Calisto, un software para la construcción del discurso político

  1. Marta Redondo 1
  2. Dafne Calvo 1
  3. María Díez-Garrido 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Revista:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Año de publicación: 2017

Título del ejemplar: Comunicación política I

Volumen: 26

Número: 4

Páginas: 756-764

Tipo: Artículo

DOI: 10.3145/EPI.2017.JUL.19 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: El profesional de la información

Objetivos de desarrollo sostenible

Resumen

This paper addresses an aspect not yet investigated in Spanish political communication: the use of data mining systems and machine learning in the construction of political discourse. This text details the potential of Calisto software, which was designed and implemented by the Popular Party (PP), previously used in Castile and Leon and then at the national level. This software acts as a digital political advisor and is currently used by 7,500 positions and party members. The program tracks information on the internet to identify the most relevant sources. In addition, its natural language processing generates ideas and arguments that politicians use to construct their speech. This article explores the benefits of this tool and its ability to automate processes that previously consumed large doses of effort by managers and consultants, and also reflects on the highly controlled model that this type of system imposes in the public arena.

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Fuente de los datos: Dialnet