IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/18167.html
   My bibliography  Save this paper

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

Author

Listed:
  • Shane Greenstein
  • Feng Zhu

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.

Suggested Citation

  • Shane Greenstein & Feng Zhu, 2012. "Collective Intelligence and Neutral Point of View: The Case of Wikipedia," NBER Working Papers 18167, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18167
    Note: IO PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w18167.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Larcinese, Valentino & Puglisi, Riccardo & Snyder Jr., James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1178-1189, October.
    2. Shane Greenstein & Feng Zhu, 2012. "Is Wikipedia Biased?," American Economic Review, American Economic Association, vol. 102(3), pages 343-348, May.
    3. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    4. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1799-1839.
    5. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    6. Xiaoquan (Michael) Zhang & Feng Zhu, 2011. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia," American Economic Review, American Economic Association, vol. 101(4), pages 1601-1615, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2017. "The Production of Information in an Online World: Is Copy Right?," Working Papers hal-03393171, HAL.
    2. Yann Algan & Yochai Benkler & Mayo Fuster Morell & Jérôme Hergueux, 2013. "Cooperation in Peer-Production Economy: Experimental Evidence from Wikipedia," SciencePo Working papers Main hal-03460797, HAL.
    3. Yann Algan & Yochai Benkler & Mayo Fuster Morell & Jerome Hergueux, 2013. "Cooperation in Peer-Production Economy: Experimental Evidence from Wikipedia," Sciences Po publications info:hdl:2441/5ulf84sluc9, Sciences Po.
    4. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2017. "The Production of Information in an Online World: Is Copy Right?," Working Papers hal-03393171, HAL.
    5. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2017. "The Production of Information in an Online World: Is Copy Right?," Working Papers hal-03393171, HAL.
    6. Victor M. Bennett & Robert Seamans & Feng Zhu, 2015. "Cannibalization and option value effects of secondary markets: Evidence from the US concert industry," Strategic Management Journal, Wiley Blackwell, vol. 36(11), pages 1599-1614, November.
    7. Kummer, Michael E. & Saam, Marianne & Halatchliyski, Iassen & Giorgidze, George, 2012. "Centrality and content creation in networks: The case of German Wikipedia," ZEW Discussion Papers 12-053 [rev.], ZEW - Leibniz Centre for European Economic Research.
    8. Thomas Boulton & Bill B. Francis & Thomas Shohfi & Daqi Xin, 2021. "Investor awareness or information asymmetry? Wikipedia and IPO underpricing," The Financial Review, Eastern Finance Association, vol. 56(3), pages 535-561, August.
    9. repec:hal:wpspec:info:hdl:2441/3tcpvf3sd399op9sgtn8tq5bhd is not listed on IDEAS
    10. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2018. "The Production of Information in an Online World: Is Copy Right?," SciencePo Working papers Main hal-03393151, HAL.
    11. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2018. "The Production of Information in an Online World: Is Copy Right?," Post-Print hal-03393151, HAL.
    12. Kummer, Michael E. & Saam, Marianne & Halatchliyski, Iassen & Giorgidze, George, 2016. "Centrality and content creation in networks - The case of economic topics on German wikipedia," Information Economics and Policy, Elsevier, vol. 36(C), pages 36-52.
    13. repec:hal:spmain:info:hdl:2441/1ikqf7qv0m8h7q6lmc4ng73ueq is not listed on IDEAS
    14. repec:hal:spmain:info:hdl:2441/5ulf84sluc9vlb5mrjr32mfetg is not listed on IDEAS
    15. repec:hal:spmain:info:hdl:2441/38tbdqmgvf8f9amamb132hea9b is not listed on IDEAS
    16. repec:hal:spmain:info:hdl:2441/3tcpvf3sd399op9sgtn8tq5bhd is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shane Greenstein & Yuan Gu & Feng Zhu, 2016. "Ideological Segregation among Online Collaborators: Evidence from Wikipedians," Harvard Business School Working Papers 17-028, Harvard Business School, revised Mar 2017.
    2. Shane Greenstein & Feng Zhu, 2016. "Open Content, Linus’ Law, and Neutral Point of View," Information Systems Research, INFORMS, vol. 27(3), pages 618-635.
    3. Garz, Marcel & Sood, Gaurav & Stone, Daniel F. & Wallace, Justin, 2020. "The supply of media slant across outlets and demand for slant within outlets: Evidence from US presidential campaign news," European Journal of Political Economy, Elsevier, vol. 63(C).
    4. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    5. repec:tiu:tiucen:2013072 is not listed on IDEAS
    6. Sobbrio, Francesco, 2014. "Citizen-editors' endogenous information acquisition and news accuracy," Journal of Public Economics, Elsevier, vol. 113(C), pages 43-53.
    7. Ascensión Andina-Díaz & José A. García-Martínez & Antonio Parravano, 2019. "The market for scoops: a dynamic approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 175-206, June.
    8. Rambaccussing, Dooruj & Kwiatkowski, Andrzej, 2020. "Forecasting with news sentiment: Evidence with UK newspapers," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1501-1516.
    9. repec:dgr:kubcen:2013072 is not listed on IDEAS
    10. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    11. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    12. Redlicki, B., 2017. "Spreading Lies," Cambridge Working Papers in Economics 1747, Faculty of Economics, University of Cambridge.
    13. Giovanni Facchini & Anna Maria Mayda & Riccardo Puglisi, 2017. "Illegal immigration and media exposure: evidence on individual attitudes," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-36, December.
    14. Poy, Samuele & Schüller, Simone, 2016. "Internet and Voting in the Web 2.0 Era: Evidence from a Local Broadband Policy," IZA Discussion Papers 9991, Institute of Labor Economics (IZA).
    15. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    16. Guglielmo Barone & Francesco D'Acunto & Gaia Narciso, 2015. "Telecracy: Testing for Channels of Persuasion," American Economic Journal: Economic Policy, American Economic Association, vol. 7(2), pages 30-60, May.
    17. Larcinese, Valentino & Sircar, Indraneel, 2017. "Crime and punishment the British way: Accountability channels following the MPs’ expenses scandal," European Journal of Political Economy, Elsevier, vol. 47(C), pages 75-99.
    18. Fernanda Leite Lopez Leon, 2016. "Endorse or Not to Endorse: Understanding the Determinants of Newspapers’ Likelihood of Making Political Recommendations," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(4), pages 357-376, September.
    19. Puglisi Riccardo, 2011. "Being The New York Times: the Political Behaviour of a Newspaper," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-34, April.
    20. Protte, Benjamin, 2012. "Does Fleet Street shape politics? Estimating the Effect of Newspaper Coverage about Globalization on the Support for Unemployment Insurance," Working Papers 12-19, University of Mannheim, Department of Economics.
    21. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2016. "Understanding Booms and Busts in Housing Markets," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1088-1147.
    22. Cheng, Ing-Haw & Hsiaw, Alice, 2022. "Distrust in experts and the origins of disagreement," Journal of Economic Theory, Elsevier, vol. 200(C).

    More about this item

    JEL classification:

    • L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
    • L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:18167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.