emoto is a unique data art project that sets out to visualise the worldwide emotional response to the Olympic Games 2012. We track social media sites for themes related to the games and analyse the messages for content and emotional tone, using the datasift platform. The collected emotion data can be tracked real-time in our web-based visualisation as the events unfold, and experienced in an on-site installation in London. After the games, a tangible data sculpture serves as an aggregate archive of the collective response to the games.
Building a platform which visualises the social media response to a large scale event in real-time poses some significant challenges in system and UI design. In this talk, we will shed some light on the technical and design decisions involved, and how to effectively deal with large stream of social media messages. We will also discuss how data analysis, UI prototypes and system design continuously need to cross-fertilize in order to create a sound and engaging overall experience for the users.