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Case Study from New Media Theory, taught by Michael Century, Spring 2014.

Abstract: “Big data” can never speak for itself; large data sets are constantly interpreted during the collection and research process. This case study illustrates the utility of data visualization techniques for “reading” data sets to produce appropriate data stories. By being aware of the interpretive nature of computational methods, visualization tools are useful for finding structural differences in data sets as a result of various collection methods- in this case, “gamification.” Using two data sets from the research site GiveALink.org, these differences are enumerated as part of describing the interpretive data visualization process.

Key words: social bookmarks, data visualization, gamification, interpretation, GiveALink.org.

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