1. Mapping deliberative systems with big data
- Author
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Núria Franco-Guillén, John Parkinson, Sebastian De Laile, RS: FASoS PCE, and Philosophy
- Subjects
Topic model ,Sociology and Political Science ,media_common.quotation_subject ,Big data ,independence ,ONLINE ,050801 communication & media studies ,topic modelling ,0508 media and communications ,Independence referendum ,big data ,Political science ,050602 political science & public administration ,media_common ,Law and economics ,DEMOCRATIZATION ,business.industry ,05 social sciences ,16. Peace & justice ,Deliberation ,Independence ,0506 political science ,Focus (linguistics) ,DISCOURSE ,Scotland ,deliberative systems ,business - Abstract
Deliberative systems theorists have for some time emphasised the distributed nature of deliberative values; they therefore do not focus exclusively on ‘deliberation’ but on all sorts of communication that advance deliberative democratic values, including everyday political talk in informal settings. However, such talk has been impossible to capture inductively at scale. This article discusses an electronic approach, Structural Topic Modelling, and applies it to a recent case: the Scottish independence debate of 2012–2014. The case provides the first empirical test of the claim that a deliberative system can capture the full ‘pool of perspectives’ on an issue, and shows that citizens can hold each other to deliberative standards even in mass, online discussion. It also shows that, in deliberative terms, the major cleavage in the ‘indyref’ debate was not so much between Yes and No, but between formal and informal venues.
- Published
- 2022
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