HackerPapers

arXiv:1703.00045cs.SI

Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds

Joaquin Navajas, Tamara Niella, Gerry Garbulsky, Bahador Bahrami, Mariano Sigman

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

The aggregation of many independent estimates can outperform the most accurate individual judgment. This centenarian finding, popularly known as the wisdom of crowds, has been applied to problems ranging from the diagnosis of cancer to financial forecasting. It is widely believed that social influence undermines collective wisdom by reducing the diversity of opinions within the crowd. Here, we show that if a large crowd is structured in small independent groups, deliberation and social influence within groups improve the crowd's collective accuracy. We asked a live crowd (N=5180) to respond to general-knowledge questions (e.g., what is the height of the Eiffel Tower?). Participants first answered individually, then deliberated and made consensus decisions in groups of five, and finally provided revised individual estimates. We found that averaging consensus decisions was substantially more accurate than aggregating the initial independent opinions. Remarkably, combining as few as four consensus choices outperformed the wisdom of thousands of individuals.

arXiv comments
Journal reference
DOI
Subjects
cs.SISocial and Information Networks physics.soc-phPhysics and Society

On Hacker News

No comments linking this paper were found in the collected sources. Found in 4 HN submissions from Sep 2017 to Dec 2018. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.