I am excited to see my interactive piece, “Visualizing Digital Seriality, or: All Your Mods Are Belong to Us,” out now in the latest issue of Kairos: A Journal of Rhetoric, Technology, and Pedagogy. This is by far the most technically demanding piece of scholarship I have ever produced, and it underwent what is possibly the most rigorous peer-review process to which any of my published articles has ever been subject. If you’re interested in data visualization, distant reading techniques, network graphing, critical code studies, game studies, modding scenes, or Super Mario Bros. (and who doesn’t like Super Mario Bros.?), check it out!
Tag: distant reading
Video: Digital Seriality: Code & Community in the Super Mario Modding Scene
Above you’ll find the video of my talk, “Digital Seriality: Code & Community in the Super Mario Modding Scene,” which I delivered on September 27, 2016 as part of the Interactive Media & Games Seminar Series at Stanford University.
Here is the abstract for my talk:
Digital Seriality: Code & Community in the Super Mario Modding Scene
Shane Denson
Seriality is a common feature of game franchises, with their various sequels, spin-offs, and other forms of continuation; such serialization informs social processes of community-building among fans, while it also takes place at much lower levels in the repetition and variation that characterizes a series of game levels, for example, or in the modularized and recycled code of game engines. This presentation considers how tools and methods of digital humanities — including “distant reading” and visualization techniques — can shed light on serialization processes in digital games and gaming communities. The vibrant “modding” scene that has arisen around the classic Nintendo game Super Mario Bros. (1985) serves as a case study. Automated “reading” techniques allow us to survey a large collection of fan-based game modifications, while visualization software helps to bridge the gap between code and community, revealing otherwise invisible connections and patterns of seriality.