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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4557976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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