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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1080950/full |
| _version_ | 1797903969617444864 |
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| author | Sherman Aline Gilles Hubert Yoann Pitarch Rallou Thomopoulos |
| author_facet | Sherman Aline Gilles Hubert Yoann Pitarch Rallou Thomopoulos |
| author_sort | Sherman Aline |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T09:42:35Z |
| format | Article |
| id | doaj.art-d1d594736b3144a38971ff8320b8cf66 |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-04-10T09:42:35Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-d1d594736b3144a38971ff8320b8cf662023-02-17T08:55:35ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122023-02-01610.3389/frai.2023.10809501080950Infant food users' perceptions of safety: A web-based analysis approachSherman Aline0Gilles Hubert1Yoann Pitarch2Rallou Thomopoulos3Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Informatique de Toulouse (IRIT), Institut National Polytechnique (INP), University of Toulouse, Toulouse, FranceCentre National de la Recherche Scientifique (CNRS), Institut de Recherche en Informatique de Toulouse (IRIT), Institut National Polytechnique (INP), University of Toulouse, Toulouse, FranceCentre National de la Recherche Scientifique (CNRS), Institut de Recherche en Informatique de Toulouse (IRIT), Institut National Polytechnique (INP), University of Toulouse, Toulouse, FranceIngénierie des Agropolymères et Technologies Emergentes (IATE), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Institut Agro, University of Montpellier, Montpellier, FranceThis 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.https://www.frontiersin.org/articles/10.3389/frai.2023.1080950/fullweb miningopinionconsumercontaminantssentiment analysissubjectivity |
| spellingShingle | Sherman Aline Gilles Hubert Yoann Pitarch Rallou Thomopoulos Infant food users' perceptions of safety: A web-based analysis approach Frontiers in Artificial Intelligence web mining opinion consumer contaminants sentiment analysis subjectivity |
| 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 | web mining opinion consumer contaminants sentiment analysis subjectivity |
| url | https://www.frontiersin.org/articles/10.3389/frai.2023.1080950/full |
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