Converting the Outcomes of Citizens’ Discourses in the Cyberspace into Policy Inputs for More Democratic and Effective Government
Yuri Misnikov (),
Olga Filatova () and
Andrei Chugunov ()
Additional contact information
Yuri Misnikov: ITMO University
Olga Filatova: St. Petersburg State University
Andrei Chugunov: ITMO University
A chapter in Beyond Bureaucracy, 2017, pp 259-287 from Springer
Abstract:
Abstract Using a real-life and imagined case studies, we demonstrate how a casual, informal political conversation on social media among ordinary citizens could be transformed into a policy discourse. It is done by deconstructing the logic of discursive interactivity of online discussions. In doing so, we apply Jurgen Habermas’ validity claims to normative rightness to reveal citizens’ attitudinal positions ‘For’ and ‘Against’ certain social effects of food destruction policy of the Russian government. We measure citizens’ attitudes in the form of the discursively constructed solidarities behind each position and show the interactive process of their formation. We also build a range of interactivity models that could exploit the potential of artificial neural networks for creating new tools of discourse analytics that can capture citizens’ policy inputs in an easily understood format. The goal of such tools is seen in helping reduce deliberative disagreements by encouraging acceptance of other points of view—the core principle and ideal of deliberative democracy.
Keywords: Online Discourse; Collective Intelligence; Deliberative Democracy; Moral Disagreement; Validity Claim (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-319-54142-6_15
Ordering information: This item can be ordered from
http://www.springer.com/9783319541426
DOI: 10.1007/978-3-319-54142-6_15
Access Statistics for this chapter
More chapters in Public Administration and Information Technology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().