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

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http://hdl.handle.net/10138/328329

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Shin , B & Rask , M 2021 , ' Assessment of Online Deliberative Quality : New Indicators Using Network Analysis and Time-series Analysis ' , Sustainability , vol. 13 , no. 3 , 1187 . https://doi.org/10.3390/su13031187

Title: Assessment of Online Deliberative Quality : New Indicators Using Network Analysis and Time-series Analysis
Author: Shin, Bokyong; Rask, Mikko
Contributor organization: Social Policy
Doctoral Programme in Social Sciences
Helsinki Institute of Sustainability Science (HELSUS)
Centre for Consumer Society Research
Doctoral Programme in Political, Soci­etal and Regional Change
Date: 2021-02
Language: eng
Number of pages: 21
Belongs to series: Sustainability
ISSN: 2071-1050
DOI: https://doi.org/10.3390/su13031187
URI: http://hdl.handle.net/10138/328329
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.
Subject: Helsinki
big data
deliberative quality
governance
indicators
participatory budgeting
resilience
social network analysis
throughput
time-series analysis
1172 Environmental sciences
1181 Ecology, evolutionary biology
5142 Social policy
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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