Artificial Intelligence in the “Our St. Petersburg” e-Participation Portal Functioning: Outcomes of Intellectual Classifier Development

Begen, Petr Nikolayevich

doi:10.1007/978-3-030-65218-0_20

Cited by 1 publication

(3 citation statements)

References 6 publications

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“…Paper ID F-measure [44,45,47,48,57,58,60,64,66,73,77,80,82,86] Precision [43,45,57,60,62,66,67,73,[76][77][78]80,82,86] Accuracy [43,44,46,62,63,69,70,73,[76][77][78]80,82] Recall [45,52,57,60,62,66,73,77,78,80,82,…”

Section: Discussionmentioning

confidence: 99%

“…Finally, the collection of citizens' opinions, termed eConsultation, constitutes another category of eParticipation activities that is present in the studies. Most studies in this cluster focus on data analysis from eConsultation platforms [43,46,47]. Additionally, exploration into game design principles to enhance eConsultation initiatives [55] and optimize AI utilization in governance through eConsultation platform data [45] is noted.…”

Section: Eparticipation Actorsmentioning

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%

See 2 more Smart Citations

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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