deliberative democracy and the pinet project
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Deliberative Democracy and the PINet Project. John Gastil Dept. of Comm. Arts & Sciences The Pennsylvania State University February 24, 2013. Articles on Deliberative Democracy. 1995. 2005. - PowerPoint PPT PresentationTRANSCRIPT
Deliberative Democracy and the PINet Project
JOHN GASTILDEPT. OF COMM. ARTS & SCIENCESTHE PENNSYLVANIA STATE UNIVERSITY
FEBRUARY 24, 2013
Articles on Deliberative Democracy
Number of peer-reviewed articles with search terms in record fields. Terms = (Deliberation OR Deliberative) AND (Civic OR Citizen OR Political OR Public OR Democracy OR Democratic). Full-text article search yields roughly 10x as many hits.
1990 2000 20100
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3 8 13 1323 20 28 36 37
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112136
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290 297318
341 344
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Year of Publication
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20051995
Elements of Democratic DeliberationCriteria for Evaluating Deliberation
Analytic rigor of panels Learning basic issue information Examination of underlying values Consider range of alternatives Weighing pros/cons of measureDemocratic discussion process Equality of opportunity to participate Comprehension of information Consideration of different views Mutual respect among citizensWriting/voting on Statement Informed decision making Non-coercive process
Research problems or agendas in deliberative democratic theory
• How can we assess:– the degree to which government agencies (and executive
branches generally) deliberate democratically?– legislative deliberation, both on the floor and in
committees?– the degree to which publics are included in the wider
governance process?– the deliberative quality of public discourse more generally
on a range of issues (and across nations)?
A sampling of analytic methodsused in delib. dem. research
• Discourse Quality Index (justifications, etc.)• Coding for analytic rigor (deliberation) and
democratic social relations• Argument repertoire/diversity• Message homogeneity (talking points)• Holistic codings of process quality
PInet research competition ideas
• Solicitation for developing an analytic method that lends itself to automatic coding, yet can withstand a validation test against more careful human coding approaches
• Competition announced through two main associations/networks: Natl. Comm. Assn. and the Intl. Comm. Assn.
Questions and Concerns
• The most feasible and reliable approaches to automatic coding may lack validity.
• The most valid content analytic approaches may not be feasible.
• Can we assemble a research team that can sustain the long-term investment of time and resources required to overcome the validity/feasibility problem?