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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rocio Hubert & Gabriela Diaz & Ana Maguitman & Elsa Estevez & Carlos Chesñevar, 2025. "Harnessing Artificial Intelligence and Visual Analytics for Modeling Government-Citizen Interaction in Argentinean Institutions," Public Administration and Information Technology,, Springer.
    • Handle: RePEc:spr:paitcp:978-3-031-87623-3_9
    DOI: 10.1007/978-3-031-87623-3_9
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