Community Analysis of Citizen Science Games by Text Mining

through Foldit, Eyewire, Stall Catchers Analysis

Abstract

In this study, I analyzed the text data in the community of the Citizen Science game "Foldit" by text mining and analyzing the interactions among players on academic matters. The results showed that information on biochemistry and AI were actively shared and discussed beyond the scope of the game. In addition, it was found that there was an active exchange of information on adjacent disciplines such as medical research and programming. Foldit is not only a place to support scientific research, but also a place where academic knowledge is accumulated and discussed.