Testing assumptions in deliberative democratic design: the participedia data archive as an analytic tool
2017
At smaller social scales, deliberative democratic theory can be restated
as an input-process-output model. We advance such a model to formulate
hypotheses about how the context and design of a civic engagement
process shape the deliberation that takes place therein, as well as the
impact of the deliberation on participants and subsequent policymaking.
To test those claims, we extract and code case studies from
Participedia.net, a research platform that has adopted a self-directed
crowd-sourcing strategy to collect data on participatory institutions
and deliberative interventions around the world. We explain and confront
the challenges faced in coding and analyzing the Participedia cases,
which involves managing reliability issues and missing data. In spite of
those difficulties, regression analysis of the coded cases shows
compelling results, which provide considerable support for our general
theoretical model. We conclude with reflections on the implications of
our findings for deliberative theory, the design of democratic
innovations, and the utility of Participedia as a data archive.
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