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A Tale of Cities: Urban Biases in Volunteered Geographic Information
9 references·16 citing·42 second hop
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this work references cited by second hop

References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 1993Spatial Autocorrelation: Trouble or New Paradigm?3,720 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2011Citizens as Sensors: The World of Volunteered Geography437 cited
  • 2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr420 cited
  • 2010On the "localness" of user-generated content312 cited
  • 2010A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany285 cited
  • 2013Gender and the GeoWeb: divisions in the production of user-generated cartographic information216 cited

Cited by

  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2016Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy216 cited
  • 2016Social media and political communication in the 2014 elections to the European Parliament207 cited
  • 2016Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia174 cited
  • 2021Population Bias in Geotagged Tweets164 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2017The Geography of Pokémon GO158 cited
  • 2017Leveraging Twitter to gauge evacuation compliance: Spatiotemporal analysis of Hurricane Matthew157 cited
  • 2021Social Media Participation in an Activist Movement for Racial Equality153 cited
  • 2016Understanding the bias of call detail records in human mobility research146 cited
  • 2018Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level125 cited
  • 2018The representativeness and spatial bias of volunteered geographic information: a review118 cited
  • 2019Urban Computing Leveraging Location-Based Social Network Data118 cited
  • 2019Does Campaigning on Social Media Make a Difference? Evidence From Candidate Use of Twitter During the 2015 and 2017 U.K. Elections104 cited
  • 2017Toward a Geographic Understanding of the Sharing Economy101 cited
  • 2020Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods97 cited
  • 2015Systematic patterning in phonologically‐motivated orthographic variation92 cited