Influence of monkeypox on Spanish fact-checkers: Analysis of their activity on Facebook
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https://orcid.org/0000-0002-7822-7526
Abstract
This article analyzes the publication and interaction dynamics of fact-checkers on Facebook during the crisis caused by monkeypox in Spain. For this, a quantitative analysis of a total of 2,740 publications issued by the 4 Spanish fact-checkers is carried out. The results show that monkeypox has barely had an impact on the activity or interaction received by the Spanish fact-checkers in their verifications.
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Abuín-Penas, J., y Abuín-Penas, R. (2022). Redes sociales y el interés por la información oficial en tiempos de pandemia: análisis de la comunicación de los ministerios de salud europeos en Facebook durante la COVID-19. Revista de Comunicación y Salud, 12, 59–76. https://doi.org/10.35669/rcys.2022.12.e303
Abuín-Penas, J., Míguez-González, M. I., y Dafonte-Gómez, A. (2022). Verificación sobre la COVID-19 en Facebook. ¿Qué temas interesan a los seguidores de los fact-checkers?. Textual y Visual Media, (16), 1-21. https://doi.org/10.56418/txt.16.2022.001
Aleixandre-Benavent, R., Castelló-Cogollos, L., y Valderrama-Zurián, J. C. (2020). Información y comunicación durante los primeros meses de Covid-19. Infodemia, desinformación y papel de los profesionales de la información. El profesional de la información, 29(4), e290408. https://doi.org/10.3145/epi.2020.jul.08
Berelson, B. (1952). Content analysis in communication research. Free Press.
Bernal, P. (2018). Fakebook: Why Facebook makes the fake news problem inevitable. Northern Ireland Legal Quarterly, 69(4), 513-530. https://doi.org/10.53386/nilq.v69i4.189
Brainard, J., y Hunter, P. R. (2020). Misinformation making a disease outbreak worse: outcomes compared for influenza, monkeypox, and norovirus. Simulation, 96(4), 365-374. https://doi.org/10.1177/0037549719885021
Brennen, J. S., Simon, F. M., Howard, P. N., y Nielsen, R. K. (2020). Types, sources, and claims of COVID-19 misinformation (Doctoral dissertation, University of Oxford).
Carvajal, P., Balanay, J. A. G., Shearman, S., y Richards, S. L. (2022). Facebook and mosquito-borne disease outbreaks: An analysis of public responses to federal health agencies’ posts about dengue and Zika in 2016. PLOS Global Public Health, 2(9), e0000977. https://doi.org/10.1371/journal.pgph.0000977
Casero-Ripolles, A. (2020). Impacto del Covid-19 en el sistema de medios. Consecuencias comunicativas y democráticas del consumo de noticias durante el brote. Profesional De La información, 29(2). Recuperado a partir de https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/79790
Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F. y Scala, A. (2020). The COVID-19 social media infodemic. Scientific reports, 10(1), 1-10. https://arxiv.org/pdf/2003.05004.pdf
Dafonte-Gómez, A., Míguez-González, M.-I., y Martínez-Rolán, X. (2022). Los fact-checkers iberoamericanos frente a la COVID-19. Análisis de actividad en Facebook. Observatorio (OBS*), 16(1). https://doi.org/10.15847/obsOBS16120221823
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, E. H., y Quattrociocchi, W. (2016). The spreading of misinformation online. Proceedings of the national academy of Sciences, 113(3), 554-559. https://doi.org/10.1073/pnas.1517441113
Delmazo, C., y Valente, J. C. (2018). Fake news nas redes sociais online: propagação e reações à desinformação em busca de cliques. Media y Jornalismo, 18(32), 155-169. https://doi.org/10.14195/2183-5462_32_11
Galido, A., Ecleo, J. J., Husnayain, A., y Chia-Yu Su, E. (2021). Exploring online search behavior for COVID-19 preventive measures: The Philippine case. PLoS One, 16(4), e0249810. https://doi.org/10.1371/journal.pone.0249810
Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., y Lazer, D. (2019). Fake news on Twitter during the 2016 US presidential election. Science, 363(6425), 374-378. https://doi.org/10.1126/science.aau2706
Hernández-Sampieri, R., Fernández-Collado, C., y Baptista-Lucio, P. (2010). Metodología de la investigación. McGraw Hill.
Krippendorff, K. (2018). Content Analysis. An Introduction to Its Methodology. SAGE Publications Inc.
Martínez-Rolán, X., y Dafonte-Gómez, A. (2022). COVID, Hoaxes and Factcheckers. Evolution of Denyings in Ibero-America 2020-2022.
VISUAL REVIEW. International Visual Culture Review / Revista Internacional De Cultura Visual, 10(1), 1–14. https://doi.org/10.37467/revvisual.v9.3556
Martins-Filho, P. R., de Souza Araújo, A. A., Quintans-Júnior, L. J., y Santos, V. S. (2021). Digital public interest on coronavirus information and social distancing: a Brazilian nationwide analysis using an infodemiology approach. Journal of Travel Medicine, 28(2), taaa154. https://doi.org/10.1093/jtm/taaa154
Martins-Filho, P. R., de Souza Araújo, A. A., y Quintans-Júnior, L. J. (2022). Global online public interest in monkeypox compared with COVID-19: Google trends in 2022. Journal of Travel Medicine, 29(8), taac104. https://doi.org/10.1093/jtm/taac104
Mavragani, A. (2020). Tracking COVID-19 in Europe: infodemiology approach. JMIR public health and surveillance, 6(2), e18941. https://doi.org/10.2196/18941
Merrick, E., Weissman, J. P., y Patel, S. J. (2022). Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies. Vaccine, 40(30), 4057-4063. https://doi.org/10.1016/j.vaccine.2022.05.070
Newman, N., Fletcher, R., Schultz, A., Andi, S., Robertson, C. T. y Nielsen, R. K. (2021). Reuters Institute Digital News Report 2021. Reuters Institute for the Study of Journalism. https://bit.ly/3xBCbo9
OMS. (2022, 21 marzo). Brote de viruela símica en múltiples países en los que la enfermedad no es endémica. Recuperado 20 de enero de 2023, de https://www.who.int/es/emergencies/disease-outbreak-news/item/2022-DON385
Ortiz-Martínez, Y., Sarmiento, J., Bonilla-Aldana, D. K., y Rodríguez-Morales, A. J. (2022). Monkeypox goes viral: Measuring the misinformation outbreak on Twitter. The Journal of Infection in Developing Countries, 16(07), 1218-1220. https://doi.org/10.3855/jidc.16907
Pérez-Curiel, C. P., y Molpeceres, A. M. V. (2020). Impacto del discurso político en la difusión de bulos sobre Covid-19. Influencia de la desinformación en públicos y medios. Revista latina de comunicación social, (78), 65-97. https://doi.org/10.4185/RLCS-2020-1469
Pérez-Díaz, P. L., y Albert-Botella, L. (2022). Fact-checking on COVID-19 after a year of global infodemic. Analysis of digital misinformation in Spain, Portugal and Latin America. In Communication and Smart Technologies: Proceedings of ICOMTA 2021 (pp. 173-183). Springer Singapore. https://doi.org/10.1007/978-981-16-5792-4_18
Rivadeneyra, D. (2021). Desinformación y Covid-19: análisis del consumo de memes por millenials ecuatorianos. #PerDebate, 5(1), 116–141. https://doi.org/10.18272/pd.v5i1.2365
Rovetta, A., y Bhagavathula, A. S. (2020). COVID-19-related web search behaviors and infodemic attitudes in Italy: Infodemiological study. JMIR public health and surveillance, 6(2), e19374. https://doi.org/10.2196/19374
Roy, M., Moreau, N., Rousseau, C., Mercier, A., Wilson, A., y Atlani-Duault, L. (2020). Ebola and localized blame on social media: Analysis of Twitter and Facebook conversations during the 2014–2015 Ebola epidemic. Culture, Medicine, and Psychiatry, 44, 56-79. https://doi.org/10.1007/s11013-019-09635-8
Sánchez-Duarte, J. M., y Magallón Rosa, R. (2020). Infodemia y COVID-19. Evolución y viralización de informaciones falsas en España. Revista española de comunicación en salud, 31-41. https://doi.org/10.20318/recs.2020.5417
Simbaña, P. (2022). Pensando como tóxica: breve manual para el fact-checking. #PerDebate, 6(1), 196-203. https://doi.org/10.18272/pd.v6i1.2819
Sousa-Pinto, B., Anto, A., Czarlewski, W., Anto, J. M., Fonseca, J. A., y Bousquet, J. (2020). Assessment of the impact of media coverage on COVID-19–related google trends data: Infodemiology Study. Journal of medical Internet research, 22(8), e19611. https://doi.org/10.2196/19611
Strzelecki, A. (2020). The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study. Brain, behavior, and immunity, 88, 950. https://doi.org/10.1016%2Fj.bbi.2020.04.042
Tandoc Jr, E. C., Lim, Z. W., y Ling, R. (2018). Defining “fake news” A typology of scholarly definitions. Digital journalism, 6(2), 137-153. https://doi.org/10.1080/21670811.2017.1360143
Townsend, T. (2016). The Bizarre Truth behind the Biggest Pro-Trump Facebook Hoaxes. Inc. https://www.inc.com/tess- townsend/ending-fed-trump-facebook.html
Vosoughi, S., Roy, D., y Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151. https://doi.org/10.1126/science.aap9559
Wang, P., Angarita, R., y Renna, I. (2018, April). Is this the era of misinformation yet: combining social bots and fake news to deceive the masses. In Companion Proceedings of the The Web Conference 2018 (pp. 1557-1561).
We are social y Hootsuite (2022). Digital 2022. Global digital overview. https://bit.ly/3p4x6BH
Zimmer, F., Scheibe, K., Stock, M., y Stock, W. G. (2019). Fake news in social media: Bad algorithms or biased users?. Journal of Information Science Theory and Practice, 7(2), 40-53. http://dx.doi.org/10.1633/JISTaP.2019.7.2.4