The Future of e-Democracy: Analyzing and Optimizing Citizen Participation Platforms

As e-democracy evolves, online participatory platforms are revolutionizing citizen engagement in public decisionmaking, enabling unprecedented scale and geographic reach. This study delves into the diverse landscape of these platforms, uncovering their unique objectives and challenges through semistructured interviews with platform administrators. Our analysis reveals critical areas for improvement, particularly in managing large-scale participation and fostering collaborative citizen contributions. We propose innovative solutions, including leveraging machine learning for efficient processing of voluminous inputs and implementing collaborative editing tools to enhance collective decision-making. These advancements promise to transform e-democracy, making it more inclusive, efficient, and impactful. Our findings offer valuable guidance for platform administrators and designers, paving the way for the next generation of digital civic engagement tools.

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Published
2024-10-19
DOI
https://doi.org/10.1109/uv63228.2024.11189207
Primary Topic
Social Media and Politics
Type
article
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article

The Future of e-Democracy: Analyzing and Optimizing Citizen Participation Platforms

William Aboucaya, Rafael Angarita, Valérie Issarny
Social Media and Politics
article

The Future of e-Democracy: Analyzing and Optimizing Citizen Participation Platforms

William Aboucaya, Rafael Angarita, Valérie Issarny
article en

Abstract

As e-democracy evolves, online participatory platforms are revolutionizing citizen engagement in public decisionmaking, enabling unprecedented scale and geographic reach. This study delves into the diverse landscape of these platforms, uncovering their unique objectives and challenges through semistructured interviews with platform administrators. Our analysis reveals critical areas for improvement, particularly in managing large-scale participation and fostering collaborative citizen contributions. We propose innovative solutions, including leveraging machine learning for efficient processing of voluminous inputs and implementing collaborative editing tools to enhance collective decision-making. These advancements promise to transform e-democracy, making it more inclusive, efficient, and impactful. Our findings offer valuable guidance for platform administrators and designers, paving the way for the next generation of digital civic engagement tools.

Institut national de recherche en sciences et technologies du numérique (FR), Laboratoire de Mathématiques d'Orsay (FR), Sorbonne Université (FR), Université Paris Nanterre (FR), Université Paris 1 Panthéon-Sorbonne (FR), Université Paris Dauphine-PSL (FR)
Reduced inequalities
Openalex Percentile: Top 65%
Social Media and Politics
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The Future of e-Democracy: Analyzing and Optimizing Citizen Participation Platforms — William Aboucaya, Rafael Angarita, et al. · (2024) | TGRS Research Map | TGRS