Calisto, a software for the construction of political discourse

Authors

  • Marta Redondo El profesional de la información
  • Dafne Calvo
  • Marí­a Dí­ez-Garrido

DOI:

https://doi.org/10.3145/epi.2017.jul.19

Keywords:

Cyberpolitics, Data mining, Machine learning, Political discourse, Political parties, Political advisor, Political communication, Partido Popular, PP, Calisto, Spain.

Abstract

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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Published

2017-08-02

How to Cite

Redondo, M., Calvo, D., & Dí­ez-Garrido, M. (2017). Calisto, a software for the construction of political discourse. Profesional De La información, 26(4), 756–764. https://doi.org/10.3145/epi.2017.jul.19

Issue

Vol. 26 No. 4 (2017): Comunicación polí­tica I

Section

Non research articles

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