Measuring search engine bias
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Data bias is rather a relative concept.
“Thus, data bias is rather a relative concept (Mowshowitz and Kawaguchi, 2005).”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Mowshowitz and Kawaguchi, 2005
Cited by
Sorted by citations
Gusenbauer, M., & Haddaway, N. R. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1378 · Cited by 2,379 · see citing works
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 · see citing works
“Thus, data bias is rather a relative concept (Mowshowitz and Kawaguchi, 2005).”
BackgroundQuantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media
Kulshrestha, J., Eslami, M., Messias, J., Zafar, M. B., Ghosh, S., Gummadi, K. P., & Karahalios, K. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/2998181.2998321 · Cited by 148 · see citing works
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · doi:10.2139/ssrn.2886526 · Cited by 763 · see citing works
- Authors
- Mowshowitz, A., & Kawaguchi, A.
- Affiliations
- City College of New York (US)
- Corresponding author
- Mowshowitz, Abbe
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2005-09
- Volume
- 41
- Issue
- 5
- Pages
- 1193-1205
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2099042812
- Cited by
- 68
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 3 · 2015: 5 · 2014: 2 · 2013: 4 · 2012: 2
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Processing & Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- search engine bias, bias measurement, search engines, fair distribution, search engine comparison, subject domain, search terms, precision and recall
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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