Zhang, Qing and Elsweiler, David and Trattner, Christoph (2020) Visual Cultural Biases in Food Classification. FOODS, 9 (6): 823. ISSN , 2304-8158
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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 machines. The research reveals that algorithms significantly outperform human labellers on this task with a range of biases being present in the decision-making process. The results are important as they have a range of implications for research, such as recommender technology and crowdsourcing, as is discussed in the article.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | FAMILIARITY; visual biases; food classification; crowdsourcing |
| Subjects: | 400 Language > 400 Language, Linguistics |
| Divisions: | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 22 Mar 2021 08:46 |
| Last Modified: | 22 Mar 2021 08:46 |
| URI: | https://pred.uni-regensburg.de/id/eprint/44444 |
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