Tipos de campaña Astroturfing de contenidos desinformativos y polarizados en tiempos de pandemia en España

  1. Sergio Arce-García 1
  2. Elías Said-Hung 1
  3. Daria Mottareale-Calvanese 1
  1. 1 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

Journal:
Icono14

ISSN: 1697-8293

Year of publication: 2023

Issue Title: LTE1. Compromiso corporativo e inclusión social: De la ética empresarial al valor de marca. LTE2. Tecnología e innovación en la lucha contra la desinformación, noticias falsas y mentiras en la era de la posverdad

Volume: 21

Issue: 1

Type: Article

DOI: 10.7195/RI14.V21I1.1890 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Icono14

Abstract

The paper seeks to determine the application of Astroturfing strategies on Twitter, at the Spanish level, during the period of the pandemic caused by covid-19 in the spring of 2020. Statistical analysis, network analysis and machine learning techniques, around 32,527 messages, published from the state of alarm decree in Spain (March 14, 2020) until the end of May of the same year, associated with eight tags that address issues related to disinformative content identified by two of the main fact-checking projects (Maldito Bulo and Newtral). Data allows us to observe the participation of users (not bots), who play the role of influencers despite having an average profile or a profile that is far from being considered a public personality. The application of Astroturfing can be seen as a communication strategy used to position issues on social networks through the distribution, amplification and flooding of disinformative content. The scenario allows us to verify the presence of a digital communication scenario that would favour a framework difficult to detect, from strategies such as the one studied, aimed at breaking the echo chamber and filter bubble of social networks. All with the aim of positioning issues at the level of public opinion.

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