Análisis del discurso de Twitter en los debates electorales de 2019 en España: un estudio algorítmico comparativo

Sergio Arce-García, Fátima Vila, Joan Francesc Fondevila-Gascón

Producción científica: Artículo en revista indizadaArtículorevisión exhaustiva

5 Citas (Scopus)

Resumen

This article analyzes and compares the following of Twitter users during the two electoral debates of the general elections in Spain in April and November 2019. Through the collection of the official hashtags #ElDebateDecisivo (970,706 tweets) and #DebateElectoral (821,521) respectively from 9 am on the day of the debate until 2 am the following day, we analyzed the polarity and basic emotions of the messages posted on the social network using algorithms with R software. A network theory study was also carried out to determine each account’s affiliation to each group. The results show a polarization in the network, with well-defined groups with hardly any relationship with other groups of different ideologies. It is also observed that the entry of a new player, Vox, into the second debate completely alters the rest of the center-right parties, which end up seeing it from a much more negative perspective. This entry does not involve major changes among the left-wing parties, but it does mean an increase in fear.

Título traducido de la contribuciónAnalysis of the Twitter discourse in the 2019 electoral debates in Spain: a comparative algorithmic study
Idioma originalEspañol
Páginas (desde-hasta)45-61
Número de páginas17
PublicaciónCommunication and Society
Volumen35
N.º1
DOI
EstadoPublicada - 11 ene 2022

Palabras clave

  • Elections
  • Electoral debate
  • Emotions
  • Polarization
  • Twitter

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