age and are familiar with digital user interfaces. TV usage is high, but TV is used more as a monitor for watching both TV programmes and online videos. Much of their video viewing is directed at real-time TV programmes and YouTube/YouTube Kids. The amount of time spent using smartphone and TVs and viewing of online videos on TV is influenced by how the children’s mothers use media. The study suggests the importance of taking parents’ behaviours into account to better understand children’s media use trends.

This research aims to provide a platform for rapid and effective information sharing on X (Twitter) during disasters. It seeks to efficiently extract vital information from the overwhelming volume of data available. A significant challenge in utilizing social media for disaster response is ensuring the reliability of the information and preventing important information from being overlooked. Ensuring reliability requires human judgment, raising concerns that pinpoint information extraction with conventional text-mining based approach might miss critical information. To address this, our study proposes a method to minimize human verification costs by sweeping out irrelevant (noise) information while retaining essential data. This approach fosters cooperative information collection between humans and computers. In this paper sorted out information that should actually be retained from the perspective of both posted images and posted text, and information that is noise. Our proposal approaches succeeded to narrow down the posts that highly required for human judgement is only 0.564% of posts we have gathered.

Currently, the promotion of online administrative procedures is underway in Japan. However, analyzing the effects of programs implemented for that purpose is essential for efficiently and effectively engaging in these programs. Therefore, we conducted an analysis of the situation regarding the online utilization of administrative procedures in local governments and the corresponding programs to promote online utilization (online utilization promotion programs), using the difference-in-differences analysis method to analyze causal effects. As a result of the analysis, for 4 administrative procedures including “reservation of library books,” “reservation of cultural and sports facilities,” “application for training, seminars, and various events,” and “local tax declaration procedures (eLTAX),” among the online utilization promotion programs, it is considered important to focus on creating an environment that facilitates online procedures, such as providing services accessible from mobile phones and providing services 24 hours a day, 365 days a year, as well as simplifying administrative procedures and standardizing forms and procedures, and simplifying methods of use, to streamline the online utilization of administrative procedures.