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Acquisition and Analysis of a Meme Corpus to Investigate Web Culture

URN to cite this document:
Schmidt, Thomas ; Hartl, Philip ; Ramsauer, Dominik ; Fischer, Thomas ; Hilzenthaler, Andreas ; Wolff, Christian
License: Creative Commons Attribution 4.0
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License: Creative Commons Attribution 4.0
PDF - Supplemental Material
Date of publication of this fulltext: 04 Oct 2021 11:26


Memes are a popular part of today’s online culture reflecting current developments in pop-culture, politics or sports and are created and shared in large scale on a daily basis. We present first results of an ongoing project about the study of online-memes via computational Distant Reading methods. We focus on the meme type of image macros. Image macros memes consists of a reusable image template ...


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