ANÁLISIS Y VISUALIZACIÓN DEL DISCURSO POLÍTICO EN TWITTER DE LOS CANDIDATOS A LA PRESIDENCIA DE MÉXICO (ANALYSIS AND VISUALIZATION OF THE POLITICAL DISCOURSE IN TWITTER OF THE CANDIDATES TO THE PRESIDENCY OF MEXICO)

Erick López Ornelas, Rocío Abascal Mena

Resumen


El discurso político en redes sociales ha reavivado la controversia en torno a las transformaciones que estas nuevas prácticas discursivas introducen en las formas de hacer política. En esta controversia, se enmarca la pregunta acerca de cómo utilizan los candidatos políticos las redes sociales y sobre todo cuáles son los mensajes principales que desean comunicar en Twitter. En este estudio, se aborda un corpus de tuis del inicio de campaña de los tres candidatos que están peleando la presidencia de México 2018 (@RicardoAnayaC, @JoseAMeadeK, @lopezobrador_) a fin de conocer la congruencia del discurso presentado en las redes sociales. Este estudio discursivo está basado en el análisis de redes sociales para visualizar y detectar elementos importantes en el discurso digital en Twitter de los tres candidatos.

The political discourse in social networks has revived the controversy about the transformations that these new discursive practices introduce in the ways of doing politics. In this controversy, the question is framed about how political candidates use social networks and especially what are the main messages they want to communicate on Twitter. In this study, we use a corpus using Twiter from the beginning of the campaign of the three candidates who are fighting for the presidency of Mexico 2018 (@RicardoAnayaC, @JoseAMeadeK, @lopezobrador_). This study is conducted in order to know the congruence of the discourse presented on social networks. This discursive study is based on social networks analysis to visualize and detect important elements in the digital discourse on Twitter of the three candidates.


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Referencias


Brown, E. D. Will twitter make you a better investor? a look at sentiment, user reputation and their effect on the stock market. In Conference proceedings for the southern association for information systems SAIS conference (pp. 36-42), 2012.

Castells, M. El poder de las redes y las redes del poder. El entorno tecnológico de la comunicación. Madrid, Alianza, 2009.

Chamlertwat, W., Bhattarakosol, P., & Rungkasiri, T. Discovering consumer insight from twitter via sentiment analysis. Journal of Universal Computer Science, 18(8), 2012.

Criado, J. Ignacio; Villodre, Julián. Public employees in social media communities: Exploring factors for internal collaboration using social network analysis. First Monday, v. 23, n. 4. 2018.

Delany, C. Online politics, the tools and tactics of Online Politic Advocacy. en: www.epolitics.com, 2008

Graham, T. et al. Between broadcasting political massages and interacting with voters en Information, comunication and society. Londres, Routledge, 2013.

Kumar, R., Novak, J., Tomkins, A. Structure and evolution of on-line social networks, In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2006.

Mills, A., Chen, R., Lee, J., & Raghav Rao, H. Web 2.0 emergency applications: How useful can Twitter be for emergency response? Journal of Information Privacy and Security, 5(3), 2009.

Reinhard Diestel. Graph Theory (5th ed.). Springer Publishing Company, Incorporated, 2017.

Sarlo, B. La audacia y el cálculo. Kirchner 2003-2010. BBAA, Sudamericana, 2011.

Stewart, Leo Graiden, Ahmer Arif and Kate Starbird. Examining Trolls and Polarization with a Retweet Network. (2018).

Wan-Shiou Yang; Jia-Ben Dia; Hung-Chi Cheng; Hsing-Tzu Lin, Mining Social Networks for Targeted Advertising. System Sciences, 2006. HICSS '06. Proceedings of the 39th Annual Hawaii International Conference on, vol.6, no.pp. 137a- 137a, 04-07 Jan. 2006.

Zafarani R, Abbasi MA, Liu H. Social Media Mining an Introduction. Cambridge University; 2014.

Zwaenepoel, W. Really Big Data: Analytics on Graphs with Trillions of Edges. In LIPIcs-Leibniz International Proceedings in Informatics Vol. 70 2017.


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