Envíe este artículo por correo electrónico COMUNICACIÓN Y COVID-19: LA PANDEMIA A TRAVÉS DE TWITTER EN LATINOAMÉRICA. Un vistazo general en 4 países.
Resumen
El presente artículo se enmarca en el contexto de comunicación para crisis sanitarias a través del uso de redes sociales en Latinoamérica, específicamente el uso de Twitter en los países latinoamericanos con mayor número de usuarios. Realizamos un análisis comparativo sobre la presencia de mensajes sobre COVID-19 en Twitter en México, Argentina, Brasil y Colombia. A pesar del alcance limitado de Twitter en la población, Twitter tiene un gran potencial para amplificar los mensajes. La presencia de autoridades públicas y de salud es escasa, mientras que las personalidades mediáticas tienen una fuerte presencia. La mayoría de los tuits se centran en compartir información y anuncios de la pandemia con otros usuarios. Finalmente, este artículo ofrece recomendaciones basadas en la revisión del uso de Twitter en los primeros meses de COVID-19.
Palabras clave
Texto completo:
PDFReferencias
Abd-Alrazaq, A., Alhuwail, D., Househ, M., Hamdi, M., & Shah, Z. (2020). Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. Journal of Medical Internet Research, 22(4), e19016. https://doi-org.ezproxy.fiu.edu/10.2196/19016
Bomlitz, L.J., & Brezis, M., (2008) Misrepresentation of health risks by mass media. Journal of Public Health, 30(2), 202-204.
Budhwani, H., & Sun, R. (2020). Referencing the novel coronavirus as the “Chinese virus” or “China virus” on Twitter: COVID-19 stigma. Journal of Medical Internet Research. https://doi-org.ezproxy.fiu.edu/10.2196/19301
Calleja-Reina, M. A., Cerveró, E. D., & Barrio, T. V. (2017). Dengue en Corrientes (Argentina): Estrategia de comunicación en Twitter durante el brote de 2016= Dengue fever in Corrientes (Argentina): Communication strategy in Twitter during the outbreak of 2016. Revista Española de Comunicación en Salud, 8(2), 118-134
Candón Mena, José (2011) “La batalla de la agenda: De las redes sociales a la agenda mediática, política y electoral”, en Actas del V Congreso Periodismo en Red, Universidad Complutense de Madrid, Facultad de Ciencias de la Información, Departamento de Periodismo II, celebrado del 15 al 16 de noviembre de 2011.
Caplan, M. A., Purser, G., & Kindle, P. A. (2017). Personal Accounts of Poverty: A Thematic Analysis of Social Media. Journal of Evidence-Informed Social Work, 14(6), 433–456. https://doi-org.ezproxy.fiu.edu/10.1080/23761407.2017.1380547
“CDC (@CDCgov).” Twitter, 12 Nov. 2017, https://twitter.com/CDCgov
“CDC (@CDCgov).” Twitter, 15 May, 2020, https://twitter.com/CDCgov
Chew, C., & Eysenbach, G. (2010). Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak. PLoS ONE, 5(11), 1–13. https://doi-org.ezproxy.fiu.edu/10.1371/journal.pone.0014118
Chou, W.-Y. S., Oh, A., & Klein, W. M. P. (2018). Addressing Health-Related Misinformation on Social Media. JAMA, 320(23), 2417–2418. https://doi-org.ezproxy.fiu.edu/10.1001/jama.2018.16865
“Digital 2020.” We Are Social, wearesocial.com/digital-2020.
García, R. (2014). Twitter y la teoría de la Agenda-Setting: mensajes de la opinión pública digital. Estudios sobre el mensaje periodístico, 20(1), 249-265.
Gonzales, A. (2016). The contemporary US digital divide: from initial access to technology maintenance. Information, Communication and Society, 19(2), 234–248. https://doi-org.ezproxy.fiu.edu/10.1080/1369118X.2015.1050438
Gorodzeisky, A., & Semyonov, M. (2017). Labor force participation, unemployment and
occupational attainment among immigrants in West European countries. PLoS One, 12(5),
e0176856. doi:10.1371/journal.pone.0176856
Guzmán do Nascimento, B. (2018). Comunicación y salud: La gestión de la crisis del Ébola
través de las redes sociales. Revista Española de Comunicación en Salud, 9(2).
Helsper, E.J., van Deursen, A.J.A.M., Eynon, R., (2015). Tangible Outcomes of Internet Use. From Digital Skills to Tangible Outcomes project report. Available at http://www.oii.ox.ac.uk/research/projects/?id=112.
Hinshaw, S. P., & Cicchetti, D. (2000). Stigma and mental disorder: Conceptions of illness, public attitudes, personal disclosure, and social policy. Development and psychopathology, 12(4), 555-598.
ITU Statistics. (2020). International Telecommunication Union. Retrieved 2 May 2020
from https://www.itu.int/en/ITUD/Statistics/Pages/stat/default.aspx
JungWon Yoon, Hagen, L., Andrews, J., Scharf, R., Keller, T., & EunKyung Chung. (2019). On the use of multimedia in Twitter health communication: analysis of tweets regarding the Zika virus. Information Research, 24(2), 1.
Khan, M. L., Welser, H. T., Cisneros, C., Manatong, G., & Idris, I. K. (2020). Digital inequality in the Appalachian Ohio: Understanding how demographics, internet access, and skills can shape vital information use (VIU). Telematics and Informatics, 50. https://doi-org.ezproxy.fiu.edu/10.1016/j.tele.2020.101380
Kievik, M., Giebels, E., & Gutteling, J. M. (2020) The key to risk communication success. The longitudinal effect of risk message repetition on actual self-protective behavior of primary school children. Journal of Risk Research. https://doi-org.ezproxy.fiu.edu/10.1080/13669877.2020.1738527
Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., Adib, E., Zarka, J., Traboulsi, C., Akl, E. W., & Baddour, K. (2020). Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus, 12(3), e7255. https://doi-org.ezproxy.fiu.edu/10.7759/cureus.7255
Lachlan, K. A., Spence, P. R., Lin, X., Najarian, K., & Del Greco, M. (2016). Social media and crisis management: CERC, search strategies, and Twitter content. Computers in Human Behavior, 54, 647-652.
Lancet, T. (2014) The medium and the message of Ebola (editorial). The Lancet, 384(9955),1641. Retrieved from http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(14)62016-X/fulltext
Leiss, W. (2004). Effective risk communication practice. Toxicology letters, 149(1-3), 399-404.
Lowstedt, A., & Mboti, N. (2017). Media racism: Beyond modernity and postmodernity.
International Journal of Media & Cultural Politics, 13, 111–130. doi:10.1386/macp.13.12.111_1
Matsa, M. E. & Shearer, E. (2018) News use across social media platforms 2018. Pew Research Center. [Available from: www.journalism.org/2018/09/10/ news-use-across-social-media-platforms-2018]
Marino, M. I., Bilge, N., Gutsche, Jr., Holt, L. (2020). Who (and Where) is credible? Using Virtual Reality to examine credibility and bias of perceived race and ethnicity in urban and suburban environments. Howard Journal of Communications. doi: 10.1080/10646175.2020.1714514
McCombs, M., & Shaw, D. (1972). The Agenda-Setting Function of Mass Media. The Public Opinion Quarterly, 36(2), 176-187. Retrieved May 18, 2020, from www.jstor.org/stable/2747787
McCombs, M., Llamas, J. P., Lopez-Escobar, E., & Rey, F. (1997). Candidate images in Spanish elections: Second-level agenda-setting effects. Journalism & Mass Communication Quarterly, 74(4), 703-717.
Mejía, J. C. (2020, February 26). Estadísticas de redes sociales 2020: usuarios de Facebook, Instagram, YouTube, Linkedin, Twitter, TikTok y otros. Marketing Digital. https://www.juancmejia.com/marketing-digital/estadisticas-de-redes-sociales-usuarios-de-facebook-instagram-linkedin-twitter-whatsapp-y-otros-infografia/#4_Usuarios_activos_de_Twitter
Miller, M., Banerjee, T., Muppalla, R., Romine, W., & Sheth, A. (2017). What are people tweeting about Zika? An exploratory study concerning its symptoms, treatment, transmission, and prevention. JMIR Public Helath Surveill, 3(0) https://www-ncbi-nlm-nih-gov.ezproxy.fiu.edu/pmc/articles/PMC5495967/
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A. & Hoving, C. (2013). A new dimension of health care: systematic review of the uses, benefits & limitations of social media for health communication. Journal of Medical Internet Research, 15(4).
Myrick, J. G., & Willoughby, J. F. (2019). The role of media-induced nostalgia after a celebrity death in shaping audiences' social sharing and prosocial behavior. Journal of Health Communication, 24, 461-468.
Nabel, L. C. (2014). El poder de las redes sociales: la “mano invisible” del framing noticioso. El caso de #LadyProfeco. Revista ICONO14 Revista Científica De Comunicación Y Tecnologías Emergentes, 12(2), 318-337. https://doi.org/10.7195/ri14.v12i2.625
Nacimiento, B. (2018). Comunicacion y salud: La gestion de la crisis del Ebola a traves de las redes sociales. Revista Espanola de Comunication en Salud, 9, 96. doi: 1020318/recs.2018.4497
Novillo-Ortiz, D., & Hernández-Pérez, T. (2017). Social media in public health: an analysis of national health authorities and leading causes of death in Spanish-speaking Latin American and Caribbean countries. BMC Medical Informatics & Decision Making, 17, 1–12. https://doi-org.ezproxy.fiu.edu/10.1186/s12911-017-0411-y
Ortiz-Ospina, E. (2019, September 18). The rise of social media. Our World in Data. https://ourworldindata.org/rise-of-social-media
“PAHO/WHO: Pan American Health Organization.” PAHO/WHO | Pan American Health Organization, www.paho.org/en.
Park, H. W., Park, S., & Chong, M. (2020). An Infodemiological Study on Novel Coronavirus (COVID-19) in South Korea: Conversations and Medical News Frames on Twitter. Journal of Medical Internet Research. https://doi-org.ezproxy.fiu.edu/10.2196/18897
Park, S., & Hoffner, C. A. (2020). Tweeting about mental health to honor Carrie Fisher: How #InHonorOfCarrie reinforced the social influence of celebrity advocacy. Computers in Human Behavior, 110. https://doi-org.ezproxy.fiu.edu/10.1016/j.chb.2020.106353
Rantasila, A., Sirola, A., Kekkonen, A., Valaskivi, K. & Kunelius, R. (2018). #fukushima five years on: a multimethod analysis of Twitter on the anniversary of the nuclear disaster. International Journal of Communication, 12(1), 928-949.
Rimal, R. N., & Lapinski, M. K. (2015). A re-explication of social norms, ten years later.
Communication Theory, 25, 393–409. doi:10.1111/comt.12080
Rohrmann, B. (1992). The evaluation of risk communication effectiveness. Acta Psychologica, 81(2), 169-192.
Rogstad, I. (2016). Is Twitter just rehashing? Intermedia agenda setting between Twitter and mainstream media. Journal of Information Technology & Politics, 13(2), 142-158.
Salathé, M. & Khandelwal, S. (2011). Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Computational Biology, 7(10).
Selwyn, N., Gorard, S., & Furlong, A. (n.d.). Whose Internet is it anyway? Exploring adults’ (non)use of the Internet in everyday life. European Journal of Communication, 20(1), 5–26. https://doi-org.ezproxy.fiu.edu/10.1177/0267323105049631
Sharma, M., Yadav, K., Yadav, N., and Ferdinand, K.C. (2017). Zika virus pandemic—analysis of Facebook as a social media health information platform. American Journal of Infection Control, 45(3), 301-302. https://doi.org/10.1016/j.ajic.2016.08.022
Signorini, A., Segre, A. M. & Polgreen, P. M. (2011). The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic. PloS one, 6(5).
Singh, L., Bansal, S., Bode, L., Budak, C., Chi, G., Kawintiranon, K., Padden, C., Vanarsdall, R., Vraga, E., & Wang, Y. (2020). A first look at COVID-19 information and misinformation sharing on Twitter.
So, J., Kim, S., & Cohen, H. (2017). Message fatigue: Conceptual definition, operationalization, and correlates. Communication Monographs, 84(1), 5–29. https://doi-org.ezproxy.fiu.edu/10.1080/03637751.2016.1250429
Southwell, B. G., Niederdeppe, J., Cappella, J. N., Gaysynsky, A., Kelley, D. E., Oh, A., Peterson, E. B., & Chou, W.-Y. S. (2019). Misinformation as a Misunderstood Challenge to Public Health. American Journal of Preventive Medicine, 57(2), 282–285. https://doi-org.ezproxy.fiu.edu/10.1016/j.amepre.2019.03.009
Sui, M., & Paul, N. (2017). Latino portrayals in local news media: Underrepresentation, negative
stereotypes, and institutional predictors of coverage. Journal of Intercultural Communication
Research, 46(3), 273–294. doi:10.1080/17475759.2017.1322124
Smith, R. A., Zhu, X., & Fink, E. L. (2019). Understanding the Effects of Stigma Messages:
Danger Appraisal and Message Judgments. Health Communication, 34(4), 424–436. doi: 10410236.2017.1405487
Statista Research Department. (2020, March 26). Twitter users in Latin American countries 2020. Retrieved from https://www.statista.com/statistics/977791/number-twitter-users-in-latin-american-countries/
Suka, M., Yamauchi, T., & Yanagisawa, H. (2020) Persuasive messages can be more effective when repeated: A comparative survey assessing a message to seek help for depression among Japanese adults. Patient Education and Counseling, 103(4), 811–818. https://doi-org.ezproxy.fiu.edu/10.1016/j.pec.2019.11.008
Tokuda, Y., Fujii, S., Jimba, M., & Inoguchi, T. (2017). The Relationship Between Trust in Mass Media and the Healthcare System and Individual Health: Evidence from the Asia Barometer Survey. In Inoguchi, T. & Tokuda, Y. (eds.) Trust with Asian Characteristics: Interpersonal and Institutional (pp. 191-207). Springer Singapore.
Torres Nabel, L. C. (2014). El poder de las redes sociales: la “mano invisible” del framing noticioso. El caso de #LadyProfeco. Revista ICONO14 Revista Científica De Comunicación Y Tecnologías Emergentes, 12(2), 318-337. https://doi.org/10.7195/ri14.v12i2.625
Villar, M. E. & Marsh, E. (2018). The role of “New” and “Old” media on infectious deceases perceptions and policies. In N. Bilge & M. I. Marino (Eds.) Reconceptualizing New Media and Intercultural Communication in a Networked Society, Hershey, PA: IGI-Global. doi:10.4018/978-1-5225-3784-7
Wu, Z., & McGoogan, J. M. (2020). Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA: Journal of the American Medical Association, 323(13), 1239–1242. https://doi-org.ezproxy.fiu.edu/10.1001/jama.2020.2648
Enlaces refback
Estadísticas
Visitas al Resumen:2473
PDF:544
Esta obra está licenciada bajo una licencia de atribución Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
Avatares de la Comunicación y la Cultura. ISSN 1853-5925 (en línea). Carrera de Ciencias de la Comunicación de la Facultad de Ciencias Sociales UBA, Santiago del Estero 1029 – 1º Piso, C.A.B.A., Argentina. Tel 54 11 4305-6087 Interno 114 www.comunicacion.sociales.uba.ar avatares@sociales.uba.ar
Esta revista se encuentra registrada en: