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

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.

[1]  Tim Groseclose,et al.  A Measure of Media Bias , 2005 .

[2]  Sandra Slaughter,et al.  Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects , 2006, Manag. Sci..

[3]  Dirk Riehle,et al.  Proceedings of the 5th International Symposium on Wikis and Open Collaboration , 2009 .

[4]  John Cullen,et al.  Democratizing Innovation , 2020, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

[5]  Gerald C. Kane,et al.  Membership Turnover and Collaboration Success in Online Communities: Explaining Rises , 2011, MIS Q..

[6]  Eric von Hippel,et al.  Democratizing innovation: The evolving phenomenon of user innovation , 2005 .

[7]  Xiaoquan Zhang,et al.  Impact of Wikipedia on Market Information Environment: Evidence on Management Disclosure and Investor Reaction , 2013, MIS Q..

[8]  Mattias Polborn,et al.  Political Polarization and the Electoral Effects of Media Bias , 2006, SSRN Electronic Journal.

[9]  Gerald C. Kane,et al.  Online communities: explaining rises and falls from grace in wikipedia , 2011 .

[10]  Chrysanthos Dellarocas,et al.  Harnessing Crowds: Mapping the Genome of Collective Intelligence , 2009 .

[11]  Aaron Halfaker,et al.  A jury of your peers: quality, experience and ownership in Wikipedia , 2009, Int. Sym. Wikis.

[12]  C. Sunstein Republic.com , 2001 .

[13]  Bryan A. Pendleton,et al.  Power of the Few vs. Wisdom of the Crowd: Wikipedia and the Rise of the Bourgeoisie , 2006 .

[14]  Jesse M. Shapiro,et al.  Media Bias and Reputation , 2005, Journal of Political Economy.

[15]  Wen Wen,et al.  Research Note - The Impact of Intellectual Property Rights Enforcement on Open Source Software Project Success , 2013, Inf. Syst. Res..

[16]  X. Zhang,et al.  Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia , 2010 .

[17]  Sandra Slaughter,et al.  All Are Not Equal: An Examination of the Economic Returns to Different Forms of Participation in Open Source Software Communities , 2013, Inf. Syst. Res..

[18]  Stuart Hannabuss,et al.  The Big Switch: Rewiring the World, from Edison to Google , 2009 .

[19]  Jui Ramaprasad,et al.  Research Note - Music Blogging, Online Sampling, and the Long Tail , 2012, Inf. Syst. Res..

[20]  S. Mullainathan The Market for News , 2003 .

[21]  Valentino Larcinese,et al.  NBER WORKING PAPER SERIES PARTISAN BIAS IN ECONOMIC NEWS: EVIDENCE ON THE AGENDA-SETTING BEHAVIOR OF U.S. NEWSPAPERS , 2007 .

[22]  Sandra Slaughter,et al.  Why Developers Participate in Open Source Software Projects: An Empirical Investigation , 2004, ICIS.

[23]  F. Galton Vox Populi , 1907, Nature.

[24]  Param Vir Singh,et al.  Network Effects: The Influence of Structural Capital on Open Source Project Success , 2011, MIS Q..

[25]  Zsuzsa Csergo,et al.  Talk of the nation , 2007 .

[26]  Sebastian Spaeth,et al.  Code Reuse in Open Source Software , 2008, Manag. Sci..

[27]  Mikolaj Jan Piskorski,et al.  Testing Coleman’s Social-Norm Enforcement Mechanism: Evidence from Wikipedia , 2013 .

[28]  Abraham L. Wickelgren,et al.  Ideological Persuasion in the Media , 2004 .

[29]  E. Gal‐Or,et al.  The Impact of Advertising on Media Bias , 2012 .

[30]  Jesse M. Shapiro,et al.  Ideological Segregation Online and Offline , 2010 .

[31]  Beibei Li,et al.  Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content , 2011, Mark. Sci..

[32]  Diego Rinallo,et al.  Does Advertising Spending Influence Media Coverage of the Advertiser? , 2009 .

[33]  Adam R. Brown Wikipedia as a Data Source for Political Scientists: Accuracy and Completeness of Coverage , 2011, PS: Political Science & Politics.

[34]  Andrea Prat,et al.  Handcuffs for the Grabbing Hand? Media Capture and Government Accountability , 2002 .

[35]  L. Jeppesen,et al.  Getting Unusual Suspects to Solve R&D Puzzles , 2007 .

[36]  Werner Antweiler,et al.  Is All that Talk Just Noise? The Information Content of Internet Stock Message Boards , 2001 .

[37]  J. Giles Internet encyclopaedias go head to head , 2005, Nature.

[38]  John M. Sides,et al.  Self-Segregation or Deliberation? Blog Readership, Participation, and Polarization in American Politics , 2010, Perspectives on Politics.

[39]  E. Brynjolfsson,et al.  The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales , 2013, ICIS 2013.

[40]  Carol M Kelley National Public Radio , 2001 .

[41]  Cindy J. Price,et al.  Interfering Owners or Meddling Advertisers: How Network Television News Correspondents Feel About Ownership and Advertiser Influence on News Stories , 2003 .

[42]  S. Greenstein,et al.  Is Wikipedia Biased , 2012 .

[43]  Eric Zitzewitz,et al.  Do Ads Influence Editors? Advertising and Bias in the Financial Media , 2005 .

[44]  Kevin Crowston,et al.  ICIS 2008 Proceedings , 2008 .

[45]  Alan MacCormack,et al.  Exploring the Structure of Complex Software Designs: An Empirical Study of Open Source and Proprietary Code , 2006, Manag. Sci..

[46]  Tridas Mukhopadhyay,et al.  Voluntary Open-Source - The Effect Appropriability, Externality, and Uncertainty , 2008, ICIS.

[47]  Yong Tan,et al.  Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube , 2012, Inf. Syst. Res..