Year: 2020
Type: article
Abstract: This essay presents quantitative capture and predictive modeling for one of the largest and longest running mass reading programs of the past two decades: One Book One Chicago (OBOC) sponsored by the Chicago Public Library (CPL). The Reading Chicago Reading project uses data associated with OBOC as a probe into city-scale library usage and, by extension, as a window onto contemporary reading behavior. The first half of the essay explains why CPL’s OBOC program is conducive for modeling purposes, and the second half documents the creation of our models, their underlying data, and the results.
Source: Digital humanities quarterly
Authors: John Shanahan, Robin Burke, Ana Lučić
Language: English
Subfield: Library and Information Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
Funder: DePaul University
OpenAlex ID: W3096750381