Harnessing Artificial Intelligence and Visual Analytics for Modeling Government-Citizen Interaction in Argentinean Institutions

Rocio Hubert (), Gabriela Diaz (), Ana Maguitman (), Elsa Estevez () and Carlos Chesñevar ()
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Rocio Hubert: Universidad Nacional del Sur – Campus Palihue
Gabriela Diaz: Universidad Nacional del Sur – Campus Palihue
Ana Maguitman: Universidad Nacional del Sur – Campus Palihue
Elsa Estevez: Universidad Nacional del Sur – Campus Palihue
Carlos Chesñevar: Universidad Nacional del Sur – Campus Palihue

A chapter in Artificial Intelligence in Government, 2025, pp 197-226 from Springer

Abstract: Abstract Government-citizen interactions (GCIs) taking place through digital platforms generate vast amounts of data that can be used to inform government decisions. The quality of such decisions depends on the correct selection and application of automated tools. To this end, this article proposes a reference model integrating intelligent tools for visualizing, analyzing, and reasoning about those interactions. The model is instantiated with different computational techniques rooted in visual analytics, opinion mining, and argumentation. We discuss five application scenarios for the proposed model and provide two case studies based on interactions on social media conducted by five public ministries and a city government in Argentina.

Keywords: Government-citizen interaction; Visual analytics; Sentiment analysis; Argumentation; Digital government; Digital platform (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-031-87623-3_9

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DOI: 10.1007/978-3-031-87623-3_9

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