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Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.

The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-rel...

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Autores principales: Karami, Amir, Dahl, Alicia A., Shaw, George, Valappil, Sruthi Puthan, Turner-McGrievy, Gabrielle, Kharrazi, Hadi, Bozorgi, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145395/
https://www.ncbi.nlm.nih.gov/pubmed/33946659
http://dx.doi.org/10.3390/healthcare9050518
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author Karami, Amir
Dahl, Alicia A.
Shaw, George
Valappil, Sruthi Puthan
Turner-McGrievy, Gabrielle
Kharrazi, Hadi
Bozorgi, Parisa
author_facet Karami, Amir
Dahl, Alicia A.
Shaw, George
Valappil, Sruthi Puthan
Turner-McGrievy, Gabrielle
Kharrazi, Hadi
Bozorgi, Parisa
author_sort Karami, Amir
collection PubMed
description The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing “diet” or “#diet” shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed to code topics. We found 32 unique topics extracted from more than 800,000 tweets, including a wide range of themes, such as diet types and chronic conditions. Based on the comparative analysis of the topic weights, our results revealed a significant difference between democratic, republican, and swing states. The largest difference was detected between swing and democratic states, and the smallest difference was identified between swing and republican states. Our study provides initial insight on the association of potential political leanings with health (e.g., dietary behaviors). Our results show diet discussions differ depending on the political orientation of the state in which Twitter users reside. Understanding the correlation of dietary preferences based on political orientation can help develop targeted and effective health promotion, communication, and policymaking strategies.
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spelling pubmed-81453952021-05-26 Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S. Karami, Amir Dahl, Alicia A. Shaw, George Valappil, Sruthi Puthan Turner-McGrievy, Gabrielle Kharrazi, Hadi Bozorgi, Parisa Healthcare (Basel) Article The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing “diet” or “#diet” shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed to code topics. We found 32 unique topics extracted from more than 800,000 tweets, including a wide range of themes, such as diet types and chronic conditions. Based on the comparative analysis of the topic weights, our results revealed a significant difference between democratic, republican, and swing states. The largest difference was detected between swing and democratic states, and the smallest difference was identified between swing and republican states. Our study provides initial insight on the association of potential political leanings with health (e.g., dietary behaviors). Our results show diet discussions differ depending on the political orientation of the state in which Twitter users reside. Understanding the correlation of dietary preferences based on political orientation can help develop targeted and effective health promotion, communication, and policymaking strategies. MDPI 2021-04-29 /pmc/articles/PMC8145395/ /pubmed/33946659 http://dx.doi.org/10.3390/healthcare9050518 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Karami, Amir
Dahl, Alicia A.
Shaw, George
Valappil, Sruthi Puthan
Turner-McGrievy, Gabrielle
Kharrazi, Hadi
Bozorgi, Parisa
Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
title Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
title_full Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
title_fullStr Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
title_full_unstemmed Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
title_short Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
title_sort analysis of social media discussions on (#)diet by blue, red, and swing states in the u.s.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145395/
https://www.ncbi.nlm.nih.gov/pubmed/33946659
http://dx.doi.org/10.3390/healthcare9050518
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