Consistency Across Geosocial Media Platforms

Carsten Keßler, Grant McKenzie

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The increasing use of geosocial media in research to draw quantitative and qualitative conclusions about urban environments bears questions
about the consistency of the data across the different platforms. This paper
therefore presents an initial comparative analysis of data from six different
geosocial media platforms (Facebook, Twitter, Google, Foursquare, Flickr,
and Instagram) for Washington, D.C., using population and zoning data for
reference. We find that there is little consistency between the different platforms at small spatial units and even semantically rich datasets have severe
limitations when predicting functional zones in a city. The results show that
researchers need to carefully evaluate which platform they can use for a particular study, and that more work is needed to better understand the differences between the different platforms.
Original languageEnglish
Title of host publicationAdjunct Proceedings of the 15th International Conference on Location-Based Services : Vienna, Austria on 11—13 November 2019
EditorsGeorg Gartner, Haosheng Huang
Number of pages6
PublisherICA
Publication date2019
Pages213-218
Article number1
Chapter5
DOIs
Publication statusPublished - 2019
Event15th International Conference on Location Based Services - Technical University of Vienna, Wien, Austria
Duration: 11 Nov 201913 Nov 2019
Conference number: 15
https://lbsconference.org

Conference

Conference15th International Conference on Location Based Services
Number15
LocationTechnical University of Vienna
Country/TerritoryAustria
CityWien
Period11/11/201913/11/2019
Internet address

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