Data-driven web entertainment: the data collection and analysis practices of fantasy sports players
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More and more data is available on the Internet. This data can provide the context for new forms of entertainment and edutainment. Here we study fantasy sports as an example of how this happens and how users bound their data-oriented activities. Fantasy sports are enjoyed by many tens of millions of players around the world. But how engaged are these players and how do they manage the information-rich nature of the game? To start to answer these questions, we are investigating players' fantasy sports practices. How much time do they spend playing? What information do they use to make decisions? How do they interact with other players? In this paper, we report on 160 responses to a questionnaire of US-based Amazon Mechanical Turk workers who are selfidentified fantasy sports players. Copyright © 2014 ACM.
author list (cited authors)
Dzodom, G. S., & Shipman, F. M.