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Health claims unpacked: a toolkit to enhance the communication of health claims for food

Li, X., Liang, H. and Liu, Z. (2021) Health claims unpacked: a toolkit to enhance the communication of health claims for food. In: The Conference on Information and Knowledge Management (CIKM), 1-5 NOV 2021, Gold Coast, Queensland, Australia, pp. 4744-4748, (CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management)

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To link to this item DOI: 10.1145/3459637.3481984


Health claims are sentences on the food product packages to claim the nutrition and the benefits of the nutrition. Consumers in different European contexts often have difficulties understanding health claims, leading to increased confusion about and decreased trust in the food they buy. Focusing on this problem, we develop a toolkit for improving the communication of health claim for consumers. The toolkit provides (1) interactive activities to disseminate knowledge about health claims to the public, and (2) an NLP-based analysis and prediction engine that food manufacturers can use to estimate how consumers like the health claims that the manufacturers created. By using the AI-powered toolkit, consumers, manufacturers, and food safety regulators are engaged in determining the different linguistic and cultural barriers to the effective communication of health claims and formulating solutions that can be implemented on multiple levels, including regulation, enforcement, marketing, and consumer education.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:99740


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