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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...

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Detalles Bibliográficos
Autores principales: Aline, Sherman, Hubert, Gilles, Pitarch, Yoann, Thomopoulos, Rallou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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