Electronic voting allows people to participate more easily in their country’s electoral events. Nevertheless, its adoption is still far from widespread. In this paper, we provide a detailed survey of the state of adoption worldwide and investigate which socio-economic factors may influence such an adoption. Its usage is wider in North and South America, while remaining considerably lower in Europe and Asia and practically absent in Africa. We distinguish between e-voting, which maintains the traditional polling station structure while adding technological components, and i-voting, which enables remote participation from any location using personal devices. Five factors (country’s surface and population, Gross Domestic Product, Internet Usage, and Democracy Index) are investigated to predict adoption, and an accuracy of over 79% is achieved through a machine learning random forest model. Larger, wealthier, and more democratic countries are typically associated with a larger adoption of internet voting.

Electronic Voting Worldwide. The State of the Art / Fantozzi, Paolo; Iecher, Marco; Laura, Luigi; Naldi, Maurizio; Rughetti, Valerio. - In: INFORMATION. - ISSN 2078-2489. - 16:8(2025). [10.3390/info16080650]

Electronic Voting Worldwide. The State of the Art

Iecher, Marco
;
Laura, Luigi;Rughetti, Valerio
2025

Abstract

Electronic voting allows people to participate more easily in their country’s electoral events. Nevertheless, its adoption is still far from widespread. In this paper, we provide a detailed survey of the state of adoption worldwide and investigate which socio-economic factors may influence such an adoption. Its usage is wider in North and South America, while remaining considerably lower in Europe and Asia and practically absent in Africa. We distinguish between e-voting, which maintains the traditional polling station structure while adding technological components, and i-voting, which enables remote participation from any location using personal devices. Five factors (country’s surface and population, Gross Domestic Product, Internet Usage, and Democracy Index) are investigated to predict adoption, and an accuracy of over 79% is achieved through a machine learning random forest model. Larger, wealthier, and more democratic countries are typically associated with a larger adoption of internet voting.
2025
electronic voting; internet voting; elections; democracy
01 Pubblicazione su rivista::01a Articolo in rivista
Electronic Voting Worldwide. The State of the Art / Fantozzi, Paolo; Iecher, Marco; Laura, Luigi; Naldi, Maurizio; Rughetti, Valerio. - In: INFORMATION. - ISSN 2078-2489. - 16:8(2025). [10.3390/info16080650]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1751852
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