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Utilizing HTML-analysis and computer vision on a corpus of website screenshots to investigate design developments on the web

URN to cite this document:
urn:nbn:de:bvb:355-epub-493026
DOI to cite this document:
10.5283/epub.49302
Schmidt, Thomas ; Mosiienko, Anastasiia ; Faber, Raffaela ; Herzog, Juliane ; Wolff, Christian
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Date of publication of this fulltext: 01 Oct 2021 12:25


Abstract

We present preliminary results of a project investigating the design development of popular websites between 1996 and 2020 via HTML analysis and basic computer vision methods. We acquired a corpus of website screenshots of the current top 47 popular websites. We crawled a snapshot of every month of these websites via the wayback machine of the Internet Archive platform since the time snapshots ...

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