Types of Astroturfing campaigns of disinformative and polarised content in times of pandemic in Spain

Abstract

The paper seeks to determine the application of Astroturfing strategies on Twitter in Spain during the COVID-19 pandemic in the spring of 2020. Statistical analysis, network analysis and machine learning techniques are used to evaluate approximately 32,527 messages published from the state of alarm decree in Spain (14 March, 2020) until the end of May of the same year, associated with eight tags that address issues related to misleading content identified by two of the main factchecking projects (Maldito Bulo and Newtral). Data allow 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 disinformation. 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, with the aim of positioning issues at the level of public opinion.