New York art gallery exhibition reviews and catalogs analyzed by race and gender
Dataset Description |
This dataset builds on an existing dataset which captures artists’ demographics who are represented by top tier galleries in the 2016–2017 New York art season (Case-Leal, 2017, https://web.archive.org/web/20170617002654/http://www.havenforthedispossessed.org/) with a census of reviews and catalogs about those exhibitions to assess proportionality of media coverage across race and gender. The readme file explains variables, collection, relationship between the datasets, and an example of how the Case-Leal dataset was transformed. The ArticleDataset.csv provides all articles with citation information as well as artist, artistic identity characteristic, and gallery. The ExhibitionCatalog.csv provides exhibition catalog citation information for each identified artist. |
Subject |
Social Sciences |
Keywords |
diversity and inclusion; diversity audit; contemporary art; art exhibitions; art exhibition reviews; exhibition catalogs; magazines; newspapers; demographics |
License |
CC0 |
Funder |
University Library Research and Publication Committee, University of Illinois |
Corresponding Creator |
Emilee Mathews |
Downloaded |
214 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 2 | 10.13012/B2IDB-4704459_V2 | Corrected mistakes affecting one of the article conclusions, changed the information presented to be more clear, and added 1 new file "AllSoloShows.csv" | 2025-04-14 |
| 1 | 10.13012/B2IDB-4704459_V1 | 2024-05-07 |
Contact the Research Data Service for help interpreting this log.
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