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The Geography and Importance of Localness in Geotagged Social Media
16 references·16 citing·49 second hopsampled
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References

  • 2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment2,649 cited
  • 2021Understanding the Demographics of Twitter Users760 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 2014Social media for large studies of behavior647 cited
  • 2011Harvesting ambient geospatial information from social media feeds566 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2013The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place515 cited
  • 2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr420 cited
  • 2012Mining User Mobility Features for Next Place Prediction in Location-Based Services336 cited
  • 2010On the "localness" of user-generated content312 cited
  • 2009"OMG, from here, I can see the flames!"307 cited
  • 2021Exploring Social-Historical Ties on Location-Based Social Networks246 cited
  • 2012Mining Travel Patterns from Geotagged Photos229 cited
  • 2014A Tale of Cities: Urban Biases in Volunteered Geographic Information

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215 cited
  • 2021Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice208 cited
  • Cited by

    • 2017Toward a Geographic Understanding of the Sharing Economy101 cited
    • 2017The Effect of Population and "Structural" Biases on Social Media-based Algorithms59 cited
    • 2017Social Media Seamsters50 cited
    • 2017State of the Geotags: Motivations and Recent Changes42 cited
    • 2017Geographic Biases are 'Born, not Made'38 cited
    • 2021Measuring Linguistic Diversity During COVID-1923 cited
    • 2019Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China22 cited
    • 2018Defining and Predicting the Localness of Volunteered Geographic Information using Ground Truth Data21 cited
    • 2018#identity21 cited
    • 2016Positional Accuracy of Twitter and Instagram Images in Urban Environments20 cited
    • 2021Understanding collective human movement dynamics during large-scale events using big geosocial data analytics19 cited
    • 2021Modeling interurban mentioning relationships in the U.S. Twitter network using geo-hashtags16 cited
    • 2020“Here, There and Everywhere”: Classifying Location Information in Social Media Data - Possibilities and Limitations16 cited
    • 2018Distance and Attraction15 cited
    • 2025The city as text14 cited
    • 2020Understanding the Impact of Geographical Distance on Online Discussions14 cited