Asustar para desestabilizardesinformación sobre la COVID-19 en Argentina y España

  1. Raquel Tarullo
  2. José Gamir-Ríos
Journal:
Cuadernos.Info

ISSN: 0719-3661

Year of publication: 2022

Issue: 52

Pages: 47-68

Type: Article

DOI: 10.7764/CDI.52.42915 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Cuadernos.Info

Abstract

Disinformation about the COVID-19 pandemic has reached such a magnitude that the situation has been described as infodemic. The aim of this research is to analyze the intentions of such disinformation on social networks and its relationship with the sources, topics, main actors, and emotional appeals of the hoaxes. To this end, we conducted a content analysis on the 548 pandemic-related disinformation published between 1 January 2020 and 30 June 2021 by the fact-checking media platforms Chequeado, in Argentina, and Newtral, in Spain. The results show that disinformation about COVID-19 has similar characteristics in both countries, except in sources’ case, which is consistent with the transnational nature of the infodemic. The hoaxes seek, above all, to destabilise; negationism is the most frequent issue; the most common protagonists are health institutions and professionals, and negative emotional appeals prevail, especially anger, used with polarizing objectives, and fear, whose incorporation pursues destabilising and chaos-fuelling purposes. The appeal to positive emotions is reserved, for fake content with reputational or informative objectives. Furthermore, a statistical correlation is observed between the inferred intention of disinformation and the rest of the variables. The findings of this study lead to the conclusion that the infodemic had the same transnational character as the pandemic, which would suggest that disinformation on a global agenda item uses shared parameters for its propagation in different scenarios.

Bibliographic References

  • Alonso, D. & Brussino, S. (2018). Cultura política en un escenario electoral de polarización en Argentina (Political culture in a polarised electoral scenario in Argentina). RIP, (19), 39–59.
  • Arceneaux, K. & Johnson, M. (2015). More a Symptom than a Cause. In J. Thurber & A. Yoshinaka, In American Gridlock: The Sources, Character, and Impact of Political Polarization (pp. 309-336). Cambridge University Press.
  • Bennett, W. L. & Livingston, S. (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European Journal of Communication, 33(2), 122–139. https://doi.org/10.1177/0267323118760317
  • Bergmann, E. (2020). Populism and the politics of misinformation. Safundi, 21(3), 251-265.
  • https://doi.org/10.1080/17533171.2020.1783086
  • Brennen, J. S., Simon, F. M., Howard, P. N., & Nielsen, R. K. (7/4/2020). Types, sources, and claims of COVID-19 misinformation. Oxford University Press. https://www.oxfordmartin.ox.ac.uk/publications/types-sources-and-claims-of-covid-19-misinformation/
  • Calzado, M., Cirulli, A., & Lio, V. (2021). La ventana al exterior en la pandemia: Tecnologías, hábitos y confianza informativa en Argentina (Window to the Outside during the Pandemic: Information Technologies, Habits and Trust in Argentina). Revista Iberoamericana de Ciencia, Tecnología y Sociedad - CTS, (18). http://ojs.revistacts.net/index.php/CTS/article/view/203
  • Casero-Ripollés, A. (2020). Impact of Covid-19 on the media system: Communicative and democratic consequences of news consumption during the outbreak. Profesional de la Información, 29(2), e290223. https://doi.org/10.3145/epi.2020.mar.23
  • Cebral-Loureda, M. & Sued-Palmeiro, G. E. (2021). Los inicios de la pandemia de COVID19 en Twitter. Análisis computacional de la conversación pública en lengua española (The beginnings of the COVID19 pandemic on Twitter. Computational Analysis of Public Conversation in Spanish Language). Cuadernos.Info, (49), 1–25. https://doi.org/10.7764/cdi.49.27467
  • Chadwick, A. & Vaccari, C. (2019). News sharing on UK social media: Misinformation, disinformation and correction (Version 1). Loughborough University. https://hdl.handle.net/2134/37720.
  • Damasio, A. (2001). Fundamental feelings. Nature, (413), 781. https://doi.org/10.1038/35101669
  • Gamir-Ríos, J. & Tarullo, R. (2022). Predominio de las cheapfakes en redes sociales. Complejidad técnica y funciones textuales de la desinformación desmentida en Argentina durante 2020 (Predominance of cheapfakes in social networks. Technical complexity and textual functions of disinformation checked in Argentina during 2020. adComunica, (23), 97-118. https://doi.org/10.6035/adcomunica.6299
  • Gamir-Ríos, J., Tarullo, R., & Ibáñez-Cuquerella, M. (2021). Multimodal disinformation about otherness on the internet: The spread of racist, xenophobic and Islamophobic fake news in 2020. Anàlisi: Quaderns de Comunicació i Cultura, (64), 49–64. https://doi.org/10.5565/rev/analisi.3398
  • Guallar, J., Codina, L., Freixa, P., & Pérez-Montoro, M. (2020). Desinformación, bulos, curación y verificación: Revisión de estudios en Iberoamérica 2017-2020 (Misinformation, hoaxes, curation and verification. Review of studies in Iberoamerica 2017-2020). Telos: Revista de Estudios Interdisciplinarios en Ciencias Sociales, 22(3), 595-613. https://doi.org/10.36390/telos223.09
  • Gutiérrez-Coba, L., Coba-Gutiérrez, P., & Gómez-Diaz, J. A. (2020). Las noticias falsas y desinformación sobre el Covid-19: Análisis comparativo de seis países iberoamericanos (Fake news about Covid-19: a comparative analysis of six Iberoamerican countries). Revista Latina de Comunicación Social, (78), 237-264. https://doi.org/10.4185/RLCS-2020-1476
  • Igartua, J. J. (2006). Métodos cuantitativos de investigación en comunicación (Quantitative methods in communication research). Bosch.
  • Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Sage Publications.
  • Larson, H. (2020, March 30). Blocking information on COVID-19 can fuel the spread of misinformation. Nature. https://doi.org/10.1038/d41586-020-00920-w
  • López-Borrull, A. & Ollé, C. (2020). Curación de contenidos científicos en tiempos de fake science y Covid-19: Una aproximación entre las ciencias de la información y la comunicación (Curation of scientific content in times of fake science and Covid-19: an approximation between information and communication sciences). Profesional de la Información, 281–289. https://doi.org/10.3145/AE-IC-epi.2020.e16
  • López Duque, D. M. & Tejedor, S. (2020). La divulgación de las noticias sobre ciencia en los principales cibermedios generalistas de España: El País, La Vanguardia, El Periódico y El Mundo (The Dissemination of science news in the main generalist cybermedia of Spain: El País, La Vanguardia, El Periódico and El Mundo). Perspectivas em Ciência da Informação, 25(1), 131–159. https://doi.org/10.1590/1981-5344/4060
  • López-Marcos, C. & Vicente-Fernández, P. (2021). Fact Checkers facing fake news and disinformation in the digital age: A comparative analysis between Spain and United Kingdom. Publications, 9(3), 36. https://doi.org/10.3390/publications9030036
  • López-Roldán, P. & Fachelli, S. (2015). Análisis de tablas de contingencia (Contingency table analysis). In P. LópezRoldán & S. Fachelli, Metodología de la Investigación Social Cuantitativa (Quantitative Social Research Methodology). Universitat Autònoma de Barcelona. http://ddd.uab.cat/record/131469
  • McDougall, J., Brites, M.-J., Couto, M.-J., & Lucas, C. (2019). Digital literacy, fake news and education. Culture and Education, 31(2), 203–212. https://doi.org/10.1080/11356405.2019.1603632
  • Magallón-Rosa, R. & Sánchez-Duarte, J. M. (2021). Information verification during COVID19: Comparative analysis in Southern European Countries. Janus.Net, Thematic dossier International Relations and Social Networks. https://doi.org/10.26619/1647-7251.DT21.10
  • Masip, P., Aran-Ramspott, S., Ruiz-Caballero, C., Suau, J., Almenar, E., & Puertas-Graell, D. (2020). Consumo informativo y cobertura mediática durante el confinamiento por el Covid-19:
  • Sobreinformación, sesgo ideológico y sensacionalismo (News consumption and media coverage during the confinement by Covid-19: information overload, ideological bias and sensationalism). Profesional de la Información, 29(3). https://doi.org/10.3145/epi.2020.may.12
  • Mazzoleni, G. (2003). The Media and the Growth of Neo-Populism in Contemporary Democracies. In G. Mazzoleni, J. Stewart, & B. Horsfield (Eds.), The Media and Neo-Populism (pp. 1-20). Praeger.
  • Moreno-Castro, C., Vengut-Climent, E., Cano-Orón, L., & Mendoza-Poudereux, I. (2020). Exploratory study of the hoaxes spread via WhatsApp in Spain to prevent and/or cure COVID-19. Gaceta Sanitaria, 35(6), 534-541. https://doi.org/10.1016/j.gaceta.2020.07.008
  • Neubauer Esteban, A. (2020). La lucha de la Unión Europea contra la desinformación y las fake news durante la crisis del coronavirus (The European Union's fight against disinformation and fake newsduring the coronavirus crisis). Revista de Estilos de Aprendizaje, 13(26), 50-60. http://revistaestilosdeaprendizaje.com/article/view/2145
  • Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications.
  • Newman, N., Fletcher, R., Schulz, A., Andı, S., & Nielsen, R. K. (2020). Reuters Institute Digital News Report 2020. Reuters Institute. University of Oxford. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2020-06/DNR_2020_FINAL.pdf
  • Nielsen, R. K., Fletcher, R., Newman, N., Brennen, J. S., & Howard, P. N. (2020). Navigating the “Infodemic”: How people in six countries access and rate news and information about coronavirus. Reuters Institute. University of Oxford. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2020-04/Navigating%20the%20Coronavirus%20Infodemic%20FINAL.pdf
  • Nieves-Cuervo, G., Manrique-Hernández, E., Robledo-Colonia, A., & Grillo, A. (2021). Infodemia: noticias falsas y tendencias de mortalidad por COVID-19 en seis países de América Latina (Infodemic: fake news and COVID-19 mortality trends in six Latin American countries). Rev Panam Salud Publica, 45, e44. https://doi.org/10.26633/RPSP.2021.44
  • Organización Mundial de la Salud. (2020, September 23). Managing the COVID-19 infodemic: Promoting healthy behaviours and mitigating the harm from misinformation and disinformation (press release). https://www.who.int/es/news/item/23-09-2020-managing-the-covid-19-infodemic-promoting-healthy-behaviours-and-mitigating-theharm-from-misinformation-and-disinformation
  • Panetta, K. (22/10/2019). Gartner Top Strategic Predictions For 2020 and Beyond. Gartner. https://www.gartner.com/smarterwithgartner/gartner-top-strategic-predictions-for-2020-and-beyond
  • Peña Ascacíbar, G., Bermejo Malumbres, E., & Zanni, S. (2021). Fact checking durante la COVID-19: Análisis comparativo de la verificación de contenidos falsos en España e Italia (Fact checking during COVID-19: a comparative analysis of the verification of false contents in Spain and Italy). Revista de Comunicación, 20(1), 197–215. https://doi.org/10.26441/rc20.1-2021-a11
  • Salaverría, R., Buslón, N., López-Pan, F., León, B., López-Goñi, I., & Erviti, M.-C. (2020). Desinformación en tiempos de pandemia: Tipología de los bulos sobre la Covid-19 (Disinformation in times of pandemic: typology of hoaxes on Covid-19). Profesional de la Información, 29(3), e290315. https://doi.org/10.3145/epi.2020.may.15
  • Silverman, D. (2016). Qualitative research. Sage Publications.
  • Simón, P. (2020). The multiple Spanish Elections of April and May 2019: The Impact of Territorial and Left-right Polarisation. South European Society and Politics, 25(3–4), 441-474. https://doi.org/10.1080/13608746.2020.1756612
  • Tandoc, E. C., Lim, Z. W., & Ling, R. (2017). Defining “Fake News”. Digital Journalism, 6(2), 137–153. https://doi.org/10.1080/21670811.2017.1360143
  • Tarullo, R. (2018). La emoción en la comunicación política en Facebook: un análisis de los mensajes publicados en Facebook por los dirigentes políticos argentinos Cristina Fernández, Mauricio Macri, Sergio Massa y Daniel Scioli durante el período noviembre 2014-noviembre 2015 (Emotion in political Facebook communication: An analysis of Facebook posts published by Argentine political leaders Cristina Fernández, Mauricio Macri, Sergio Massa, and Daniel Scioli between November 2014 and November 2015). Austral Comunicación, 7(1), 27-55. https://doi.org/10.26422/aucom.2018.0701.tar
  • Tucker, J. A., Guess, A., Barberá, P., Vaccari, C., Siegel, A., Sanovich, S., Stukal, D., & Nyhan, B. (2018). Social media, political polarization, and political disinformation: A review of the scientific literature. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3144139
  • Vega-Dienstmaier, J. M. (2020). Teorías de conspiración y desinformación en torno a la epidemia de la COVID-19 (Conspiracy theories and misinformation related to the COVID-19 epidemic). Revista de Neuro-Psiquiatria, 83(3), 135–137. https://doi.org/10.20453/rnp.v83i3.3792
  • Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559
  • Waisbord, S. (2018). Truth is What Happens to News: On journalism, fake news, and post-truth. Journalism Studies, 19(13), 1866-1878. https://doi.org/10.1080/1461670X.2018.1492881
  • Wardle, C. (2018). The Need for Smarter Definitions and Practical, Timely Empirical Research on Information Disorder. Digital Journalism, 6(8), 951-963. https://www.doi.org/10.1080/21670811.2018.1502047
  • Wardle, C. & Derakhshan, H. (2017). Information Disorder Toward an interdisciplinary framework for research and policymaking. Council of Europe Report DGI(2017)09. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-forresearc/168076277c
  • Wason, P. C. (1960). On the Failure to Eliminate Hypotheses in a Conceptual Task. Quarterly Journal of Experimental Psychology, 12(3), 129-40. https://doi.org/10.1080/17470216008416717
  • Weeks, B. E. (2015). Emotions, Partisanship, and Misperceptions: How Anger and Anxiety Moderate the Effect of Partisan Bias on Susceptibility to Political Misinformation. Journal of Communication, 65(4), 699–719. https://doi.org/10.1111/jcom.12164
  • Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), P676. https://doi.org/10.1016/S0140-6736(20)30461-X
Data source: Dialnet