Representation and communication: challenges in interpreting large social media datasets
Abstract
Online services provide a range of opportunities for understanding human behaviour through the large aggregate data sets that their operation collects. Yet the data sets they collect do not unproblematically model or mirror the world events. In this paper we use data from Foursquare, a popular location check-in service, to argue for the importance of analysing social media as a communicative rather than representational system. Drawing on logs of all Foursquare check-ins over eight weeks we highlight four features of Foursquare's use: the relationship between attendance and check-ins, event check-ins, commercial incentives to check-in, and lastly humorous check-ins These points show how large data analysis is affected by the end user uses to which social networks are put.
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Data veracity and quality, data relativity and context shifts, and subjectivity filters are challenges in fairness.
“data veracity and quality [320], data relativity and context shifts [42,122,249], and subjectivity ilters [41].”
From Fairness in machine learning: A survey (2024) · cites this paper as [249]
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- Authors
- Rost, M., Barkhuus, L., Cramer, H., & Brown, B.
- Affiliations
- Mobile Life @ SICS, Stockholm, Sweden
- Stockholm University (SE)
- Yahoo (United States) (US)
- Mobile Life @ DSV, Stockholm, Sweden
- Venue
- Proceedings of the 2013 conference on Computer supported cooperative work
- Publisher
- ACM
- Published
- 2013-02-23
- Pages
- 357-362
- OpenAlex
- W2169139847
- Cited by
- 78
- References
- 26
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 6 · 2022: 2 · 2021: 5 · 2020: 3 · 2019: 4 · 2018: 8 · 2017: 15 · 2016: 7 · 2015: 7 · 2014: 12 · 2013: 4
- FWCI
- 13.76
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Conference on Computer Supported Cooperative Work (CSCW) (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/J007617/1)
- Topics
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- Foursquare, social media, communication, representation, large data analysis, event attendance, market incentives, humour, user-generated data
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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