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Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter

In recent years, concerted political efforts have been made at the national and European Union (EU) level to promote the consumption of healthy foods. The European Commission (EC) expressed the need for a harmonized and mandatory front-of-pack nutrition labeling (FOPL) system at the EU level. The EC...

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Autores principales: Septia Irawan, Anggi, Shahin, Balqees, Wangeshi Njuguna, Diana, Nellamkuzhi, Noel Johny, Thiện, Bùi Quốc, Mahrouseh, Nour, Varga, Orsolya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083270/
https://www.ncbi.nlm.nih.gov/pubmed/35548577
http://dx.doi.org/10.3389/fnut.2022.846730
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author Septia Irawan, Anggi
Shahin, Balqees
Wangeshi Njuguna, Diana
Nellamkuzhi, Noel Johny
Thiện, Bùi Quốc
Mahrouseh, Nour
Varga, Orsolya
author_facet Septia Irawan, Anggi
Shahin, Balqees
Wangeshi Njuguna, Diana
Nellamkuzhi, Noel Johny
Thiện, Bùi Quốc
Mahrouseh, Nour
Varga, Orsolya
author_sort Septia Irawan, Anggi
collection PubMed
description In recent years, concerted political efforts have been made at the national and European Union (EU) level to promote the consumption of healthy foods. The European Commission (EC) expressed the need for a harmonized and mandatory front-of-pack nutrition labeling (FOPL) system at the EU level. The EC will adopt the proposal by the end of 2022. Our research work aims to understand the public discourse on FOPL in the EU via Twitter, by analyzing tweet content, sentiment, and mapping network characteristics. Tweet search and data collection were performed using the Twitter application programming interface (API), with no time or language restrictions. The content was coded with the QRS Nvivo software package and analyzed thematically. Automatic sentiment analysis was performed with QSR Nvivo, and network analysis was performed with Gephi 0.9.2. A total of 4,073 tweets were posted, mostly from the UK, Spain, and France. Themes that have emerged from the discussion on Twitter include the types of food labeling, food industry, healthy vs. unhealthy foods in the context of food labeling, EU regulation, political conflicts, and science and education. Nutri-Score dominated the discussion on Twitter. General topics were perceived negatively by Twitter users with more positive sentiments toward the food industry, while negative sentiments were observed toward the discourse of political conflicts. The network analysis showed that a centralized communication was hardly existed between countries. Our results reveal that the discussion of FOPL on Twitter is limited to a very limited group of people, and it seems necessary to inform a wide range of consumers about existing and upcoming FOPL schemes. Educational programs should empower consumers to understand what a healthy diet is and how it relates to FOPL, regardless of the existing labeling system.
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spelling pubmed-90832702022-05-10 Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter Septia Irawan, Anggi Shahin, Balqees Wangeshi Njuguna, Diana Nellamkuzhi, Noel Johny Thiện, Bùi Quốc Mahrouseh, Nour Varga, Orsolya Front Nutr Nutrition In recent years, concerted political efforts have been made at the national and European Union (EU) level to promote the consumption of healthy foods. The European Commission (EC) expressed the need for a harmonized and mandatory front-of-pack nutrition labeling (FOPL) system at the EU level. The EC will adopt the proposal by the end of 2022. Our research work aims to understand the public discourse on FOPL in the EU via Twitter, by analyzing tweet content, sentiment, and mapping network characteristics. Tweet search and data collection were performed using the Twitter application programming interface (API), with no time or language restrictions. The content was coded with the QRS Nvivo software package and analyzed thematically. Automatic sentiment analysis was performed with QSR Nvivo, and network analysis was performed with Gephi 0.9.2. A total of 4,073 tweets were posted, mostly from the UK, Spain, and France. Themes that have emerged from the discussion on Twitter include the types of food labeling, food industry, healthy vs. unhealthy foods in the context of food labeling, EU regulation, political conflicts, and science and education. Nutri-Score dominated the discussion on Twitter. General topics were perceived negatively by Twitter users with more positive sentiments toward the food industry, while negative sentiments were observed toward the discourse of political conflicts. The network analysis showed that a centralized communication was hardly existed between countries. Our results reveal that the discussion of FOPL on Twitter is limited to a very limited group of people, and it seems necessary to inform a wide range of consumers about existing and upcoming FOPL schemes. Educational programs should empower consumers to understand what a healthy diet is and how it relates to FOPL, regardless of the existing labeling system. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9083270/ /pubmed/35548577 http://dx.doi.org/10.3389/fnut.2022.846730 Text en Copyright © 2022 Septia Irawan, Shahin, Wangeshi Njuguna, Nellamkuzhi, Thiện, Mahrouseh and Varga. 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 Nutrition
Septia Irawan, Anggi
Shahin, Balqees
Wangeshi Njuguna, Diana
Nellamkuzhi, Noel Johny
Thiện, Bùi Quốc
Mahrouseh, Nour
Varga, Orsolya
Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter
title Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter
title_full Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter
title_fullStr Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter
title_full_unstemmed Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter
title_short Analysis of Content, Social Networks, and Sentiment of Front-of-Pack Nutrition Labeling in the European Union on Twitter
title_sort analysis of content, social networks, and sentiment of front-of-pack nutrition labeling in the european union on twitter
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083270/
https://www.ncbi.nlm.nih.gov/pubmed/35548577
http://dx.doi.org/10.3389/fnut.2022.846730
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