Work

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

Year: 2021

Type: article

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.

Source: Sustainability

DOI: 10.3390/su13031187

Authors: Bokyong Shin, Mikko Rask

Institutions: University of Helsinki, National Consumer Research Centre

Language: English

Topic: Social Media and Politics

Subfield: Communication

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,622

Funders: Academy of Finland, NordForsk