Really excited to share this new work that appeared in the lates issue of Book History. It is based on our multi-year collaboration with Chad Wellmon (UVA) and Mohamed Cheriet (ETS). It represents our second major output from the “Visibility of Knowledge” project, which aims …
One of the students in our lab, Nathan Drezner, has a new collaboration out entitled, “Everyday Specialization: The coherence of editorial communities on Wikipedia.” In this paper, Drezner studies edit histories of over 30,000 Wiki pages across four different cultural domains (science, sports, culture, and …
I have a new book out. It’s called “Can We Be Wrong? The Problem of Textual Evidence in a Time of Data.” The goal of the book is to change the terms of debate surrounding the place of computational literary analysis within the field literary …
In a new piece out in the Goethe Yearbook, I and my co-author, student James Manalad, use text re-use algorithms to better understand citational practices within scholarly publications. In particular we look at how Goethe’s collected works are directly quoted in 68 volumes of the …
Over the past few years I’ve become interested in better understanding how my own discipline works. As someone whose work has changed considerably over the past decade, it’s probably a predictable response. In one sense, it is about asking, How do I fit in? On …
In a new work out, I have teamed-up with my collaborator Stephania DeGaetano-Ortlieb to try to model what we call “the scientization of literary study.” The study of literature has historically been seen as a scholarly practice that is distinct from the natural sciences. Literary …
As part of BookNet Canada‘s on-going webinar series, I recently held a webinar on using data analytics to “debias” books. A lot of discussion has begun in publishing with respect to increasing the diversity of publishers’ lists. The issue is often seen as one that …
A new student collaboration is out. It’s called “Streaming Bias: studying music curation on Spotify” and represents the lab’s first attempt at studying online music content. Lin and LeBrun did an amazing job in conceptualizing the project and working tirelessly from data collection to analysis …