Assessment of Online Deliberative Quality: New Indicators Using Network Analysis and Time-Series Analysis

Bokyong Shin and Mikko Rask
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Bokyong Shin: Faculty of Social Sciences, University of Helsinki, 00014 Helsinki, Finland
Mikko Rask: Consumer Society Research Centre, Faculty of Social Sciences & Helsinki Institute for Sustainability Science, University of Helsinki, 00014 Helsinki, Finland

Sustainability, 2021, vol. 13, issue 3, 1-21

Abstract: Online deliberation research has recently developed automated indicators to assess the deliberative quality of much user-generated online data. While most previous studies have developed indicators based on content analysis and network analysis, time-series data and associated methods have been studied less thoroughly. This article contributes to the literature by proposing indicators based on a combination of network analysis and time-series analysis, arguing that it will help monitor how online deliberation evolves. Based on Habermasian deliberative criteria, we develop six throughput indicators and demonstrate their applications in the OmaStadi participatory budgeting project in Helsinki, Finland. The study results show that these indicators consist of intuitive figures and visualizations that will facilitate collective intelligence on ongoing processes and ways to solve problems promptly.

Keywords: deliberative quality; indicators; governance; resilience; throughput; big data; social network analysis; time-series analysis; participatory budgeting; Helsinki (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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