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

ROCIO HUBERT; GABRIELA DIAZ; ANA MAGUITMAN; ELSA ESTÉVEZ; CARLOS CHESÑEVAR

Artificial Intelligence in Government. Latin America Challenges and Expectations

Springer

Año: 2025; p. 195 - 226

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.