Faces extracted from Time Magazine 1923-2014

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Author
Jofre, Ana
Berardi, Vincent
Bennett, Carl
Reale, Michael
Cole, Josh
Keyword
Time Magazine archive, 1923 to 2012
Faces
Photographs
Metadata
Datasets
Gender labelling
Gender studies
Sociology
Psychology
Amazon Mechanical Turk (AMT) - crowdsourcing marketplace
Journal title
Journal of Cultural Analytics
Date Published
2020-03-16

Metadata
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URI
http://hdl.handle.net/20.500.12648/7155
Abstract
We present metadata of labeled faces extracted from a Time magazine archive that contains 3,389 issues ranging from 1923 to 2012. The data we are publishing consists of three subsets: Dataset 1) the gender labels and image characteristics for each of the 327,322 faces that were automatically-extracted from the entire Time archive, Dataset 2) a subset of 8,789 faces from a sample of 100 issues that were labeled by Amazon Mechanical Turk (AMT) workers according to ten dimensions (including gender) and used as training data to produce Dataset 1, and Dataset 3) the raw data collected from the AMT workers before being processed to produce Dataset 2.
Citation
Jofre, Ana, Vincent Berardi, Carl Bennett, Michael Reale, and Josh Cole. 2020. “Faces Extracted from Time Magazine 1923-2014.” Journal of Cultural Analytics 5 (1). https://doi.org/10.22148/001c.12265.
DOI
https://doi.org/10.22148/001c.12265
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