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

Revue:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Année de publication: 2017

Titre de la publication: Comunicación política I

Volumen: 26

Número: 4

Pages: 756-764

Type: Article

DOI: 10.3145/EPI.2017.JUL.19 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: El profesional de la información

Résumé

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.

Références bibliographiques

  • Bimber, Bruce (2014). “Digital media in the Obama campaigns of 2008 and 2012: Adaptation to the personalized political communication environment”. Journal of information technology & politics, v. 11, n. 2, pp. 130-150. https://goo.gl/svC61j https://doi.org/10.1080/19331681.2014.895691
  • Bimber, Bruce; Davis, Richard (2003). Campaigning online. The internet in U.S. elections. New York: Oxford University Press. ISBN: 0 195151550
  • Dader, José-Luis; Campos-Domínguez, Eva (dirs.) (2016). Cibercampaña en Castilla y León. Elecciones autonómicas 2015. Valladolid: Universidad de Valladolid. ISBN: 978 84 84488873
  • Dader, José-Luis; Cheng, Lifen; Campos-Domínguez, Eva; Quintana, Nuria; Vizcaíno-Laorga, Ricardo (2014). “Las webs de los partidos españoles en campaña electoral. Continuismo entre 2008 y 2011”. Trípodos, n. 34, pp. 115-152. http://www.tripodos.com/index.php/Facultat_Comunicacio_ Blanquerna/article/view/169
  • Del-Rey-Morató, Javier (1996). “¿De qué hablamos cuando hablamos de comunicación política?”. ZER, n. 1, pp. 51-66 http://www.ehu.eus/zer/hemeroteca/pdfs/zer01-04-delrey.pdf
  • Foot, Kristen; Schneider, Steven (2006). Web campaigning. Cambridge: MIT Press. ISBN: 978 0 262062589
  • Gibson, Rachel (2004). “Web campaigning from a global perspective”. Asia-Pacific review, v. 11, n. 1, pp. 95-126. https://goo.gl/rfhN2G https://doi.org/10.1080/13439000410001687779
  • González-Bailón, Sandra (2013). “Social science in the era of big data”. Policy & internet, v. 5, n. 2, pp. 147-160. https://papers.ssrn.com/sol3/papers.cfm?abstract_ id=2238198 https://doi.org/10.1002/1944-2866.POI328
  • Jackson, Nigel; Lilleker, Darren (2004). “Just public relations or an attempt at interaction? British MPs in the press, on the Web and `in your face´”. European journal of communication, v. 19, n. 4, pp. 507-33. https://goo.gl/USmJ4v https://doi.org/10.1177/0267323104047671
  • Kreiss, Daniel (2012). Taking our country back: The crafting of networked politics from Howard Dean to Barck Obama. New York: Oxford University Press. ISBN: 978 0199936786
  • Lippi, Marco; Torroni, Paolo (2015). “Argumentation mining: State of the art and emerging trends”. En: Actas del IJCAI 2015 International workshop on theory and applications of formal argument (TAFA-15). Buenos Aires (Argentina): IJCAI. http://lia.disi.unibo.it/~ml/publications/ACMTOIT2015.pdf
  • Mochales-Palau, Raquel; Moens, Marie-Francine (2009). “Argumentation mining: the detection, classification and structure of arguments in text”. En: Proceedings of the 12th intl conf on artificial intelligence and law. New York: ACM, pp. 98-107. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1. 471.2730&rep=rep1&type=pdf https://doi.org/10.1145/1568234.1568246
  • Nickerson, David; Rogers, Todd (2014). “Political campaigns and big data”. Journal of economics perspectives, v. 28, n. 2, pp. 51-74. https://goo.gl/Zf5VHc https://doi.org/10.1257/jep.28.2.51
  • Nielsen, Rasmus-Kleiss (2012). Ground wars: Personalized communication in political campaigns. Princeton, NJ: Princeton University Press. ISBN: 978 0 691153049
  • Pang, Bo; Lee, Lillian (2008). “Opinion mining and sentiment analysis”. Foundations and trends in information retrieval, v. 2, n. 1-2, pp. 1-135. https://doi.org/10.1561/1500000011
  • Tufekci, Zeynep (2014). “Engineering the public: Big data, surveillance and computational politics”. First Monday, v. 19, n. 7. https://doi.org/10.5210/fm.v19i7.4901
La source de données: Dialnet