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Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity

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References

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2011Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter809 cited

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2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited

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2017Twitter-derived neighborhood characteristics associated with obesity and diabetes32 cited
2018Capturing and mapping quality of life using Twitter data29 cited
2018Travel and us: the impact of mode share on sentiment using geo-social media and GIS25 cited
2022Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review21 cited
2020Narrative review of social media as a research tool for diet and weight loss21 cited
2016Geocoding and Reverse Geocoding16 cited
2021Changing Trends in Long-Term Sentiments and Neighborhood Determinants in a Shrinking City16 cited
2022An evaluation of geo-located Twitter data for measuring human migration12 cited
2024Building sustainable slow communities: the impact of built environments on leisure-time physical activities in Shanghai12 cited
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2022Analysis of Residential Satisfaction Changes by the Land Bank Program Using Text Mining8 cited
2024Can Social Media Data Help to Understand the Socio-spatial Heterogeneity of the Interests and Concerns of Urban Citizens? A Twitter Data Assessment for Mexico City7 cited