The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Tale of Cities: Urban Biases in Volunteered Geographic Information
Open accessAbstract
Geotagged tweets, Foursquare check-ins and other forms of volunteered geographic information (VGI) play a critical role in numerous studies and a large range of intelligent technologies. We show that three of the most commonly used sources of VGI – Twitter, Flickr, and Foursquare – are biased towards urban perspectives at the expense of rural ones. Utilizing a geostatistics-based approach, we demonstrate that, on a per capita basis, these important VGI datasets have more users, more information, and higher quality information within metropolitan areas than outside of them. VGI is a subset of user-generated content (UGC) and we discuss how our results suggest that urban biases might exist in non-geographically referenced UGC as well. Finally, because Foursquare is exclusively made up of VGI, we argue that Foursquare (and possibly other location-based social networks) has fundamentally failed to appeal to rural populations.
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Data-driven public policies may only succeed in economically advantaged, urban, and data-rich areas if efforts are not made to improve data collection elsewhere.
“data-driven public policies may only succeed in economically advantaged, urban, and data-rich areas (Hecht and Stephens, 2014; Shelton et al., 2014), if efforts are not made to improve data collection elsewhere”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Hecht and Stephens, 2014
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Global distribution and conservation of rare and threatened vertebrates
Grenyer, R., Orme, C. D. L., Jackson, S. F., Thomas, G. H., Davies, R. G., Davies, T. J., Jones, K. E., Olson, V. A., Ridgely, R. S., Rasmussen, P. C., et al. (2006) · Nature · doi:10.1038/nature05237 · Cited by 569
Where there's a will there's a way: mobile media sharing in urban india
Smyth, T. N., Kumar, S., Medhi, I., & Toyama, K. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753436 · Cited by 122
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763
“For example, data-driven public policies may only succeed in economically advantaged, urban, and data-rich areas (Hecht and Stephens, 2014; Shelton et al., 2014), if efforts are not made to improve data collection elsewhere (see the “digital divide” on section 9.4).”
BackgroundInfluentialMapping Cilento: using geotagged social media data to characterize tourist flows in southern Italy
Chua, A., Servillo, L., Marcheggiani, E., & Moere, A. V. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.06.013 · Cited by 216
The psychology of job loss: using social media data to characterize and predict unemployment
Proserpio, D., Counts, S., & Jain, A. (2016) · Proceedings of the 8th ACM Conference on Web Science · doi:10.1145/2908131.2913008 · Cited by 23
Metadata
- Authors
- Hecht, B., & Stephens, M.
- Affiliations
- University of Minnesota (US)
- University at Buffalo, State University of New York (US)
- ORCID
- Hecht, Brent
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2014-05-16
- Volume
- 8
- Issue
- 1
- Pages
- 197-205
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W285374334
- Cited by
- 215
- References
- 2
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 9 · 2023: 6 · 2022: 10 · 2021: 29 · 2020: 23 · 2019: 29 · 2018: 24 · 2017: 21 · 2016: 28 · 2015: 13 · 2014: 6
- FWCI
- 87.93
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
- AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
- Topics
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Keywords
- volunteered geographic information, urban bias, rural-urban disparity, geo-tagged tweets, Foursquare check-ins, Flickr, user-generated content, location-based social networks, data quality, metropolitan areas, geostatistics
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