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

When Buffers Backfire: Corporate Social Responsibility Reputation and Consumer Response to Corporate Ethical Transgressions

Marlene Vock, Amsterdam Business School, University of Amsterdam
Adrian Ward, University of Texas at Austin, USA
Margaret C. Campbell, University of Colorado, USA

Read More

Featured

P11. A Price Premium on A Trivial but Weak Preferred Attribute Increase Choice: The Roles of Scarcity, Arousal and Perceived Risk

Yueyan Wu, Hunan University, China
Chunyan Xie, Western Norway University of Applied Sciences
Zhi Yang, Hunan University, China
Luluo Peng, Hunan University, China

Read More

Featured

F8. Dual Routes for Consumer Responses to Corporate Social Responsibility: The Role of Positive Moral Emotions, Attitudes, and Empathy

Chunyan Xie, Western Norway University of Applied Sciences
Richard P. Bagozzi, University of Michigan, 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.