The Use of Artificial Intelligence in eParticipation: Mapping Current Research

Zisis Vasilakopoulos, Theocharis Tavantzis, Rafail Promikyridis () and Efthimios Tambouris ()
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Zisis Vasilakopoulos: Applied Informatics, University of Macedonia, 546 36 Thessaloniki, Greece
Theocharis Tavantzis: Applied Informatics, University of Macedonia, 546 36 Thessaloniki, Greece
Rafail Promikyridis: Applied Informatics, University of Macedonia, 546 36 Thessaloniki, Greece
Efthimios Tambouris: Applied Informatics, University of Macedonia, 546 36 Thessaloniki, Greece

Future Internet, 2024, vol. 16, issue 6, 1-17

Abstract: 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.

Keywords: eParticipation; Artificial Intelligence (AI) (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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