research-article

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

Authors:

Tanja Aitamurto,

Jorge SaldivarAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 1, Issue CSCW

Article No.: 18, Pages 1 - 22

https://doi.org/10.1145/3134653

Published: 06 December 2017 Publication History

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.

[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.

Digital 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.

[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.

[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.

[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.

Digital 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.

[8]

John Aldrich. 1993. Rational Choice and Turnout. American Journal of Political Science 37, 1 (1993), 246--278.

[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.

Digital 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.

Digital 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.

[12]

Yochai Benkler. 2002. Coase's Penguin, or, Linux and The Nature of the Firm. Yale Law Journal (2002), 369--446.

[13]

André Blais and Robert Young. 1999. Why Do People vote? An Experiment in Rationality. Public Choice 99, 1-2 (1999), 39--55.

[14]

Niall Bolger and Jean-Philippe Laurenceau. 2013. Intensive longitudinal methods: An introduction to diary and experience sampling research. New York: Guilford Press.

[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.

[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).

[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.

[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.

[19]

Daren C Brabham. 2013. Crowdsourcing. MIT Press.

Digital Library

[20]

Daren C Brabham. 2015. Crowdsourcing in the public sector. Georgetown University Press.

Digital 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.

[22]

Stephen Coleman, F Fischer, and H Gottweis. 2012. The Internet as a space for policy deliberation. Duke University Press. 149--179 pages.

[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.

Digital Library

[24]

Thomas Davenport and Laurence Prusak. 1998. Working Knowledge: How Organizations Manage What They Know. Harvard Business Press.

Digital Library

[25]

Edward L. Deci and Richard M. Ryan. 1986. Intrinsic Motivation and Self-determination in Human Behavior. Plenum.

[26]

Anthony Downs. 1957. An Economic Theory of Political Action in a Democracy. Journal of Political Economy 65, 2 (1957), 135--150.

[27]

John Dryzek and Simon Niemeyer. 2008. Discursive Representation. American Political Science Review 102, 04 (2008), 481--493.

[28]

Meredith Edwards, Cosmo Howard, and Robin Miller. 2001. Social policy, public policy: from problems to practice. Allen & Unwin.

[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).

[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.

[31]

James Fishkin. 2011. When the People Speak: Deliberative Democracy and Public Consultation. Oxford University Press.

[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.

[33]

Archon Fung. 2006. Varieties of participation in complex governance. Public administration review 66, s1 (2006), 66--75.

[34]

Robert Goodin and John Dryzek. 1980. Rational Participation: The Politics of Relative Power. British Journal of Political Science 10, 03 (1980), 273--292.

[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.

Digital 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.

[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.

[38]

Morten Hansen, Nitin Nohria, and Thomas Tierney. 1999. What's your strategy for managing knowledge? Harvard Business Review 77, 2 (1999), 106--116.

[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.

Digital Library

[40]

Joseph M Hilbe. 2011. Logistic regression. In International Encyclopedia of Statistical Science. Springer, 755--758.

[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.

Digital Library

[42]

Sunshine Hillygus. 2005. The Missing Link: Exploring the Relationship Between Higher Education and Political Engagement. Political Behavior 27, 1 (2005), 25--47.

[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.

[44]

Jeff Howe. 2008. Crowdsourcing: How the Power of the Crowd is Driving the Future of Business. Random House.

Digital Library

[45]

Michael Howlett, Michael Ramesh, and Anthony Perl. 1995. Studying Public Policy: Policy Cycles and Policy Subsystems. Cambridge Univ Press.

[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.

Digital 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.

[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.

[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.

Digital 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.

Digital 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.

Digital 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.

[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).

[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.

[55]

Hélène Landemore. 2014. Inclusive Constitution-Making: The Icelandic Experiment. Journal of Political Philosophy 23, 2 (2014), 166--191.

[56]

Hélène Landemore. 2017. Inclusive Constitution Making and Religious Rights: Lessons from the Icelandic Experiment. The Journal of Politics 79, 3 (2017).

[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).

[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.

Digital 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.

[60]

Siegwart Lindenberg. 2001. Intrinsic Motivation in a New Light. Kyklos 54, 2-3 (2001), 317--342.

[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.

[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).

[63]

Oded Nov. 2007. What Motivates wikipedians? Commun. ACM 50, 11 (2007), 60--64.

Digital 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.

[65]

Beth Simone Noveck. 2015. Smart Citizens, Smarter State: The Technologies of Expertise and the Future of Governing. Harvard University Press.

[66]

Beth Simone Noveck. 2017. Five Hacks for Digital Democracy. Nature 544 (2017), 287--289.

[67]

Thomas Palfrey and Howard Rosenthal. 1985. Voter Participation and Strategic Uncertainty. American Political Science Review 79, 1 (1985), 62--78.

[68]

Chul Park and Erik Johnston. 2017. A Framework for Analyzing Digital Volunteer Contributions in Emergent Crisis Response Efforts. New Media & Society (2017).

[69]

Carole Pateman. 2012. Participatory Democracy Revisited. Perspectives on Politics 10, 1 (2012), 7--19.

[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.

Digital 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).

[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.

Digital 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.

Digital 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.

[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.

[76]

Lynn M. Sanders. 1997. Against Deliberation. Political Theory 25, 3 (1997), 347--376.

[77]

Kay Schlozman. 2002. Citizen participation in America: What Do We Know? Why Do We Care? Norton & Company.

[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).

[79]

Anselm Strauss and Juliet Corbin. 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Sage Publications, Inc.

[80]

Elizabeth Theiss-Morse and John R Hibbing. 2005. Citizenship and Civic Engagement. Annu. Rev. Polit. Sci. 8 (2005), 227--249.

[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.

Digital Library

[82]

Lynette Unger. 1991. Altruism as a Motivation to Volunteer. Journal of Economic Psychology 12, 1 (1991), 71--100.

[83]

Vaalitutkimuskeskus. 2015. Äänestysprosentit eduskuntavaaleissa @ONLINE. (March 2015). http://www.vaalitutkimus.fi/fi/aanestysaktiivisuus/aanestysprosentit_eduskuntavaaleissa.html

[84]

Georg von Krogh. 1998. Care in Knowledge Creation. California Management Review 40, 3 (1998), 133--153.

[85]

Mark Warren. 2009. Governance-driven Democratization. Critical Policy Studies 3, 1 (2009), 3--13.

[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.

[87]

Frank Wilcoxon. 1945. Individual comparisons by ranking methods. Biometrics bulletin 1, 6 (1945), 80--83.

[88]

Heng-Li Yang and Cheng-Yu Lai. 2010. Motivations of Wikipedia Content Contributors. Computers in Human Behavior 26, 6 (2010), 1377--1383.

Digital Library

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 1, Issue CSCW

November 2017

2095 pages

EISSN:2573-0142

DOI:10.1145/3171581

Editors:
Clifford Lampe
University of Michigan
,
Jeff Nichols
Google
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Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
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Andres Monroy-Hernandez
Snap Inc.
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Wolfgang Stuerzlinger
Simon Fraser University

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Published: 06 December 2017

Published in PACMHCI Volume 1, Issue CSCW

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Palacin VMcDonald SAragón PNelimarkka M(2024)Configurations of Digital Participatory BudgetingACM Transactions on Computer-Human Interaction10.1145/363514431:2(1-28)Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1145/3635144
Lee DKim YLee J(2024)Do monetary or nonmonetary incentives promote citizens' use of a government crowdsourcing: A case of the City of Omaha's 311‐type of crowdsourcing platformPublic Administration10.1111/padm.12985102:4(1492-1512)Online publication date: 25-Feb-2024
https://doi.org/10.1111/padm.12985
Vargas-Murillo ADe La Asuncion Pari-Bedoya IDelgado-Chávez CMenacho Taipe EReyes Cuba CPolo Chavarri L(2024)The Role of ICT in Collaborative Creation of Public Policies: Crowdsourcing Policymaking2024 International Conference on Inventive Computation Technologies (ICICT)10.1109/ICICT60155.2024.10544427(1704-1708)Online publication date: 24-Apr-2024
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