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Visual Cultural Biases in Food Classification

URN to cite this document:
urn:nbn:de:bvb:355-epub-434061
DOI to cite this document:
10.5283/epub.43406
Zhang, Qing ; Elsweiler, David ; Trattner, Christoph
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 25 Jun 2020 12:33


Abstract

This article investigates how visual biases influence the choices made by people and machines in the context of online food. To this end the paper investigates three research questions and shows (i) to what extent machines are able to classify images, (ii) how this compares to human performance on the same task and (iii) which factors are involved in the decision making of both humans and ...

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