Narrow Algorithmic Searches Perpetuate Bias

People increasingly rely on search engines to answer their questions (e.g. health, financial, political). We show across multiple studies that people’s beliefs are biased by the search terms they use and although people recognize the potential for bias when prompted, they do not sufficiently correct for search engine bias.



Citation:

Eugina (Wai Lun) Leung and Oleg Urminsky (2018) ,"Narrow Algorithmic Searches Perpetuate Bias", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 0-0.

Authors

Eugina (Wai Lun) Leung, Erasmus University Rotterdam, The Netherlands
Oleg Urminsky, University of Chicago, USA



Volume

NA - Advances in Consumer Research Volume 46 | 2018



Share Proceeding

Featured papers

See More

Featured

How Framing Donor Match as Collaboration Impacts Donation: The Importance of In-Context Field Experiments In Fundraising

Indranil Goswami, SUNY Buffalo
Oleg Urminsky, University of Chicago, USA

Read More

Featured

How Do Consumers React to Anthropomorphized Brand Alliance? Applying Interpersonal Expectations to Business-to-Business Relationships

DONGJIN HE, Hong Kong Polytechic University
Fangyuan Chen, Hong Kong Polytechic University
Yuwei Jiang, Hong Kong Polytechic University

Read More

Featured

System Justification and the Preference for Atavistic Products

Minju Han, Yale University, USA
George Newman, Yale University, USA

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.