Interpreting Insights: Reflecting on Numerical Analyses of Women Writers Online Citations
This is a post in a series authored by our encoding team on the Intertextual Networks project. For more information, see here. By Adam Mazel, WWP and DSG Research Collaborator, Northeastern University What are some of the challenges of interpreting computer-generated literary statistics? In this blog post, I respond to this question by reflecting on my process of computationally analyzing textual citations in Women Writers Online (WWO), a collection of digitized writing in English by women between 1526 and 1850. These citations are…