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Research Article

The search engine manipulation effect (SEME) and its possible impact on the outcomes of elections

Robert Epstein and Ronald E. Robertson
  1. American Institute for Behavioral Research and Technology, Vista, CA 92084

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PNAS August 18, 2015 112 (33) E4512-E4521; first published August 4, 2015; https://doi.org/10.1073/pnas.1419828112
Robert Epstein
American Institute for Behavioral Research and Technology, Vista, CA 92084
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  • For correspondence: re@aibrt.org
Ronald E. Robertson
American Institute for Behavioral Research and Technology, Vista, CA 92084
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  1. Edited by Jacob N. Shapiro, Princeton University, Princeton, NJ, and accepted by the Editorial Board July 8, 2015 (received for review October 16, 2014)

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Significance

We present evidence from five experiments in two countries suggesting the power and robustness of the search engine manipulation effect (SEME). Specifically, we show that (i) biased search rankings can shift the voting preferences of undecided voters by 20% or more, (ii) the shift can be much higher in some demographic groups, and (iii) such rankings can be masked so that people show no awareness of the manipulation. Knowing the proportion of undecided voters in a population who have Internet access, along with the proportion of those voters who can be influenced using SEME, allows one to calculate the win margin below which SEME might be able to determine an election outcome.

Abstract

Internet search rankings have a significant impact on consumer choices, mainly because users trust and choose higher-ranked results more than lower-ranked results. Given the apparent power of search rankings, we asked whether they could be manipulated to alter the preferences of undecided voters in democratic elections. Here we report the results of five relevant double-blind, randomized controlled experiments, using a total of 4,556 undecided voters representing diverse demographic characteristics of the voting populations of the United States and India. The fifth experiment is especially notable in that it was conducted with eligible voters throughout India in the midst of India’s 2014 Lok Sabha elections just before the final votes were cast. The results of these experiments demonstrate that (i) biased search rankings can shift the voting preferences of undecided voters by 20% or more, (ii) the shift can be much higher in some demographic groups, and (iii) search ranking bias can be masked so that people show no awareness of the manipulation. We call this type of influence, which might be applicable to a variety of attitudes and beliefs, the search engine manipulation effect. Given that many elections are won by small margins, our results suggest that a search engine company has the power to influence the results of a substantial number of elections with impunity. The impact of such manipulations would be especially large in countries dominated by a single search engine company.

  • search engine manipulation effect
  • search rankings
  • Internet influence
  • voter manipulation
  • digital bandwagon effect

Footnotes

  • ↵1To whom correspondence should be addressed. Email: re{at}aibrt.org.
  • Author contributions: R.E. and R.E.R. designed research, performed research, contributed new reagents/analytic tools, analyzed data, and wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission. J.N.S. is a guest editor invited by the Editorial Board.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1419828112/-/DCSupplemental.

Freely available online through the PNAS open access option.

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Search engine manipulation effect (SEME)
Robert Epstein, Ronald E. Robertson
Proceedings of the National Academy of Sciences Aug 2015, 112 (33) E4512-E4521; DOI: 10.1073/pnas.1419828112

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Search engine manipulation effect (SEME)
Robert Epstein, Ronald E. Robertson
Proceedings of the National Academy of Sciences Aug 2015, 112 (33) E4512-E4521; DOI: 10.1073/pnas.1419828112
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Proceedings of the National Academy of Sciences: 112 (33)
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  • Article
    • Abstract
    • Study 1: Three Experiments in San Diego, CA
    • Study 2: Large-Scale National Online Replication of Experiment 3
    • Study 3: SEME Evaluated During the 2014 Lok Sabha Elections in India
    • Discussion
    • Conclusions
    • Materials and Methods
    • SI Text
    • Acknowledgments
    • Footnotes
    • References
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