Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms
Open accessAbstract
We study a new source of bias in online review platforms that originates from the popularity difference between the traveling reviewer’s hometown and destination.
Integrity signals
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A lack of system owner fairness can lead to position and inductive biases.
“A lack of o-fairness can lead to position and inductive biases [42-46].”
From A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research (2024) · cites this paper as [44]
Cites
What can big data and text analytics tell us about hotel guest experience and satisfaction?
Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2014.10.013 · Cited by 953 · see citing works
In Google We Trust: Users’ Decisions on Rank, Position, and Relevance
Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00351.x · Cited by 715 · see citing works
Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue
Ghose, A., Ipeirotis, P. G., & Li, B. (2014) · Management Science · doi:10.1287/mnsc.2013.1828 · Cited by 299 · see citing works
Reputation Transferability in Online Labor Markets
Kokkodis, M., & Ipeirotis, P. G. (2016) · Management Science · doi:10.1287/mnsc.2015.2217 · Cited by 166 · see citing works
Self-citationChen, X., Huang, Q., Davison, R. M., & Hua, Z. (2015) · International Journal of Electronic Commerce · doi:10.1080/10864415.2016.1087828 · Cited by 156 · see citing works
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Roy, F., Ding, X., Choo, K. K. R., & Zhou, P. (2024) · arXiv · doi:10.48550/arxiv.2409.12651
- Authors
- Kokkodis, M., & Lappas, T.
- Affiliations
- Boston College (US)
- Stevens Institute of Technology (US)
- Corresponding author
- Kokkodis, Marios
- Venue
- Information Systems Research
- Published
- 2020-06
- Volume
- 31
- Issue
- 2
- Pages
- 412-430
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2996556610
- Cited by
- 48
- References
- 5
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 9 · 2023: 11 · 2022: 7 · 2021: 5 · 2020: 2 · 2019: 3
- FWCI
- 8.34
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Information Systems Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- online review platforms, reviewer bias, online reviews, destination popularity, travel reviews
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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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