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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Main Authors: Amir Karami, Alicia A. Dahl, George Shaw, Sruthi Puthan Valappil, Gabrielle Turner-McGrievy, Hadi Kharrazi, Parisa Bozorgi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/9/5/518
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spelling doaj-34ffc5643d9445ba82a33ffbdf36dd1d2021-04-29T23:00:34ZengMDPI AGHealthcare2227-90322021-04-01951851810.3390/healthcare9050518Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.Amir Karami0Alicia A. Dahl1George Shaw2Sruthi Puthan Valappil3Gabrielle Turner-McGrievy4Hadi Kharrazi5Parisa Bozorgi6School of Information Science, University of South Carolina, Columbia, SC 29208, USADepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USADepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USAComputer Science and Engineering Department, University of South Carolina, Columbia, SC 29208, USAArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USABloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USAArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USAThe 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.https://www.mdpi.com/2227-9032/9/5/518politicsdietsocial mediahealthtext mining
collection DOAJ
language English
format Article
sources DOAJ
author Amir Karami
Alicia A. Dahl
George Shaw
Sruthi Puthan Valappil
Gabrielle Turner-McGrievy
Hadi Kharrazi
Parisa Bozorgi
spellingShingle Amir Karami
Alicia A. Dahl
George Shaw
Sruthi Puthan Valappil
Gabrielle Turner-McGrievy
Hadi Kharrazi
Parisa Bozorgi
Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
Healthcare
politics
diet
social media
health
text mining
author_facet Amir Karami
Alicia A. Dahl
George Shaw
Sruthi Puthan Valappil
Gabrielle Turner-McGrievy
Hadi Kharrazi
Parisa Bozorgi
author_sort Amir Karami
title 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_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_sort analysis of social media discussions on (#)diet by blue, red, and swing states in the u.s.
publisher MDPI AG
series Healthcare
issn 2227-9032
publishDate 2021-04-01
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.
topic politics
diet
social media
health
text mining
url https://www.mdpi.com/2227-9032/9/5/518
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