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GI_Forum 2022, Volume 10, Issue 1
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2022, Volume 10, Issue 1, pp. 91-97, 2022/06/29
Social media provide a fast-moving ecosystem for the rapid dissemination of digital maps. Some maps become viral, reaching massive audiences across diverse networks. A new challenge for cartographers is to characterize the design and dissemination of viral maps in social media. Here, we present a prototype visualization tool called MapReverse which allows users to explore collections of map images that are similar to a given viral map. Similar maps are identified using a combination of reverse image search and machine learning image analysis. In some cases, we can identify original sources for maps; more commonly we can identify many modifications of the original viral maps. This system provides a glimpse into the evolution of cartographic design as found in viral social media.
Keywords: virality, cartography, design, image analysis, disinformation