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New York art gallery exhibition reviews and catalogs analyzed by race and gender

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DataCite Commons2024-05-07 更新2024-07-13 收录
下载链接:
https://databank.illinois.edu/datasets/IDB-4704459
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资源简介:
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.

本数据集基于一项现有数据集构建,该数据集收录了2016-2017纽约艺术季内由顶尖画廊代理的艺术家的人口统计学信息(Case-Leal, 2017,存档链接:https://web.archive.org/web/20170617002654/http://www.havenforthedispossessed.org/)。本数据集补充了对应展览的评论与展览目录普查数据,旨在评估不同种族与性别群体的媒体报道占比情况。 本数据集的README文件说明了变量定义、数据收集流程、数据集间的关联关系,以及Case-Leal数据集的转换示例。 ArticleDataset.csv 文件包含所有带引用信息的文章,以及对应艺术家、艺术身份特征与所属画廊的相关信息。 ExhibitionCatalog.csv 文件则为每位已识别的艺术家提供展览目录的引用信息。
提供机构:
University of Illinois at Urbana-Champaign
创建时间:
2024-05-07
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