Cited by 166Information Retrieval and Search BehaviorEthics and Social Impacts of AIMedia Influence and Politics

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Search Engine Bias and the Demise of Search Engine Utopianism

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Goldman, E.·2008·Information Science and Knowledge Management

DOI 10.1007/978-3-540-75829-7_8

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Personalizing search via automated analysis of interests and activities
Teevan, J. B., Dumais, S., & Horvitz, E. (2005) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1076034.1076111 · Cited by 803
Shaping the Web: Why the Politics of Search Engines Matters
Introna, L. D., & Nissenbaum, H. F. (2017) · Routledge eBooks · doi:10.4324/9781315259697-19 · Cited by 696
Real life information retrieval: a study of user queries on the Web
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Proceedings of the 31st international conference on Very large data bases
Bratbergsengen, K. (2005) · International Conference on Multimodal Interfaces · Cited by 408
Personalized search
Pitkow, J. E., Schütze, H., Cass, T. A., Cooley, R., Turnbull, D., Edmonds, A., Adar, E., & Breuel, T. M. (2002) · Communications of the ACM · doi:10.1145/567498.567526 · Cited by 335
Impact of search engines on page popularity
Cho, J. J., & Roy, S. (2004) · International World Wide Web Conference (WWW) · doi:10.1145/988672.988676 · Cited by 284
Open portals or closed gates? Channeling Content on the World Wide Web
Hargittai, E. (2000) · Poetics · doi:10.1016/s0304-422x(00)00006-1 · Cited by 114
Frontier search
Korf, R. E., Zhang, W., Thayer, I., & Hohwald, H. (2005) · Journal of the ACM · doi:10.1145/1089023.1089024 · Cited by 102
Souped-up search engines
Butler, D. (2000) · Nature · doi:10.1038/35012148 · Cited by 80
Bias on the web
Mowshowitz, A., & Kawaguchi, A. (2002) · Communications of the ACM · doi:10.1145/567498.567527 · Cited by 74

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“In other domains, search engine bias can disproportionately ans systematically hide certain voices (Mowshowitz & Kawaguchi, 2002; Diaz, 2008; Goldman, 2005).”
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“For example, search engine algorithms tend to prioritize populating well-known websites and may reduce the reach of less common resources developed by mental health professionals (Goldman, 2008).”
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“This instigates a ―rich-get-richer‖ vicious cycle (also called Googlearchy) that prevents users from getting a variety of information from diverse and underrepresented websites (Diaz, 2008; Goldman, 2008).”
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10.5937/comman1431005l = Search engines as new gatekeepers
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Introduction
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Preface
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Copyright Page
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Epigraph
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“This concentration means that the algorithmic choices of a single company determine how billions of people encounter digital information and render alternative search engines marginal [33 , 34 ].”

Authors: Goldman, E.
Affiliations: Santa Clara University (US)
Corresponding author: Goldman, E.
ORCID: Goldman, E.
Venue: Information Science and Knowledge Management
Publisher: Springer Berlin Heidelberg
Published: 2008
Pages: 121-133
ISSN: 1568-1300 (ISSN-L)
DOI: 10.1007/978-3-540-75829-7_8
OpenAlex: W1670552626
Cited by: 166
References: 13
Citations by year: 2026: 2 · 2025: 4 · 2024: 3 · 2023: 24 · 2022: 4 · 2021: 24 · 2020: 12 · 2019: 13 · 2018: 8 · 2017: 5 · 2016: 9 · 2015: 8 · 2014: 12 · 2013: 13 · 2012: 4
FWCI: 18.45
Type: book chapter
Language: en
Open access: green
papers.ssrn.com
Locations: Information science and knowledge management (publishedVersion)
Santa Clara Law Digital Commons (Santa Clara University) (submittedVersion)
bepress Legal Repository (submittedVersion)
SSRN Electronic Journal (submittedVersion)
Topics: Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Social Sciences › Sociology and Political Science › Media Influence and Politics
Keywords: search engine bias, search engine optimization, personalized search, search engine regulation

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Search Engine Bias and the Demise of Search Engine Utopianism

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