Abstract
This article analyses the political communication on Twitter of the Government of Spain at the height of the Covid-19 pandemic. The #estevirusloparamosunidos campaign on Twitter is monitored during the dates with the worst results in terms of fatalities (March 31th- April, 4th, 2020). The sample included in total 398 523 tweets in four data sets. Through the Social Network Analysis, the main actors and the main interactions between users are identified. The research shows a high coincidence between the typology of the Press Conference Spokespersons and the main actors on the analyzed hashtag, prioritizing the Spanish Administration and the Armed Forces. There was also a high relationship of the main opinion leaders with their “natural spectrum”. We conclude that in this hashtag there was a “war-like” atmosphere. Via the computer-based text analysis we identify that the word ‘government’ was mentioned more than medical words and that there are present some military-like terms.
Publisher
Universidad Complutense de Madrid (UCM)
Reference89 articles.
1. Albalawi, Y., Nikolov, N. S., & Buckley, J. (2019). Trustworthy health-related tweets on social media in Saudi Arabia: Tweet metadata analysis. Journal of Medical Internet Research, 21(10), Article e14731. https://doi.org/10.2196/14731
2. Agüero-Torales, M. M., Vilares & D., López-Herrera, A.G. (2021). Discovering topics in Twitter about the COVID-19 outbreak in Spain. Procesamiento del lenguaje natural, 66, 177-190. https://bit.ly/3uLldC1
3. Andreu-SánchezC., & Martín-Pascual, M.Á. (2020). Fake images of the SARS-CoV-2 coronavirus in the communication of information at the beginning of the first Covid-19 pandemic. El profesional de la información, 29(3), Article e290309. https://doi.org/10.3145/epi.2020.may.09
4. Ausserhofer, J., & Maireder, A. (2013). National Politics on Twitter: Structures and topics of a networked public sphere. Information, Communication & Society, 16(3), 291-314. https://doi.org/10.1080/1369118X.2012.756050
5. Baeza-Yates, R., & Peiró, K. (2019). És possible acabar amb els biaixos dels algorismes?. https://bit.ly/3DkxcJR
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