@INPROCEEDINGS{Gallegos2016msm,
  author =       {Luciano Gallegos and Kristina Lerman and Arthur Huang and David Garcia},
  title =        {Geography of Emotion: Where in a City are People Happier?},
  booktitle =    {WWW workshop on MSM},
  year =         {2016},
  keywords =     {social-dynamics},
  abstract = {During the last years, researchers explored the geographic and environmental factors that affect happiness. More recently,
location-sharing services provided by the social media has given an unprecedented access to geo-located data
for studying the interplay between these factors on a much bigger scale. Do location-sharing services help in turn at
distinguishing emotions in places within a city? Which aspects contribute better at understanding happier places?
To answer these questions, we use data from Foursquare location-sharing service to identify areas within a major US
metropolitan area with many check-ins, i.e., areas that people like to use. We then use data from the Twitter microblogging
platform to analyze the properties of these areas. Specifically, we have extracted a large corpus of geotagged
messages, called tweets, from a major metropolitan area and linked them US Census data through their locations.
This allows us to measure the sentiment expressed in tweets that are posted from a specific area, and also use that
area's demographic properties in analysis. Our results reveal that areas with many check-ins are diffierent from other
areas within the metropolitan region. In particular, these areas have happier tweets, which also encourage people living in it or from other areas to commute longer distances
to these places. These findings shed light on the influence certain places play within a city regarding people's emotions
and mobility, which in turn can be used for city planners for designing happier and more equitable cities.},
url={http://arxiv.org/abs/1507.07632},
}

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More recently, location-sharing services provided by the social media has given an unprecedented access to geo-located data for studying the interplay between these factors on a much bigger scale. Do location-sharing services help in turn at distinguishing emotions in places within a city? Which aspects contribute better at understanding happier places? To answer these questions, we use data from Foursquare location-sharing service to identify areas within a major US metropolitan area with many check-ins, i.e., areas that people like to use. We then use data from the Twitter microblogging platform to analyze the properties of these areas. Specifically, we have extracted a large corpus of geotagged messages, called tweets, from a major metropolitan area and linked them US Census data through their locations. This allows us to measure the sentiment expressed in tweets that are posted from a specific area, and also use that area's demographic properties in analysis. Our results reveal that areas with many check-ins are diffierent from other areas within the metropolitan region. In particular, these areas have happier tweets, which also encourage people living in it or from other areas to commute longer distances to these places. These findings shed light on the influence certain places play within a city regarding people's emotions and mobility, which in turn can be used for city planners for designing happier and more equitable cities.","url":"http://arxiv.org/abs/1507.07632","bibtex":"@INPROCEEDINGS{Gallegos2016msm,\n author = {Luciano Gallegos and Kristina Lerman and Arthur Huang and David Garcia},\n title = {Geography of Emotion: Where in a City are People Happier?},\n booktitle = {WWW workshop on MSM},\n year = {2016},\n keywords = {social-dynamics},\n abstract = {During the last years, researchers explored the geographic and environmental factors that affect happiness. More recently,\nlocation-sharing services provided by the social media has given an unprecedented access to geo-located data\nfor studying the interplay between these factors on a much bigger scale. Do location-sharing services help in turn at\ndistinguishing emotions in places within a city? Which aspects contribute better at understanding happier places?\nTo answer these questions, we use data from Foursquare location-sharing service to identify areas within a major US\nmetropolitan area with many check-ins, i.e., areas that people like to use. We then use data from the Twitter microblogging\nplatform to analyze the properties of these areas. Specifically, we have extracted a large corpus of geotagged\nmessages, called tweets, from a major metropolitan area and linked them US Census data through their locations.\nThis allows us to measure the sentiment expressed in tweets that are posted from a specific area, and also use that\narea's demographic properties in analysis. Our results reveal that areas with many check-ins are diffierent from other\nareas within the metropolitan region. In particular, these areas have happier tweets, which also encourage people living in it or from other areas to commute longer distances\nto these places. These findings shed light on the influence certain places play within a city regarding people's emotions\nand mobility, which in turn can be used for city planners for designing happier and more equitable cities.},\nurl={http://arxiv.org/abs/1507.07632},\n}\n\n","author_short":["Gallegos, L.","Lerman, K.","Huang, A.","Garcia, D."],"key":"Gallegos2016msm","id":"Gallegos2016msm","bibbaseid":"gallegos-lerman-huang-garcia-geographyofemotionwhereinacityarepeoplehappier-2016","role":"author","urls":{"Paper":"http://arxiv.org/abs/1507.07632"},"keyword":["social-dynamics"],"metadata":{"authorlinks":{"lerman, k":"https://www.isi.edu/people-lerman/publications/"}},"downloads":1},"search_terms":["geography","emotion","city","people","happier","gallegos","lerman","huang","garcia"],"keywords":["social-dynamics"],"authorIDs":["fbwoK7T4JSHosNKvD"],"dataSources":["oLYpAfsADT9uCu5oW","P4wbzpDjKahb4Yawu","2RX7MNkKAsdgHwq9X","W9wiZPEd3CMo9Zvyj","6h4p3KcA7HgFLQpDk"]}