The online discourse as a form of e-Participation

Filatova, Olga; Volkovskii, Daniil

doi:10.1145/3428502.3428547

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…The current method of discourse analysis has been already empirically tested in our previous research (Filatova & Volkovskii, 2020;Filatova & Volkovskii, 2021a) dedicated to studying such parameters of deliberative quality in online conversations as participatory equality, posting activism, civility, argumentation, interactivity and dialogism. We appeal to Misnikov's methodological vision as he managed to translate the Habermasian concept of the public sphere (specifically his theory of discourse ethics) into a workable empirical framework which allows to study real-life online discourse in Russia.…”

Section: Methodsmentioning

confidence: 99%

Low Civility and High Incivility in Russian Online Deliberation

Volkovskii¹,

Filatova²

2023

KOME

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One of the most studied fields in deliberative research is (in)civility in Internet-based political discussions on issues of common concern. Uncivil behaviour demonstrated by participants in online communication has various forms and negative effects on the process and outcomes of e-deliberation as well as on deliberators’ reactions and attitudes, which have been predominantly investigated in Western democracies. However, this issue has been poorly covered in the countries with less stable democratic traditions and values. This paper explores speech culture with a focus on civility and incivility in Russian political conversations conducted on Russian social media. The authors analyse mass-scale web political discussions on a polarising issue of the court sentence of the politician Alexei Navalny (2021), taking one of the most popular Russian social networks VKontakte. For this study, scholars use discourse analysis based on the works on deliberative democracy proposed by J. Habermas (1996). They conclude that Russian political speech regarding Navalny’s sentence and conducted on the VKontakte social media platform can be characterised by a great extent of uncivil speech unbalanced by a low extent of civil speech. The conversations are not oriented towards mutual recognition or reaching a consensus, as participants are often distracted from the main issue being discussed, and turn to interpersonal topics instead.

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Section: Methodsmentioning

confidence: 99%

Low Civility and High Incivility in Russian Online Deliberation

Volkovskii¹,

Filatova²

2023

KOME

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“…Studies related to the "Democratic" effect: This category is relatively infrequently mentioned, with sporadic references to democracy. Some view public debates as fundamental to democratic societies [81] while technological advancements are sometimes presented as tools to aid democracy [50,54]. Conversely, concerns are raised about the democratic nature of online consultations due to inadequate technological understanding [79] or the perceived imposition of technologies on citizens [41].…”

Section: Eparticipation Effectsmentioning

confidence: 99%

“…Paper ID Deliberative [42,48,55,61,64,65,69,71,79,81,86] Democratic [41,44,50,54,65,81,85] Civic Engagement [41,44,47,[49][50][51][53][54][55]58,60,63,65,66,[68][69][70]74,76,[78][79][80][81][82][83]85,86]…”

Section: Effectsmentioning

confidence: 99%

“…Kumar and Sharma in [62] present and test a framework for analyzing people's tweets regarding a major agricultural policy. Filatova and Volkovskii in [54] propose the use of neural networks for the analysis of online discussions and to match people who are for or against a particular policy. In [60], it is proposed that the use of a decision support system by citizens could help policymakers to identify solutions to citizens' problems.…”

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

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The Use of Artificial Intelligence in eParticipation: Mapping Current Research

Vasilakopoulos,

Tavantzis,

Promikyridis

et al. 2024

Future Internet

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Electronic Participation (eParticipation) enables citizens to engage in political and decision-making processes using information and communication technologies. As in many other fields, Artificial Intelligence (AI) has recently started to dictate some of the realities of eParticipation. As a result, an increasing number of studies are investigating the use of AI in eParticipation. The aim of this paper is to map current research on the use of AI in eParticipation. Following PRISMA methodology, the authors identified 235 relevant papers in Web of Science and Scopus and selected 46 studies for review. For analysis purposes, an analysis framework was constructed that combined eParticipation elements (namely actors, activities, effects, contextual factors, and evaluation) with AI elements (namely areas, algorithms, and algorithm evaluation). The results suggest that certain eParticipation actors and activities, as well as AI areas and algorithms, have attracted significant attention from researchers. However, many more remain largely unexplored. The findings can be of value to both academics looking for unexplored research fields and practitioners looking for empirical evidence on what works and what does not.

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