Reading Chicago Reading
Quantitative Analysis of a Repeating Literary Program
Bibliographic Data
| ID | 21835851 |
|---|---|
| Authors | John Shanahan (0000-0002-3054-5701), Robin Burke (0000-0001-5766-6434), Ana Lučić (0000-0002-5509-445X) |
| Year | 2020 |
| Volume | 14 |
| Issue | 2 |
| Publication date | 2020-06-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Digital humanities quarterly (JOURNAL) |
| Journal identifiers | ISSN: 1938-4122 • E-ISSN: 1938-4122 |
| Publisher | The Association for Computers and the Humanities (PUBLISHER) |
| DOI | 10.63744/vuze3wadwxpg |
| OpenAlex | W3096750381 |
| Language | EN |
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
Art · Linguistics · Literature · Computer Science · History · Library Science and Administration · Philosophy · Reading and Literacy Development
| Highly cited | No |
|---|