Ideology and Composition Among an Online Crowd: Evidence from Wikipedians

Published Online:https://doi.org/10.1287/mnsc.2020.3661

References

  • Afuah A, Tucci CL (2012) Crowdsourcing as a solution to distant search. Acad. Management Rev. 37(3):355–375.CrossrefGoogle Scholar
  • Antweiler W, Frank MZ (2004) Is all that talk just noise? The information content of Internet stock message boards. J. Finance 59(3):1259–1294.CrossrefGoogle Scholar
  • Arazy O, Nov O, Patterson R, Yeo L (2011) Information quality in Wikipedia: The effects of group composition and task conflict. J. Management Inform. Systems 21(4):71–98.CrossrefGoogle Scholar
  • Arazy O, Ortega F, Nov O, Yeo L, Balila A (2015) Functional roles and career paths in Wikipedia. CSCW'15 Conference Committee, ed. Proc. 18th ACM Conf. Comput. Supported Cooperative Work (ACM, New York), 1092–1105.Google Scholar
  • Bagozzi RP, Dholakia UM (2006) Open source software user communities: A study of participation in Linux user groups. Management Sci. 52(7):1099–1115.LinkGoogle Scholar
  • Bail CA, Argyle LP, Brown TW, Bumpus JP, Chen H, Hunzaker MF, Lee J, Mann M, Merhout F, Volfovsky A (2018) Exposure to opposing views on social media can increase political polarization. Proc. Natl. Acad. Sci. USA 115(37):9216–9221.CrossrefGoogle Scholar
  • Bakshy E, Messing S, Adamic LA (2015) Exposure to ideologically diverse news and opinion on Facebook. Science 348(6239):1130–1132.CrossrefGoogle Scholar
  • Bassamboo A, Cui R, Moreno A (2015) The wisdom of crowds in operations: Forecasting using prediction markets. Working paper, Northwestern University, Evanston, IL.Google Scholar
  • Benkler Y (2006) The Wealth of Networks: How Social Production Transforms Markets and Freedom (Yale University Press, New Haven, CT).Google Scholar
  • Boxell L, Gentzkow M, Shapiro JM (2017) Is the internet causing political polarization? Evidence from demographics. NBER Working Paper No. 23258, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Budak C, Goel S, Rao JM (2016) Fair and balanced? Quantifying media bias through crowdsourced content analysis. Public Opinion Quart. 80(S1):250–271.CrossrefGoogle Scholar
  • Burke M, Kraut R (2008) Mopping up: Modeling Wikipedia promotion decisions. CSCW'08 Conference Committee, ed. Proc. 2008 ACM Conf. Comput. Supported Cooperative Work (ACM, New York), 27–36.Google Scholar
  • Carr N (2008) The Big Switch: Rewiring the World, from Edison to Google (W. W. Norton & Company, New York).Google Scholar
  • Chen SS, Chuang YW, Chen PY (2012) Behavioral intention formation in knowledge sharing: Examining the roles of KMS quality, KMS self-efficacy, and organizational climate. Knowledge Based Systems 31(7):106–118.CrossrefGoogle Scholar
  • Chesbrough HW (2006) Open Innovation: The New Imperative for Creating and Profiting from Technology (Harvard Business Press, Boston).CrossrefGoogle Scholar
  • Chesney T (2006) An empirical examination of Wikipedia’s credibility. First Monday 11(11), https://doi.org/10.5210/fm.v11i11.1413.Google Scholar
  • Chiang CF, Knight B (2011) Media bias and influence: Evidence from newspaper endorsements. Rev. Econom. Stud. 78(3):795–820.CrossrefGoogle Scholar
  • Collier B, Burke M, Kittur N, Kraut R (2008) Retrospective vs. prospective evidence for promotion: The case of Wikipedia. Paper presented at the 2008 Academy of Management Annual Meeting, August 8–13, Anaheim, CA.Google Scholar
  • DellaVigna S, Kaplan E (2007) The Fox News effect: Media bias and voting. Quart. J. Econom. 122(3):1187–1234.CrossrefGoogle Scholar
  • Draper NR, Smith H (1998) Applied Regression Analysis, 3rd ed. (John Wiley & Sons, Hoboken, NJ).CrossrefGoogle Scholar
  • Durante R, Knight B (2012) Partisan control, media bias, and viewer responses: Evidence from Berlusconi’s Italy. J. Eur. Econom. Assoc. 10(3):451–481.CrossrefGoogle Scholar
  • Fan M, Tan Y, Whinston AB (2005) Evaluation and design of online cooperative feedback mechanisms for reputation management. IEEE Trans. Knowledge Data Engrg. 17(2):244–254.CrossrefGoogle Scholar
  • Faraj S, Jarvenpaa SL, Majchrzak A (2011) Knowledge collaboration in online communities. Organ. Sci. 22(5):1224–1239.LinkGoogle Scholar
  • Forte A, Larco V, Bruckman A (2009) Decentralization in Wikipedia governance. J. Management Inform. Systems 26(1):49–72.CrossrefGoogle Scholar
  • Forte A, Kittur N, Larco V, Zhu H, Bruckman A, Kraut RE (2012) Coordination and beyond: Social functions of groups in open content production. CSCW'12 Conference Committee, ed. Proc. ACM 2012 Conf. Comput. Supported Cooperative Work (ACM, New York), 417–426.Google Scholar
  • Gallus J (2016) Fostering public good contributions with symbolic awards: A large-scale natural field experiment at Wikipedia. Management Sci. 63(12):3999–4015.LinkGoogle Scholar
  • Galton F (1907) Vox populi (the wisdom of crowds). Nature 75(7):450–451.CrossrefGoogle Scholar
  • Garimella K, De Francisci Morales G, Gionis A, Mathioudakis M (2018) Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship. WWW'18 Conference Committee, ed. Proc. 2018 World Wide Web Conf. (International World Wide Web Conferences Steering Committee, Geneva), 913–922.Google Scholar
  • Gentzkow M, Shapiro JM (2010) What drives media slant? Evidence from U.S. daily newspapers. Econometrica 78(1):35–71.CrossrefGoogle Scholar
  • Gentzkow M, Shapiro JM (2011) Ideological segregation online and offline. Quart. J. Econom. 126(4):1799–1839.CrossrefGoogle Scholar
  • Gilbert E, Bergstrom T, Karahalios K (2009) Blogs are echo chambers: Blogs are echo chambers. HICSS'09 Conference Committee, ed. 42nd Hawaii Internat. Conf. System Sci. (IEEE, Piscataway, NJ), 1–10.Google Scholar
  • Giles J (2005) Internet encyclopaedias go head to head. Nature 438(12):900–901.CrossrefGoogle Scholar
  • Greenstein S, Zhu F (2012) Is Wikipedia biased? Amer. Econom. Rev. 102(3):343–348.CrossrefGoogle Scholar
  • Greenstein S, Zhu F (2016) Open content, Linus’ law, and neutral point of view. Inform. Systems Res. 27(3):618–635.LinkGoogle Scholar
  • Greenstein S, Zhu F (2018) Do experts or collective intelligence write with more bias? Evidence from Encyclopædia Britannica and Wikipedia. MIS Quart. 42(3):945–959.CrossrefGoogle Scholar
  • Halfaker A, Kittur A, Riedl J (2011) Don't bite the newbies: How reverts affect the quantity and quality of Wikipedia work. WikiSym'11 Conference Committee, ed. Proc. 7th Internat. Sympos. Wikis Open Collaboration (Association for Computing Machinery, New York), 163–172.Google Scholar
  • Hargadon AB, Bechky BA (2006) When collections of creatives become creative collectives: A field study of problem solving at work. Organ. Sci. 17(4):484–500.LinkGoogle Scholar
  • Hill M (2017) Almost Wikipedia: Eight early encyclopedia projects and the mechanisms of collective action. Working paper, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Jelveh Z, Kogut B, Naidu S (2014) Political language in economics. Columbia Business School Research Paper No. 14-57, Columbia University, New York.Google Scholar
  • Jemielniak D (2014) Common Knowledge?: An Ethnography of Wikipedia (Stanford University Press, Palo Alto, CA).Google Scholar
  • Jeppesen LB, Frederiksen L (2006) Why do users contribute to firm-hosted user communities? The case of computer-controlled music instruments. Organ. Sci. 17(1):45–63.LinkGoogle Scholar
  • Kane GC, Fichman RG (2009) The shoemaker’s children: Using wikis for information systems teaching, research, and publication. M IS Quart. 33(1):1–17.CrossrefGoogle Scholar
  • Kane GC, Johnson J, Majchrzak A (2014) Emergent life cycle: The tension between knowledge change and knowledge retention in open online coproduction communities. Management Sci. 60(12):3026–3048.LinkGoogle Scholar
  • Kittur A, Kraut R (2008) Harnessing the wisdom of crowds in Wikipedia: Quality through coordination. CSCW'08 Conference Committee, ed. ACM Conf. Comput. Supported Cooperative Work (ACM, New York), 37–46.Google Scholar
  • Kittur A, Suh B, Pendleton BA, Chi EH (2007a) He says, she says: Conflict and coordination in Wikipedia. CHI '07 Conference Committee, ed. Proc. SIGCHI Conf. Human Factors Comput. Systems (ACM, New York), 453–462.Google Scholar
  • Kittur A, Chi E, Pendleton BA, Suh B, Mytkowicz T (2007b) Power of the few vs. wisdom of the crowd: Wikipedia and the rise of the bourgeoisie. World Wide Web 1(2):1–9.Google Scholar
  • Kogut B, Metiu A (2000) The emergence of e-innovation: Insights from open source software development. Reginald H. Jones Center working paper, Wharton School, University of Pennsylvania, Philadelphia.Google Scholar
  • Kogut B, Metiu A (2001) Open‐source software development and distributed innovation. Oxford Rev. Econom. Policy 17(2):248–264.CrossrefGoogle Scholar
  • Kogut B, Zander U (1992) Knowledge of the firm, combinative capabilities, and the replication of technology. Organ. Sci. 3(3):383–397.LinkGoogle Scholar
  • Kuk G (2006) Strategic interaction and knowledge sharing in the KDE developer mailing list. Management Sci. 52(7):1031–1042.LinkGoogle Scholar
  • Lawrence E, Sides J, Farrell H (2010) Self-segregation or deliberation?: Blog readership, participation, and polarization in American politics. Perspect. Politics 8(1):141–157.CrossrefGoogle Scholar
  • Lee GK, Cole RE (2003) From a firm-based to a community-based model of knowledge creation: The case of the Linux kernel development. Organ. Sci. 14(6):633–649.LinkGoogle Scholar
  • Lee Y-J, Hosanagar K, Tan Y (2015) Do I follow my friends or the crowd? Information cascades in online movie ratings. Management Sci. 61(9):2241–2258.LinkGoogle Scholar
  • Lemos R (2004) Security research suggests Linux has fewer flaws. CNET News (December 13), http://news.cnet.com/Security-research-suggests-Linux-has-fewer-flaws/2100-1002_3-5489804.html.Google Scholar
  • Lerner J, Tirole J (2002) Some simple economics of open source. J. Indust. Econom. 50(2):197–234.CrossrefGoogle Scholar
  • Majchrzak A (2009) Where is the theory in wikis? MIS Quart. 33(1):18–20.CrossrefGoogle Scholar
  • McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: Homophily in social networks. Annual Rev. Sociol. 27(1):415–444.CrossrefGoogle Scholar
  • Mollick E, Nanda R (2015) Wisdom or madness? Comparing crowds with expert evaluation in funding the arts. Management Sci. 62(6):1533–1553.LinkGoogle Scholar
  • Moon JY, Sproull LS (2008) The role of feedback in managing the internet-based volunteer work force. Inform. Systems Res. 19(4):494–515.LinkGoogle Scholar
  • Muchnik L, Aral S, Taylor SJ (2013) Social influence bias: A randomized experiment. Science 341(6146):647–651.CrossrefGoogle Scholar
  • Nagaraj A (2017) Does copyright affect reuse? Evidence from Google Books and Wikipedia. Management Sci. 64(7):3091–3107.LinkGoogle Scholar
  • Nagle F (2018) Learning by contributing: Gaining competitive advantage through contribution to crowdsourced public goods. Organ. Sci. 29(4):569–587.LinkGoogle Scholar
  • Nambisan S, Baron RA (2010) Different roles, different strokes: Organizing virtual customer environments to promote two types of customer contributions. Organ. Sci. 21(2):554–572.LinkGoogle Scholar
  • Nyhan B, Reifler J (2010) When corrections fail: The persistence of political misperceptions. Political Behav. 32(2):303–330.CrossrefGoogle Scholar
  • Park J, Konana P, Gu B, Kumar A, Raghunathan R (2013) Information valuation and confirmation bias in virtual communities: Evidence from stock message boards. Inform. Systems Res. 24(4):1050–1067.LinkGoogle Scholar
  • Pierce L (2012) Organizational structure and the limits of knowledge sharing: Incentive conflict and agency in car leasing. Management Sci. 58(6):1106–1121.LinkGoogle Scholar
  • Piskorski MJ, Gorbatâi A (2017) Testing Coleman’s social-norm enforcement mechanism: Evidence from Wikipedia. Amer. J. Sociol. 122(4):1183–1222.CrossrefGoogle Scholar
  • Prelec D, Seung HS, McCoy J (2017) A solution to the single-question crowd wisdom problem. Nature 541(7638):532–535.CrossrefGoogle Scholar
  • Purdy W (2015) Radicalization: Social media and the rise of terrorism. Testimony Before the House Committee on Oversight and Government Reform’s Subcommittee on National Security, October 28, 114th Cong., 1st sess., Washington, DC. https://oversight.house.gov/wp-content/uploads/2015/10/10-28-2015-Natl-Security-Subcommittee-Hearing-on-Radicalization-Purdy-TRC-Testimony.pdf.Google Scholar
  • Qiu L, Kumar S (2017) Understanding voluntary knowledge provision and content contribution through a social-media-based prediction market: A field experiment. Inform. Systems Res. 28(3):529–546.LinkGoogle Scholar
  • Quattrociocchi W, Scala A, Sunstein CR (2016) Echo chambers on Facebook. Working paper, Ca' Foscari University of Venice, Venice, Italy.Google Scholar
  • Rajagopalan MS, Khanna VK, Leiter Y, Stott M, Showalter TN, Dicker AP, Lawrence YR (2011) Patient-oriented cancer information on the internet: A comparison of Wikipedia and a professionally maintained database. J. Oncol. Practice 7(5):319–323.CrossrefGoogle Scholar
  • Ramasubbu N, Balan RK (2012) Overcoming the challenges in cost estimation for distributed software projects. ASE'19 Conference Committee, ed. Proc. 34th Internat. Conf. Software Engrg. (IEEE, Piscataway, NJ), 91–101.Google Scholar
  • Ransbotham S, Kane GC (2011) Membership turnover and collaboration success in online communities: Explaining rises and falls from grace in Wikipedia. MIS Quart. 35(3):613–627.CrossrefGoogle Scholar
  • Ransbotham S, Kane GC, Lurie NH (2012) Network characteristics and the value of collaborative user-generated content. Marketing Sci. 31(3):387–405.LinkGoogle Scholar
  • Rector LH (2008) Comparison of Wikipedia and other encyclopedias for accuracy, breadth, and depth in historical articles. Reference Services Rev. 36(1):7–22.CrossrefGoogle Scholar
  • Roberts JA, Hann IH, Slaughter SA (2006) Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the Apache projects. Management Sci. 52(7):984–999.LinkGoogle Scholar
  • Rothaermel FT, Sugiyama S (2001) Virtual internet communities and commercial success: Individual and community-level theory grounded in the atypical case of TimeZone.com. J. Management 27(3):297–312.CrossrefGoogle Scholar
  • Schroeder A, Wagner C (2012) Governance of open content creation: A conceptualization and analysis of control and guiding mechanisms in the open content domain. J. Amer. Soc. Inform. Sci. Tech. 63(10):1947–1959.CrossrefGoogle Scholar
  • Shankland S (2003) Study lauds open-source code quality. CNET News (February 19), http://news.cnet.com/Study-laudsopen-source-code-quality/2100-1001_3-985221.html.Google Scholar
  • Shore J, Baek J, Dellarocas C (2018) Network structure and patterns of information diversity on Twitter. MIS Quart. 42(3):849–872.Google Scholar
  • Stone DF (2011) Ideological media bias. J. Econom. Behav. Organ. 78(3):256–271.CrossrefGoogle Scholar
  • Stvilia B, Twidale MB, Smith LC, Gasser L (2008) Information quality work organization in Wikipedia. J. Amer. Soc. Inform. Sci. Tech. 59(6):983–1001.CrossrefGoogle Scholar
  • Sun T, Viswanathan S, Zheleva E (2020) Creating social contagion through firm mediated message design: Evidence from a randomized field experiment. Management Sci. Forthcoming.Google Scholar
  • Sunstein CR (2001) Echo Chambers: Bush v. Gore, Impeachment, and Beyond (Princeton University Press, Princeton, NJ).Google Scholar
  • Surowiecki J (2004) The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business Economies, Societies and Nations (Random House, New York).Google Scholar
  • Te’eni D (2009) The Wiki way in a hurry—The ICIS anecdote. MIS Quart. 33(1):20–22.CrossrefGoogle Scholar
  • Tucci CL, Villarroel JA (2007) Open Source Corporate Strategy (OSCS): Reaching outside the firm’s boundaries to tap upon global talent. Presentation, Academy of Management Annual Meeting, August 6, Philadelphia, PA.Google Scholar
  • Van Alstyne M, Brynjolfsson E (2005) Global village or cyber-Balkans? Modeling and measuring the integration of electronic communities. Management Sci. 51(6):851–868.LinkGoogle Scholar
  • von Krogh G, von Hippel E (2006) The promise of research on open source software. Management Sci. 52(7):975–983.LinkGoogle Scholar
  • Wang Y, Goes P, Wei Z, Zeng DD (2019) Production of online word-of-mouth: Peer effects and the moderation of user characteristics. Production Oper. Management 28(7):1621–1640.Google Scholar
  • Wasko MM, Faraj S (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quart. 29(1):35–57.CrossrefGoogle Scholar
  • Wood T, Porter E (2019) The elusive backfire effect: Mass attitudes’ steadfast factual adherence. Political Behav. 41(1):135–163.CrossrefGoogle Scholar
  • Xu SX, Zhang XM (2009) How do social media shape the information environment in the financial market? ICIS'09 Conference Committee, ed. 30th Internat. Conf. Inform. Systems (ICIS 2009) Proc., Vol. 3 (Curran Associates, Red Hook, NY), 1444–1459.Google Scholar
  • Xu SX, Zhang XM (2013) Impact of Wikipedia on market information environment: Evidence on management disclosure and investor reaction. MIS Quart. 37(4):1043–1068.CrossrefGoogle Scholar
  • Xu L, Niculescu MF, Wu DJ (2018) When to use the open business model for software products under network effects? Inform. Systems Res. 29(2):498–519.Google Scholar
  • Yang Y, Chen P-Y, Pavlou P (2009) Open innovation: An empirical study of online contests. ICIS'09 Conference Committee, ed. Proc. 30th Internat. Conf. Inform. Systems (ICIS 2009), Vol. 4 (Curran Associates, Red Hook, NY), 2659–2673.Google Scholar
  • Zhang XM, Zhu F (2011) Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. Amer. Econom. Rev. 101(4):1601–1615.CrossrefGoogle Scholar
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