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Computational analysis of superfood representations in news media
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Gandhi, Natasha, Meyer, Caroline, Bogdanski, Piotr and Walasek, Lukasz (2023) Computational analysis of superfood representations in news media. Journal of Food Products Marketing, 29 (8-9). pp. 270-290. doi:10.1080/10454446.2023.2273518 ISSN 1540-4102.
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Official URL: https://doi.org/10.1080/10454446.2023.2273518
Abstract
What do berries, avocado, quinoa, and ginger have in common? These food items are often regarded as superfoods, a marketing term that overstates the importance of single food items for one’s health and wellbeing. In the present paper, we set out to investigate how purported superfoods are represented in the discourse of online news. We use computational language models to extract the unique topics and terms used to discuss superfoods. Our results show that news coverage is dominated by many specific claims about the healing properties of superfoods. The structural topic model further demonstrates that articles mentioning superfoods are more likely to include topics about a) nutrients, physical appearance, and health in the same context, b) retail strategies, and c) scientific research about the health benefits of superfoods. These results illustrate complex representations of superfoods in news media.
Item Type: | Journal Article | ||||||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor T Technology > TX Home economics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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SWORD Depositor: | Library Publications Router | ||||||||||||
Library of Congress Subject Headings (LCSH): | Food industry and trade -- Marketing, Food industry and trade -- Technological innovations, Food industry and trade -- Marketing -- Data processing, Food consumption , Food -- Marketing | ||||||||||||
Journal or Publication Title: | Journal of Food Products Marketing | ||||||||||||
Publisher: | Informa UK Limited | ||||||||||||
ISSN: | 1540-4102 | ||||||||||||
Official Date: | 26 October 2023 | ||||||||||||
Dates: |
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Volume: | 29 | ||||||||||||
Number: | 8-9 | ||||||||||||
Page Range: | pp. 270-290 | ||||||||||||
DOI: | 10.1080/10454446.2023.2273518 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 15 February 2024 | ||||||||||||
Date of first compliant Open Access: | 16 February 2024 | ||||||||||||
RIOXX Funder/Project Grant: |
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