Capítulo de Libro
Autoría
Rocio Hubert
;
Gabriela DIAZ
;
Ana MAGUITMAN
;
Elsa Estévez
;
CHESÑEVAR, CARLOS IVAN
Fecha
2025
Editorial y Lugar de Edición
Springer
Libro
Artificial Intelligence in Government. Latin America Challenges and Expectations
(pp. 195-226)
Springer
Springer
ISBN
978-3-031-87623-3
Resumen
Información suministrada por el agente en
SIGEVA
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...
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.
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Palabras Clave
INTELIGENCIA ARTIFICIALGOBIERNO ELECTRONICO