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Infant food users' perceptions of safety: A web-based analysis approach
This paper aims to explore consumer beliefs about health hazards in infant foods by analyzing data gathered from the web, focusing on forums for parents in the UK. After selecting a subset of posts and classifying them by topic, according to the food product discussed and the health hazard discussed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983817/ https://www.ncbi.nlm.nih.gov/pubmed/36872935 http://dx.doi.org/10.3389/frai.2023.1080950 |
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author | Aline, Sherman Hubert, Gilles Pitarch, Yoann Thomopoulos, Rallou |
author_facet | Aline, Sherman Hubert, Gilles Pitarch, Yoann Thomopoulos, Rallou |
author_sort | Aline, Sherman |
collection | PubMed |
description | This paper aims to explore consumer beliefs about health hazards in infant foods by analyzing data gathered from the web, focusing on forums for parents in the UK. After selecting a subset of posts and classifying them by topic, according to the food product discussed and the health hazard discussed, two types of analyses were performed. Pearson correlation of term-occurrences highlighted what hazard-product pairs are most prevalent. Ordinary Least Squares (OLS) regression performed on sentiment measures generated from the texts provided significant results indicating positive or negative sentiment, objective or subjective language, and confident or unconfident modality associated with different food products and health hazards. The results allow comparison between perceptions obtained in different countries in Europe and may lead to recommendations concerning information and communication priorities. |
format | Online Article Text |
id | pubmed-9983817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99838172023-03-04 Infant food users' perceptions of safety: A web-based analysis approach Aline, Sherman Hubert, Gilles Pitarch, Yoann Thomopoulos, Rallou Front Artif Intell Artificial Intelligence This paper aims to explore consumer beliefs about health hazards in infant foods by analyzing data gathered from the web, focusing on forums for parents in the UK. After selecting a subset of posts and classifying them by topic, according to the food product discussed and the health hazard discussed, two types of analyses were performed. Pearson correlation of term-occurrences highlighted what hazard-product pairs are most prevalent. Ordinary Least Squares (OLS) regression performed on sentiment measures generated from the texts provided significant results indicating positive or negative sentiment, objective or subjective language, and confident or unconfident modality associated with different food products and health hazards. The results allow comparison between perceptions obtained in different countries in Europe and may lead to recommendations concerning information and communication priorities. Frontiers Media S.A. 2023-02-17 /pmc/articles/PMC9983817/ /pubmed/36872935 http://dx.doi.org/10.3389/frai.2023.1080950 Text en Copyright © 2023 Aline, Hubert, Pitarch and Thomopoulos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Aline, Sherman Hubert, Gilles Pitarch, Yoann Thomopoulos, Rallou Infant food users' perceptions of safety: A web-based analysis approach |
title | Infant food users' perceptions of safety: A web-based analysis approach |
title_full | Infant food users' perceptions of safety: A web-based analysis approach |
title_fullStr | Infant food users' perceptions of safety: A web-based analysis approach |
title_full_unstemmed | Infant food users' perceptions of safety: A web-based analysis approach |
title_short | Infant food users' perceptions of safety: A web-based analysis approach |
title_sort | infant food users' perceptions of safety: a web-based analysis approach |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983817/ https://www.ncbi.nlm.nih.gov/pubmed/36872935 http://dx.doi.org/10.3389/frai.2023.1080950 |
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