Leveraging geotagged Twitter data to examine neighborhood happiness,diet, and physical activity |
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| Institution: | 1. Department of Family and Preventive Medicine, Division of Public Health, University of Utah, Salt Lake City, UT, USA;2. Department of Surgery, Division of Emergency Medicine, University of Utah, Salt Lake City, UT, USA;1. Vanderbilt University School of Medicine, Nashville, TN;2. Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, TN;3. Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN;4. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX;5. Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN;6. The Geriatric Research, Education, and Clinical Center, Tennessee Valley Veterans Affairs Health Care System, Nashville, TN;7. Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA;8. Epidemiology and Biostatistics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA;9. School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA;10. Rutgers Cancer Institute of New Jersey, Cancer Surveillance Research Program, New Brunswick, NJ;11. Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA;12. Department of Family and Preventive Medicine and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT;13. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA;14. Center for Health Policy Research and Department of Medicine, University of California Irvine, Irvine, CA;15. Health Policy Research Institute, University of California Irvine, Irvine, CA;p. Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ |
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| Abstract: | ObjectivesUsing publicly available, geotagged Twitter data, we created neighborhood indicators for happiness, food and physical activity for three large counties: Salt Lake, San Francisco and New York.MethodsWe utilize 2.8 million tweets collected between February–August 2015 in our analysis. Geo-coordinates of where tweets were sent allow us to spatially join them to 2010 census tract locations. We implemented quality control checks and tested associations between Twitter-derived variables and sociodemographic characteristics.ResultsFor a random subset of tweets, manually labeled tweets and algorithm labeled tweets had excellent levels of agreement: 73% for happiness; 83% for food, and 85% for physical activity. Happy tweets, healthy food references, and physical activity references were less frequent in census tracts with greater economic disadvantage and higher proportions of racial/ethnic minorities and youths.ConclusionsSocial media can be leveraged to provide greater understanding of the well-being and health behaviors of communities—information that has been previously difficult and expensive to obtain consistently across geographies. More open access neighborhood data can enable better design of programs and policies addressing social determinants of health. |
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| Keywords: | Twitter messaging Neighborhood Happiness Physical activity Diet Food |
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