When it comes to the “wisdom of crowds,” measuring “metaknowledge” can separate experts from poseurs.
Is it possible to improve the accuracy of collective knowledge? In this article, science journalist George Musser explains how assessing “metaknowledge” can help determine the accuracy of an individual’s knowledge, and thus, his or her value within the “hive mind.” Through practical examples and study results, Musser persuasively outlines why metaknowledge matters and explores how researchers can use metaknowledge to improve the value of survey data. getAbstract recommends this article to social scientists and anyone interested in the “wisdom of crowds.”
In this summary, you will learn
- Why “metaknowledge” matters and
- How researchers can use metaknowledge to refine “crowd wisdom.”
About the Author
George Musser is a contributing editor for Scientific American, where he focuses on fundamental physics and space science. He is author of the book Spooky Action at a Distance.
Comment on this summary
By the same author
Customers who read this summary also read
Laura Overton and Jenny Dixon
Towards Maturity, 2016
Michael Simmons and Ian Chew
Samir Mehta and Holly Downs