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Motivating Participation in Crowdsourced Policymaking: The Interplay of Epistemic and Interactive Aspects

Published:06 December 2017Publication History
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Abstract

In this paper, we examine the changes in motivation factors in crowdsourced policymaking. By drawing on longitudinal data from a crowdsourced law reform, we show that people participated because they wanted to improve the law, learn, and solve problems. When crowdsourcing reached a saturation point, the motivation factors weakened and the crowd disengaged. Learning was the only factor that did not weaken. The participants learned while interacting with others, and the more actively the participants commented, the more likely they stayed engaged. Crowdsourced policymaking should thus be designed to support both epistemic and interactive aspects. While the crowd's motives were rooted in self-interest, their knowledge perspective showed common-good orientation, implying that rather than being dichotomous, motivation factors move on a continuum. The design of crowdsourced policymaking should support the dynamic nature of the process and the motivation factors driving it.

References

  1. Tanja Aitamurto. 2015. Motivation Factors in Crowdsourced Journalism: Social Impact, Social Change, and Peer Learning. International Journal of Communication 9 (2015), 3523--3543.Google ScholarGoogle Scholar
  2. Tanja Aitamurto, Kaiping Chen, Ahmed Cherif, Jorge Saldivar, and Luis Santana. 2016. Civic Crowd Analytics: Making Sense of Crowdsourced Civic Input with Big Data Tools. In Proc. Academic MindTrek 2016 (2016), 86--94. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Tanja Aitamurto and Hélène Landemore. 2015. Five Design Principles for Crowdsourced Policymaking: Assessing the Case of Crowdsourced Of-road Traffic Law in Finland. Journal of Social Media for Organizations 2, 1 (2015), 1--19.Google ScholarGoogle Scholar
  4. Tanja Aitamurto and Hélène Landemore. 2016. Crowdsourced Deliberation: The Case of the Law on Off-Road Traffic in Finland. Policy & Internet 8, 2 (2016), 174--196.Google ScholarGoogle Scholar
  5. Tanja Aitamurto, Hélène Landemore, and Jorge Saldivar Galli. 2016. Unmasking the Crowd: Participants' Motivation Factors, Expectations, and Proile in a Crowdsourced Law Reform. Information, Communication & Society 20, 8 (2016), 1239--1260.Google ScholarGoogle ScholarCross RefCross Ref
  6. Tanja Aitamurto and Jorge Saldivar. 2017. Examining the Quality of Crowdsourced Deliberation: Respect, Reciprocity and Lack of Common-Good Orientation. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (2017), 2314--2321. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Steffen Albrecht. 2006. Whose voice is heard in online deliberation?: A study of participation and representation in political debates on the internet. Information, Communication & Society 9, 1 (2006), 68--82.Google ScholarGoogle ScholarCross RefCross Ref
  8. John Aldrich. 1993. Rational Choice and Turnout. American Journal of Political Science 37, 1 (1993), 246--278.Google ScholarGoogle ScholarCross RefCross Ref
  9. Judd Antin. 2011. My Kind of People?: Perceptions about Wikipedia Contributors and their Motivations. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 3411--3420. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Judd Antin and Aaron Shaw. 2012. Social Desirability Bias and Self-reports of Motivation: a Study of Amazon Mechanical Turk in the US and India. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2925--2934. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Young Min Baek, Magdalena Wojcieszak, and Michael Delli Carpini. 2012. Online versus face-to-face deliberation:Who? Why? What? With what effects? New Media & Society 14, 3 (2012), 363--383.Google ScholarGoogle ScholarCross RefCross Ref
  12. Yochai Benkler. 2002. Coase's Penguin, or, Linux and The Nature of the Firm. Yale Law Journal (2002), 369--446.Google ScholarGoogle Scholar
  13. André Blais and Robert Young. 1999. Why Do People vote? An Experiment in Rationality. Public Choice 99, 1-2 (1999), 39--55.Google ScholarGoogle ScholarCross RefCross Ref
  14. Niall Bolger and Jean-Philippe Laurenceau. 2013. Intensive longitudinal methods: An introduction to diary and experience sampling research. New York: Guilford Press.Google ScholarGoogle Scholar
  15. Daren C Brabham. 2008. Crowdsourcing as a Model for Problem Solving: an Introduction and Cases. Convergence: the International Journal of Research Into New Media Technologies 14, 1 (2008), 75--90.Google ScholarGoogle Scholar
  16. Daren C Brabham. 2008. Moving the crowd at iStockphoto: The composition of the crowd and motivations for participation in a crowdsourcing application. First monday 13, 6 (2008).Google ScholarGoogle Scholar
  17. Daren C Brabham. 2010. Moving the Crowd at Threadless: Motivations for Participation in a Crowdsourcing Application. Information, Communication & Society 13, 8 (2010), 1122--45.Google ScholarGoogle ScholarCross RefCross Ref
  18. Daren C Brabham. 2012. Motivations for participation in a crowdsourcing application to improve public engagement in transit planning. Journal of Applied Communication Research 40, 3 (2012), 307--328.Google ScholarGoogle ScholarCross RefCross Ref
  19. Daren C Brabham. 2013. Crowdsourcing. MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Daren C Brabham. 2015. Crowdsourcing in the public sector. Georgetown University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Yannis Charalabidis, Anna Triantaillou, Vangelis Karkaletsis, and Euripidis Louki. 2012. Public policy formulation through non-moderated crowdsourcing in social media. International Conference on Electronic Participation (2012), 156--169.Google ScholarGoogle ScholarCross RefCross Ref
  22. Stephen Coleman, F Fischer, and H Gottweis. 2012. The Internet as a space for policy deliberation. Duke University Press. 149--179 pages.Google ScholarGoogle Scholar
  23. David Constant, Sara Kiesler, and Lee Sproull. 1994. What's mine is ours, or is it? A study of attitudes about information sharing. Information Systems Research 5, 4 (1994), 400--422. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Thomas Davenport and Laurence Prusak. 1998. Working Knowledge: How Organizations Manage What They Know. Harvard Business Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Edward L. Deci and Richard M. Ryan. 1986. Intrinsic Motivation and Self-determination in Human Behavior. Plenum.Google ScholarGoogle Scholar
  26. Anthony Downs. 1957. An Economic Theory of Political Action in a Democracy. Journal of Political Economy 65, 2 (1957), 135--150.Google ScholarGoogle ScholarCross RefCross Ref
  27. John Dryzek and Simon Niemeyer. 2008. Discursive Representation. American Political Science Review 102, 04 (2008), 481--493.Google ScholarGoogle ScholarCross RefCross Ref
  28. Meredith Edwards, Cosmo Howard, and Robin Miller. 2001. Social policy, public policy: from problems to practice. Allen & Unwin.Google ScholarGoogle Scholar
  29. Cristiano Ferri Soares de Faria. 2013. The Open Parliament in the Age of the Internet: Can the People now Collaborate with Legislatures in Lawmaking? (2013).Google ScholarGoogle Scholar
  30. Michael P Fay and Michael A Proschan. 2010. Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Statistics surveys 4 (2010), 1.Google ScholarGoogle Scholar
  31. James Fishkin. 2011. When the People Speak: Deliberative Democracy and Public Consultation. Oxford University Press.Google ScholarGoogle Scholar
  32. Milton Friedman. 1937. The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American statistical association 32, 200 (1937), 675--701.Google ScholarGoogle Scholar
  33. Archon Fung. 2006. Varieties of participation in complex governance. Public administration review 66, s1 (2006), 66--75.Google ScholarGoogle Scholar
  34. Robert Goodin and John Dryzek. 1980. Rational Participation: The Politics of Relative Power. British Journal of Political Science 10, 03 (1980), 273--292.Google ScholarGoogle ScholarCross RefCross Ref
  35. Todd Graham and Scott Wright. 2014. Discursive equality and everyday talk online: The impact of 'superparticipants'. Journal of Computer-Mediated Communication 19, 3 (2014), 625--642. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Per Gustafson and Nils Hertting. 2016. Understanding Participatory Governance An Analysis of Participants' Motives for Participation. The American Review of Public Administration (2016), 1--17.Google ScholarGoogle Scholar
  37. Werner Güth and Hannelore Weck-Hannemann. 1997. Do people care about democracy? An experiment exploring the value of voting rights. Public Choice 91, 1 (1997), 27--47.Google ScholarGoogle ScholarCross RefCross Ref
  38. Morten Hansen, Nitin Nohria, and Thomas Tierney. 1999. What's your strategy for managing knowledge? Harvard Business Review 77, 2 (1999), 106--116.Google ScholarGoogle Scholar
  39. Alexander Hars and Shaosong Ou. 2001. Working for Free? Motivations of Participating in Open Source Projects. In System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on. IEEE, 9--pp. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Joseph M Hilbe. 2011. Logistic regression. In International Encyclopedia of Statistical Science. Springer, 755--758.Google ScholarGoogle Scholar
  41. William Hill, Hollan James, Dave Wroblewski, and Tim McCandless. 2010. Edit wear and read wear. In Proceedings of the SIGCHI Conference on Human Factors in Computing System. ACM, 1122--45. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Sunshine Hillygus. 2005. The Missing Link: Exploring the Relationship Between Higher Education and Political Engagement. Political Behavior 27, 1 (2005), 25--47.Google ScholarGoogle ScholarCross RefCross Ref
  43. Simo Hosio, Goncalves Jorge, Vassilis Kostakos, and Jukka Riekki. 2015. Crowdsourcing Public Opinion Using Urban Pervasive Technologies: Lessons From Real-Life Experiments in Oulu. Policy & Internet 7, 2 (2015), 203--222.Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Jeff Howe. 2008. Crowdsourcing: How the Power of the Crowd is Driving the Future of Business. Random House. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Michael Howlett, Michael Ramesh, and Anthony Perl. 1995. Studying Public Policy: Policy Cycles and Policy Subsystems. Cambridge Univ Press.Google ScholarGoogle Scholar
  46. Shih-Wen Huang, Minhyang Suh, Benjamin Mako Hill, and Hsieh Gary. 2015. How activists are both born and made: An analysis of users on Change.org. In Proc. CHI 2015 (2015), 211--220. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Marijin Janssen, Yannis Charalabidis, and Anneke Zuiderwijk. 2017. Benefits, Adoption Barriers and Myths of Open Data and Open Government. Information Systems Management 29, 4 (2017), 258--268.Google ScholarGoogle ScholarCross RefCross Ref
  48. Sirkka Jarvenpaa and Dandy Staples. 2000. The Use of Collaborative Electronic Media for Information Sharing: An Exploratory Study of Determinants. Journal of Strategic Information Systems 9, 2 (2000), 129--154.Google ScholarGoogle ScholarCross RefCross Ref
  49. Aniket Kittur, Ed H Chi, and Bongwon Suh. 2008. Crowdsourcing User studies with Mechanical Turk. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 453--456. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Travis Kriplean, Jonathan Morgan, Deen Freelon, Alan Borning, and Lance Bennett. 2012. Supporting Reflective Public Thought with Consider.it. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. ACM, 265--274. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Travis Kriplean, Michael Toomim, Jonathan Morgan, Alan Borning, and Andrew Ko. 2012. Is this what you meant?: promoting listening on the web with Reflect. In Proc. CHI'12 (2012), 1559--1568. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. William H Kruskal and W Allen Wallis. 1952. Use of ranks in one-criterion variance analysis. Journal of the American statistical Association 47, 260 (1952), 583--621.Google ScholarGoogle ScholarCross RefCross Ref
  53. Karim Lakhani and Robert Wolf. 2003. Why Hackers Do What They Do: Understanding Motivation and Effort in Free/Open Source Software Projects. 4425-03 (2003).Google ScholarGoogle Scholar
  54. Karim R Lakhani, Lars Bo Jeppesen, Peter Andreas Lohse, and Jill A Panetta. 2007. The value of openness in scientific problem solving. Working Paper. Division of Research, Harvard Business School.Google ScholarGoogle Scholar
  55. Hélène Landemore. 2014. Inclusive Constitution-Making: The Icelandic Experiment. Journal of Political Philosophy 23, 2 (2014), 166--191.Google ScholarGoogle ScholarCross RefCross Ref
  56. Hélène Landemore. 2017. Inclusive Constitution Making and Religious Rights: Lessons from the Icelandic Experiment. The Journal of Politics 79, 3 (2017).Google ScholarGoogle ScholarCross RefCross Ref
  57. Tak Lee, Casey Dugan, Werner Geyer, Tristan Ratchford, Jamie Rasmussen, Sadat Shami, and Stela Lupushor. 2013. Experiments on Motivational Feedback for Crowdsourced Workers. International AAAI Conference on Web and Social Media (2013).Google ScholarGoogle Scholar
  58. Jan Marco Leimeister, Michael Huber, Ulrich Bretschneider, and Helmut Krcmar. 2009. Leveraging Crowdsourcing: Activation-supporting Components for IT-based Ideas Competition. Journal of Management Information Systems 26, 1 (2009), 197--224. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Katri Lietsala and Atte Joutsen. 2007. Hang-a-rounds and True Believers: A Case Analysis of the Roles and Motivational Factors of the Star Wreck Fans. In MindTrek 2007 Conference Proceedings. Tampere University of Technology, Tampere, Finland, 25--30.Google ScholarGoogle Scholar
  60. Siegwart Lindenberg. 2001. Intrinsic Motivation in a New Light. Kyklos 54, 2-3 (2001), 317--342.Google ScholarGoogle ScholarCross RefCross Ref
  61. Jane Mansbridge, James Bohman, Chambers, Christiano Thomas, Archon Fung, John Parkinson, Dennis F. Thompson, and Mark E. Warren. 2012. A systemic approach to deliberative democracy. Deliberative systems: Deliberative democracy at the large scale. Cambridge University Press. 1--26 pages.Google ScholarGoogle Scholar
  62. Matti Nelimarkka, Brandie Nonnecke, Sanjay Krishnan, Tanja Aitumurto, Daniel Catterson, Camille Crittenden, Chris Garland, Conrad Gregory, Ching-Chang Allen Huang, Gavin Newsom, et al. 2014. Comparing Three Online Civic Engagement Platforms using the Spectrum of Public Participation. In University of Oxford: Internet, Policy, and Politics Conference on Crowdsourcing for Politics and Policy (IPP2014).Google ScholarGoogle Scholar
  63. Oded Nov. 2007. What Motivates wikipedians? Commun. ACM 50, 11 (2007), 60--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  64. Oded Nov, Arazy Ofer, and David Anderson. 2011. Technology-Mediated Citizen Science Participation: A Motivational Model. In Proceedings of the AAAI International Conference on Weblogs and Social Media. ICWSM.Google ScholarGoogle Scholar
  65. Beth Simone Noveck. 2015. Smart Citizens, Smarter State: The Technologies of Expertise and the Future of Governing. Harvard University Press.Google ScholarGoogle Scholar
  66. Beth Simone Noveck. 2017. Five Hacks for Digital Democracy. Nature 544 (2017), 287--289.Google ScholarGoogle Scholar
  67. Thomas Palfrey and Howard Rosenthal. 1985. Voter Participation and Strategic Uncertainty. American Political Science Review 79, 1 (1985), 62--78.Google ScholarGoogle ScholarCross RefCross Ref
  68. Chul Park and Erik Johnston. 2017. A Framework for Analyzing Digital Volunteer Contributions in Emergent Crisis Response Efforts. New Media & Society (2017).Google ScholarGoogle ScholarCross RefCross Ref
  69. Carole Pateman. 2012. Participatory Democracy Revisited. Perspectives on Politics 10, 1 (2012), 7--19.Google ScholarGoogle ScholarCross RefCross Ref
  70. Jay Pedersen, David Kocsis, Abhishek Tripathi, Alvin Tarrell, Aruna Weerakoon, Nargess Tahmasbi, Jie Xiong, Wei Deng, Onook Oh, and Gert-Jan de Vreede. 2013. Conceptual Foundations of Crowdsourcing: A Review of IS Research. In System Sciences (HICSS), 2013 46th Hawaii International Conference on. IEEE, 579--588. Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Jordan Raddick, Georgia Bracey, Pamela Gay, Chris Lintott, Carie Cardamone, Phil Murray, Kevin Schawinski, Alexander Szalay, and Jan Vandenberg. 2013. Galaxy Zoo: Motivations of Citizen Scientists. arXiv preprint arXiv:1303.6886 (2013).Google ScholarGoogle Scholar
  72. Daniela Retelny, Sébastien Robaszkiewicz, Alexandra To, Walter S. Lasecki, Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa Valentine, and Michael Bernstein. 2014. Expert Crowdsourcing with Flash Teams. In In Proceedings of the 27th annual ACM symposium on User interface software and technology. ACM, 77--85. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Dana Rotman, Jenny Preece, Jen Hammock, Kezee Procita, Derek Hansen, Cynthia Parr, Darcy Lewis, and David Jacobs. 2012. Dynamic changes in motivation in collaborative citizen-science projects. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. ACM, 217--226. Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. Richard Ryan and Edward Deci. 2000. Intrinsic and Extrinsic Motivations: Classic Deinitions and New Directions. Contemporary Educational Psychology 25, 1 (2000), 54--67.Google ScholarGoogle ScholarCross RefCross Ref
  75. Jorge Saldivar, Marcos Báez, Carlos Rodriguez, Gregorio Convertino, and Grzegorz Kowalik. 2016. Idea Management in the Wild: An Exploratory Study of 166 Online Communities. In Proceedings of the 17th International CTS Conference. IEEE, 81--89.Google ScholarGoogle ScholarCross RefCross Ref
  76. Lynn M. Sanders. 1997. Against Deliberation. Political Theory 25, 3 (1997), 347--376.Google ScholarGoogle ScholarCross RefCross Ref
  77. Kay Schlozman. 2002. Citizen participation in America: What Do We Know? Why Do We Care? Norton & Company.Google ScholarGoogle Scholar
  78. Paolo Spada, Jonathan Mellon, Tiago Peixoto, and Fredrik M Sjoberg. 2016. Effects of the Internet on Participation: Study of a Public Policy Referendum in Brazil. Journal of Information Technology & Politics (2016).Google ScholarGoogle Scholar
  79. Anselm Strauss and Juliet Corbin. 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Sage Publications, Inc.Google ScholarGoogle Scholar
  80. Elizabeth Theiss-Morse and John R Hibbing. 2005. Citizenship and Civic Engagement. Annu. Rev. Polit. Sci. 8 (2005), 227--249.Google ScholarGoogle ScholarCross RefCross Ref
  81. Ioannis Tsampoulatidis, Dimitrios Ververidis, Panagiotis Tsarchopoulos, Spiros Nikolopoulos, Ioannis Kompatsiaris, and Nicos Komninos. 2013. ImproveMyCity: An open source platform for direct citizen-government communication. In Proc. of the 21st ACM International Conference on Multimedia (2013), 839--842. Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. Lynette Unger. 1991. Altruism as a Motivation to Volunteer. Journal of Economic Psychology 12, 1 (1991), 71--100.Google ScholarGoogle ScholarCross RefCross Ref
  83. Vaalitutkimuskeskus. 2015. Äänestysprosentit eduskuntavaaleissa @ONLINE. (March 2015). http://www.vaalitutkimus.fi/fi/aanestysaktiivisuus/aanestysprosentit_eduskuntavaaleissa.htmlGoogle ScholarGoogle Scholar
  84. Georg von Krogh. 1998. Care in Knowledge Creation. California Management Review 40, 3 (1998), 133--153.Google ScholarGoogle ScholarCross RefCross Ref
  85. Mark Warren. 2009. Governance-driven Democratization. Critical Policy Studies 3, 1 (2009), 3--13.Google ScholarGoogle ScholarCross RefCross Ref
  86. Molly Wasko and Samer Faraj. 2000. It Is What One Does: Why People Participate and Help Others in Electronic Communities of Practice. Journal of Strategic Information Systems 9, 2 (2000), 155--173.Google ScholarGoogle Scholar
  87. Frank Wilcoxon. 1945. Individual comparisons by ranking methods. Biometrics bulletin 1, 6 (1945), 80--83.Google ScholarGoogle Scholar
  88. Heng-Li Yang and Cheng-Yu Lai. 2010. Motivations of Wikipedia Content Contributors. Computers in Human Behavior 26, 6 (2010), 1377--1383. Google ScholarGoogle ScholarDigital LibraryDigital Library

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