Location
Hilton Waikoloa Village, Hawaii
Event Website
http://www.hicss.hawaii.edu
Start Date
1-4-2017
End Date
1-7-2017
Description
This action research adopts a case study approach of reliability assurance and need finding for radiation monitoring on social media communication through the development and use of Pocket Geiger (POKEGA), a smartphone-connected radiation detector developed after the Fukushima Nuclear Disaster in Japan. We also facilitated the use of an inclusive Facebook community for radiation monitoring established by volunteer experts and normal users. Interaction through this social media led to credible discussions and enabled dose verification among users. It is important to grasp, at least roughly, the potential needs of and/or information required by users, especially those living in and around affected areas, from among the numerous topics posted by regular citizens and radiation experts on social media. Therefore, we developed a Web service called Crowd Talks to summarize and visualize discussions within the POKEGA community. This tool provides quick analysis and visualization of discussion topics from POKEGA Facebook posts based on natural language processing algorithms such as MeCab, latent Dirichlet allocation, and principal component analysis. Our results suggested that Crowd Talks was able to identify major topic clusters from the Facebook community.
Wisdom of Crowds for Reliable Discussion and Need Finding: A Case Study of Information Sharing Regarding Radiation after the Fukushima Nuclear Disaster
Hilton Waikoloa Village, Hawaii
This action research adopts a case study approach of reliability assurance and need finding for radiation monitoring on social media communication through the development and use of Pocket Geiger (POKEGA), a smartphone-connected radiation detector developed after the Fukushima Nuclear Disaster in Japan. We also facilitated the use of an inclusive Facebook community for radiation monitoring established by volunteer experts and normal users. Interaction through this social media led to credible discussions and enabled dose verification among users. It is important to grasp, at least roughly, the potential needs of and/or information required by users, especially those living in and around affected areas, from among the numerous topics posted by regular citizens and radiation experts on social media. Therefore, we developed a Web service called Crowd Talks to summarize and visualize discussions within the POKEGA community. This tool provides quick analysis and visualization of discussion topics from POKEGA Facebook posts based on natural language processing algorithms such as MeCab, latent Dirichlet allocation, and principal component analysis. Our results suggested that Crowd Talks was able to identify major topic clusters from the Facebook community.
https://aisel.aisnet.org/hicss-50/cl/crisis_and_disaster_management/11