Abstract
Microblogs and other social media platforms are increasingly used as sources of data for analyzing social issues and problems, and for determining appropriate public policy. Our research investigates the utility of an urban social listening approach in considering quality of life around public facilities in New York City, and the possibility of combining conventional public health data and microblogging data from Twitter to render an instructive sketch of urban neighborhoods. We demonstrate that this approach shows promise, with significant relationships between tweet scores, unemployment rates, and incidences of diabetes in the localized geographies we analyzed. While limitations exist, we provide a roadmap for future research as scholars seek to understand the health and well-being of urban populations.
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Abrahams, A. S., Coupey, E., Zhong, E. X., Barkhi, R., & Manasantivongs, P. S. (2013). Audience targeting by B-to-B advertisement classification: A neural network approach. Expert Systems with Applications, 40(8), 2777–2791.
Antonelli, F., Azzi, M., Balduini, M., Ciuccarelli, P., Valle, E. D., and Larcher, R. 2014. City sensing: visualising mobile and social data about a city scale event. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces. May 2014: 337–338. ACM.
Balduini, M., Della Valle, E., Dell’Aglio, D., Tsytsarau, M., Palpanas, T., and Confalonieri, C. 2013. Social listening of city scale events using the streaming linked data framework. The Semantic Web–ISWC 2013. 1–16. Springer Berlin Heidelberg.
Bertrand, K. Z., Bialik, M., Virdee, K., Gros, a., and Bar-yam, Y. 2013. Sentiment in new york city: A high resolution spatial and temporal view. arXiv preprint arXiv:1308.5010.
Bollen, J., Mao, H., and Pepe, A. 2011. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. In ICWSM. July 2011.
Boniwell, I. 2008. Positive psychology in a nutshell: A balanced introduction to the science of optimal functioning. Personal Well-Being Centre.
Brooks B (2014). Using Twitter data to identify geographic clustering of anti-vaccination sentiments. Master's thesis. digital.lib.washington.edu.
Davern, M., Cummins, R., & Stokes, M. (2007). Subjective wellbeing as an affective- cognitive construct. Journal of Happiness Studies, 8(4), 429–449.
Diener, E., & Seligman, M. E. (2004). Beyond money: Toward an economy of well-being. Psychological Science in the Public Interest, 5(1), 1–31.
Diener, E., Suh, E. M., Lucas, R. E., and Smith, H. E. 1999. Subjective well-being: Three decades of progress. psychological bulletin, 125: 276-302. Duggan, M. 2015. “Mobile messaging and social media – 2015.” pew research center. August 2015. Available at: http://www.pewinternet.org/2015/08/19/mobile-messaging-and-social-media-2015/
Dodds, P. S., Harris, K. D., Kloumann, I. M., Bliss, C. A. and Danforth, C. M. (2011). Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter. PLoS ONE, 6, e26752. https://doi.org/10.1371/journal.pone.0026752.
Frias-Martinez, V., Soto, V., Hohwald, H., and Frias-Martinez, E. 2013. Sensing urban land use with twitter activity.
Fujisaka, T., Lee, R. and Sumiya, K. (2010). Exploring urban characteristics using movement history of mass mobile microbloggers. Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications. ACM.
Gordon, J. 2013. Comparative geospatial analysis of twitter sentiment data during the 2008 and 2012 US presidential elections.
Greenberg, M. R., and Schneider, D. 1996. Environmentally devastated neighborhoods: Perceptions, realities and policies. New Brunswick, NJ: Rutgers University Press.
Hollander, J. B., & Nemeth, J. (2011). The bounds of smart decline: A foundational theory for planning shrinking cities. Housing Policy Debate, 21(3), 349–367.
Hollander, J. B., & Renski, H. (2017). Measuring urban attitudes embedded in microblogging data: Shrinking versus growing cities. The Town Planning Review, 88(4), 465–490.
Hollander, J. B., Pallagst, K., Schwarz, T., & Popper, F. (2009). Planning shrinking cities. Progress in Planning, 72(4), 223–232.
Hollander, Justin B., Erin Graves, Henry Renski, Cara Foster-Karim, Andrew Wiley, and Dibyendu Das. 2016. Urban social listening: Potential and pitfalls of using social media data in studying cities. New York: Palgrave Macmillan.
Kramer, A. D. I. (2010). ‘An unobtrusive behavioral model of “gross national happiness”’. Proceedings of the 28th International Conference on Human factors in Computing Systems – CHI 10, 287–90. https://doi.org/10.1145/1753326.1753369.
Lovelace, R., Malleson, N., Harland, K., and Birkin, M. 2014. Geotagged tweets to inform a spatial interaction model: a case study of museums. arXiv preprint arXiv:1403.5118.
MacEachren, A.M., Robinson, A., Jaiswal1, A., Pezanowski, S., Savelyev, A., Blanford, J., and Mitra, P. 2011. Geo-twitter analytics: Applications in crisis management. 25th international cartographic conference.
Mearns, G., Simmonds, R., Richardson, R., Turner, M., Watson, P., & Missier, P. (2014). Tweet my street: A cross-disciplinary collaboration for the analysis of local twitter data. Future Internet, 6(2), 378–396.
Mitchell, L., Frank, M. R., Harris, K. D., Dodds, P. S., & Danforth, C. M. (2013). The geography of happiness: Connecting twitter sentiment and expression, demographics, and objective characteristics of place. PLoS One, 8(5), e64417.
Mislove A., Lehmann, S., Ahn, Y. Y., Onnela, J. P. and Rosenquist, J. N. (2011). Understanding the Demographics of Twitter Users. The International AAAI Conference on Web and Social Media (ICWSM). July 17.
O'Connor, B., Balasubramanyan, R., Routledge, B. R., & Smith, N. A. (2010). From tweets to polls: Linking text sentiment to public opinion time series. ICWSM, 11, 122–129.
Pennebaker, J.W., Boyd, R.L., Jordan, K., and Blackburn, K. 2015. The development and psychometric properties of LIWC2015. Austin, TX: University of Texas at Austin. https://doi.org/10.15781/T29G6Z.
Poorthuis, A., & Zook, M. (2014). Artists and bankers and hipsters, oh my! Mapping Tweets in the New York Metropolitan Region. Cityscape: A Journal of Policy Development and Research, 16(2), 169–172.
Quercia, D., Ellis, J., Capra, L., and Crowcroft, J. 2012. Tracking gross community happiness from tweets. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. February 2012: 965–968. ACM.
Schwartz, H.A., Eichstaedt, J.C., Kern, M.L., Dziurzynski, L., Lucas, R. E., Agrawal, M., Park, G., Lakshmikanth S.J., Seligmann M., and Ungar, L.H. (2013). Characterizing geographic variation in well-being using tweets. ICWSM.
Schwarz, T. and Rugare, S. (ed.) 2008. Cities growing smaller. Vol. 1.” Urban-Infill. Cleveland: Kent State University Cleveland Urban Design Collaborative.
Schweitzer, L. (2014). Planning and social media: A case study of public transit and stigma on twitter. Journal of the American Planning Association, 80(3), 218–238.
Smith, A. & Brenner, J. (2012). ‘Twitter use 2012’, Pew Internet & American Life Project 4, http://www.pewinternet.org/2012/05/31/twitter-use-2012/. (accessed 1 March 2017).
Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2010). Predicting elections with twitter: What 140 characters reveal about political sentiment. ICWSM, 10, 178–185.
Van Kamp, I., Leidelmeijer, K., Marsman, G., & De Hollander, A. (2003). Urban environmental quality and human well--being: Towards a conceptual framework and demarcation of concepts; a literature study. Landscape and Urban Planning, 65(1), 5–-18.
Acknowledgements
We would like to acknowledge research assistance provided by the following: Alphonsus Adu-Bredu, Owen Searls, Stephanie Savir, Tatiana Marzan, Divya Gandhi, Rachel Lai, Judy Fung, Allison Curtis, Caroline Antonelli, Claudia Aliff, Rebekah Abioye, and John VanderHeide. Chris Gallegos and Noam Saragosti assisted with graphics and mapping. Special thanks go to Terri Matthews, James Russell, Margaret O’Donoghue Castillo, Frederic Bell, Ifeoma Ebo, and Allison Brown, all of the NYC DDC.
Funding
This study was funded by The New York City Department of Design and Construction (grant number 20167204516).
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Appendix 7 Missing citation for Appendix 7. Please provide.New York City Department of Health and Mental Hygiene. Community Health Survey. 2009; http://sasebiweb100. health.dohmh.nycnet/EpiQuery/CHS/index2009.html. Accessed April 1, 2018.
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Hollander, J.B., Renski, H., Foster-Karim, C. et al. Micro Quality of Life: Assessing Health and Well-Being in and around Public Facilities in New York City. Applied Research Quality Life 15, 791–812 (2020). https://doi.org/10.1007/s11482-019-9705-9
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DOI: https://doi.org/10.1007/s11482-019-9705-9