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You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content

We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on...

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Detalles Bibliográficos
Autores principales: Gore, Ross Joseph, Diallo, Saikou, Padilla, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557976/
https://www.ncbi.nlm.nih.gov/pubmed/26332588
http://dx.doi.org/10.1371/journal.pone.0133505
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author Gore, Ross Joseph
Diallo, Saikou
Padilla, Jose
author_facet Gore, Ross Joseph
Diallo, Saikou
Padilla, Jose
author_sort Gore, Ross Joseph
collection PubMed
description We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States. Our work shows how the contents of social media may potentially be used to estimate real-time, population-scale measures of factors related to obesity.
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spelling pubmed-45579762015-09-10 You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content Gore, Ross Joseph Diallo, Saikou Padilla, Jose PLoS One Research Article We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States. Our work shows how the contents of social media may potentially be used to estimate real-time, population-scale measures of factors related to obesity. Public Library of Science 2015-09-02 /pmc/articles/PMC4557976/ /pubmed/26332588 http://dx.doi.org/10.1371/journal.pone.0133505 Text en © 2015 Gore et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gore, Ross Joseph
Diallo, Saikou
Padilla, Jose
You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
title You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
title_full You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
title_fullStr You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
title_full_unstemmed You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
title_short You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
title_sort you are what you tweet: connecting the geographic variation in america’s obesity rate to twitter content
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557976/
https://www.ncbi.nlm.nih.gov/pubmed/26332588
http://dx.doi.org/10.1371/journal.pone.0133505
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