This paper aims to analyze how and why Japan's new coronavirus contact tracking and tracing application has not been supported by people and in effect been ineffective in preventing the spread of infection of COVID-19. Ministry of Health, Labor and Welfare of Japan released COCOA on June 17,...

Prior studies show that both mass and social media have played an influential role after the Great East Japan Earthquake, in particular, media information can affect a person's perception of the disaster as well as their behavioural intention of post-disaster activities. However, currently the...

Studies find that in time of crisis such as natural disasters, in most cases, people in crowds are capable to remain calm and to help each other. Referred as 'collective resilience', this capability can increase a society's capacity to withstand crises and disasters. Therefore, for both academia...

The aim of this paper is to investigate the effect of the simultaneous use of mass and social media on the users' level of general knowledge of social issues in the highly mediated society in Japan. In particular, it focuses on one of the recent major trends in media convergence known as...

The aim of this study is to investigate how the use of Information and Communication Technology (ICT) and mass media can motivate people in the disaster area to recover from the Great East Japan Earthquake with empirical data. Both ICT and mass media have played an important role after the...

This paper is the first part of a two-part study that aims to examine the relationship between collective resilience and ICT and media information. Previous studies find that in disaster and emergency situations, most people are capable to remain coherent and to offer mutual help. Referred as...

This study examines factors that affect disaster evacuees' usage of different media in a multi-channel media environment, which means that people can receive similar content from multiple media channels. Using the 2016 Kumamoto Earthquake in Japan as the case study, we find that that...

This study quantitatively examines how the term "fake news" is being portrayed by the Japanese news media using semantic network analysis. It uses newspapers as the representative as they are still one of the most influential news media in Japan. The data set consists of 624 newspaper articles...