The Economist Historical Advertisements - Master Dataset

Creators:

Kluge, Stefan; Gehrmann, Leonie; Stahl, Florian

Publication Date:

2023

Data Category:

Dataset Description:

This dataset contains metadata of 512.599 historical advertisements from all 8,840 issues of The Economist magazine, years 1843 to 2014. It is part of a series of datasets related to The Economist Historical Archive (https://www.gale.com/intl/c/the-economist-historical-archive). You will need this Master Dataset, if you want to work with any of the related datasets. Each advertisement entry includes various metadata fields such as publication date, issue number, page number, and advertisement dimensions. This structured information enables detailed analyses of trends and patterns within the advertising practices over time. In total, the dataset has a size of 195,4 MB.

Variables:

Name	Description
Filename	Unique identifier of this advertisement
URLs TheEconomistPageScans	comma separated list of URLs to JPG image files of scanned The Economist pages containing this ad. For multi page ads this can be multiple URLs
Date of Issue	Date of The Economist issue (Years-Month-Day)
Bounding Box relative X1	Left-top coordinate of a rectangle identifying the ad on the page, relative to the pixel coordinates of the image from column 2 ("URLs …"). Multiply this value by the width of the image to get the absolute x coordinate. If the ad is a multi page ad, the images from column 2 have to be horizontally concatenated first.
Bounding Box relative Y1	Left-top coordinate
Bounding Box relative X2	Right-bottom coordinate
Bounding Box relative Y2	Right-bottom coordinate
Brand	Brand name of advertiser
Brand is generic (e.g. 'Notices')	If "True" then this ad doesn't represent a single brand, but a category of ad-like content. Most common categories are "Notices", "Appointments", "Courses".
OCR GoogleVision	Advertisement text, based on text recognition using Google Vision API (2021) of the full ad image.
Text Class GoogleVision	Based on the OCR text the ad was classified using GoogleVision API (2021). See full list of categories. This column contains a JSON string with a list of text classes and their class probabilities.

Details:

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