The People’s Assembly : Testing the Collaborative (e)-Democracy
Abstract
This paper aims to critically analyse the Estonian People’s Assembly (EPA), a crowdsourcing initiative carried out from 2013 to 2014. During the project, citizens could participate in decision-making and make proposals for laws and policies on a dedicated web-platform. Additionally, some people were invited for a traditional off-line debate. In that way, the project combined virtual communication tools with traditional discussion to apply the principles of collaborative e-democracy, in which governmental stakeholders and non-governmental stakeholders (such as local communities) join in a deliberative debate. The purpose of this paper is to observe, both, gains and problems of this crowdsourcing initiative. The analysis considered the design of the online space, if people had equal access to it, and the kind of issues proposed. It also applied critical discourse analysis (following Fairclough, 1995) and the index Quality of Understanding (Klinger & Russmann, 2015). As a conclusion, the paper suggests that virtual platforms can increase the quality of deliberative decision-making. However, they can also be seen as regulated “top-down” initiatives (Pellizzoni, 2012). In a wider perspective, the paper aims to contribute to knowledge on, both, positive and negative stances of deliberative crowdsource initiatives in a post-web society.
Main Author
Format
Articles
Research article
Published
2020
Series
Subjects
Publication in research information system
Publisher
Bastas Publications
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202106033397Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
1986-3497
DOI
https://doi.org/10.29333/ojcmt/7836
Language
English
Published in
Online Journal of Communication and Media Technologies
Citation
- Toode, Ü. (2020). The People’s Assembly : Testing the Collaborative (e)-Democracy. Online Journal of Communication and Media Technologies, 10(2), Article e202005. https://doi.org/10.29333/ojcmt/7836
Copyright© 2020 by authors; licensee OJCMT