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A Framework for Policy Crowdsourcing

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  • Prpić, John

Abstract

What is the state of the literature in respect to Crowdsourcing for policy making? This work attempts to answer this question by collecting, categorizing, and situating the extant research investigating Crowdsourcing for policy, within the broader Crowdsourcing literature. To do so, the work first extends the Crowdsourcing literature by introducing, defining, explaining, and using seven universal characteristics of all general Crowdsourcing techniques, to vividly draw-out the relative trade-offs of each mode of Crowdsourcing. From this beginning, the work systematically and explicitly weds the three types of Crowdsourcing to the stages of the Policy cycle as a method of situating the extant literature spanning both domains. Thereafter, we discuss the trends, highlighting the research gaps, and outline the overlaps in the research on Crowdsourcing for policy, stemming from our analysis. Prpić, J., Taeihagh, A., & Melton, J. (2014). A Framework for Policy Crowdsourcing. Oxford Internet Institute, University of Oxford - IPP 2014 - Crowdsourcing for Politics and Policy.

Suggested Citation

  • Prpić, John, 2017. "A Framework for Policy Crowdsourcing," SocArXiv pmfdx, Center for Open Science.
    • Handle: RePEc:osf:socarx:pmfdx
    DOI: 10.31219/osf.io/pmfdx
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    References listed on IDEAS

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    1. Prpić, John & Shukla, Prashant P. & Kietzmann, Jan H. & McCarthy, Ian P., 2015. "How to work a crowd: Developing crowd capital through crowdsourcing," Business Horizons, Elsevier, vol. 58(1), pages 77-85.
    2. Ben Taieb, Souhaib & Hyndman, Rob J., 2014. "A gradient boosting approach to the Kaggle load forecasting competition," International Journal of Forecasting, Elsevier, vol. 30(2), pages 382-394.
    3. Ghafele, Roya & Gibert, Benjamin & DiGiammarino, Paul, 2011. "Crowdsourcing patent application review to capitalize on innovation," MPRA Paper 38330, University Library of Munich, Germany.
    4. Laurie A. Schintler & Rajendra Kulkarni, 2014. "Big Data for Policy Analysis: The Good, The Bad, and The Ugly," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 343-348, July.
    5. Ghafele, Roya & Gibert, Benjamin, 2011. "Crowdsourcing patent application review: leveraging new opportunities to capitalize on innovation?," MPRA Paper 38092, University Library of Munich, Germany.
    6. Triparna de Vreede & Cuong Nguyen & Gert-Jan de Vreede & Imed Boughzala & Onook Oh & Roni Reiter-Palmon, 2013. "A theoretical model of user engagement in crowdsourcing," Grenoble Ecole de Management (Post-Print) hal-01244682, HAL.
    7. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
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