Modelo para la creación de agenda en políticas públicas a partir de datos provenientes de Twitter para la ciudad de Bogotá.

Abstract

Science, technology, and innovation are crucial in addressing the most pressing contemporary issues. However, Colombia lags behind in the development of E-Government, a key variable in strengthening the relationship between society and the state. To close this gap, a model for creating public policy agendas was developed using Twitter, artificial intelligence algorithms, and Big Data collection techniques. In the metropolitan region of Bogotá in 2022, real-time tweets were collected to identify key themes and create a public policy agenda that reflected the population's needs. Data analysis tools were applied, and a bipartite graph was used to visualize the relationships between the selected themes. The final proposed agenda represents an important tool for promoting citizen participation in decision-making and advancing the construction of a fairer and more equitable society. It is noteworthy that the proposed model was able to capture 40,000 tweets published in real-time in the metropolitan region of Bogotá at low cost and high flexibility, demonstrating its effectiveness in analyzing large volumes of data.