Detecting country of residence from social media data: a comparison of methods-Reference-Cited by-同舟云学术

Detecting country of residence from social media data: a comparison of methods

Published:2022-03-07 Issue:10 Volume:36 Page:1931-1952
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Heikinheimo V.¹²^ORCID,Järv O.¹²^ORCID,Tenkanen H.¹²³^ORCID,Hiippala T.¹²⁴^ORCID,Toivonen T.¹²^ORCID

Affiliation:

1. Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland

2. Urbaria, Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland

3. Department of Built Environment, Aalto University, Espoo, Finland

4. Department of Languages, University of Helsinki, Helsinki, Finland

Funder

Academy of Finland

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2022.2044484

Reference73 articles.

1. Evaluating passive mobile positioning data for tourism surveys: An Estonian case study

2. Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones

3. A survey of location inference techniques on Twitter

4. Global multi-layer network of human mobility

5. Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement

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