Abstract

http://ssrn.com/abstract=2027237
 
 

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Collective Intelligence and Neutral Point of View: The Case of Wikipedia


Shane M. Greenstein


Northwestern University - Kellogg School of Management; National Bureau of Economic Research (NBER)

Feng Zhu


Harvard University - Harvard Business School

June 14, 2012


Abstract:     
We examine whether collective intelligence helps achieve a neutral point of view using data from a decade of Wikipedia’s articles on US politics. Our null hypothesis builds on Linus’ Law, often expressed as “Given enough eyeballs, all bugs are shallow.” Our findings are consistent with a narrow interpretation of Linus’ Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus’ Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant.

Number of Pages in PDF File: 32

Keywords: Wikipedia, Linus' Law, Open Source, Neutral Point of View

JEL Classification: L17, L86

working papers series





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Date posted: March 22, 2012 ; Last revised: August 21, 2014

Suggested Citation

Greenstein, Shane M. and Zhu, Feng, Collective Intelligence and Neutral Point of View: The Case of Wikipedia (June 14, 2012). Available at SSRN: http://ssrn.com/abstract=2027237 or http://dx.doi.org/10.2139/ssrn.2027237

Contact Information

Shane M. Greenstein (Contact Author)
Northwestern University - Kellogg School of Management ( email )
2001 Sheridan Road
Evanston, IL 60208
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feng Zhu
Harvard University - Harvard Business School ( email )
Soldiers Field Road
Morgan 431
Boston, MA 02163
United States
HOME PAGE: http://www.hbs.edu/faculty/Pages/profile.aspx?facId=14938
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