Prevención y riesgo de las vacunas COVID-19. Un análisis de los encuadres de noticias en México
DOI:
https://doi.org/10.7764/cdi.63.92784Palabras clave:
NLP, Framing, comunicación y salud, COVID-19, vacunasResumen
Este estudio analiza la cobertura mediática sobre las vacunas contra la COVID-19 a partir de las teorías del framing y la prospectiva. El framing sostiene que los medios no solo informan, sino que también organizan y priorizan ciertos aspectos de la realidad que pueden influir en la interpretación del público. Por su parte, la prospectiva indica que los encuadres de pérdida destacan los riesgos de no vacunarse, mientras que los de ganancia enfatizan los beneficios de la inmunización. Se emplea la técnica Random Forest para identificar patrones en 34.089 noticias de medios mexicanos publicadas entre diciembre de 2020 y 2021. La investigación ofrece un análisis empírico sobre cómo estos encuadres influyen en la promoción de la vacunación mediante distintos enfoques informativos basados en evidencia científica.
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Adhikari, M., Ambigavathi, M., Menon, V. G., & Hammoudeh, M. (2021). Random forest for data aggregation to monitor and predict COVID-19 using edge networks. IEEE Internet of Things Magazine, 4(2), 40-44. https://doi.org/10.1109/IOTM.0001.2100052
Afrin, L. B., Dempsey, T. T., & Weinstock, L. B. (2022). Post-HPV-vaccination mast cell activation syndrome: Possible vaccine-triggered escalation of undiagnosed pre-existing mast cell disease? Vaccines, 10(1), 127. https://doi.org/10.3390/vaccines10010127
Aghazadeh, S. A., & Aldoory, L. (2023). Health communication theory in public relations. In C. Botan, & E. Sommerfeldt (Eds.), Public Relations Theory III (pp. 395-411). Routledge.
Akl, E. A., Oxman, A. D., Herrin, J., Vist, G. E., Terrenato, I., Sperati, F., Costiniuk, C., Blank, D., & Schünemann, H. (2011). Framing of health information messages. Cochrane Database of Systematic Reviews, 12, CD006777. https://doi.org/10.1002/14651858.cd006777.pub2
Alsina, M. R. (1993). La construcción de la noticia (Constructing the news) (Vol. 34). Paidós.
Ardèvol-Abreu, A. (2015). Framing o teoría del encuadre en comunicación. Orígenes, desarrollo y panorama actual en España (Framing theory in communication research. Origins, development and current situation in Spain). Revista Latina de Comunicación Social, (70), 423-450. http://www.revistalatinacs.org/070/paper/1053/23es.html
Arévalo Martínez, R. I., Del Prado Flores, R., & Góngora Cuevas, G. E. (2021). Nueva teoría estratégica de comunicación y biopolítica en México ante la COVID-19: Proyecto de salud solidaria ES POR TI (New strategic theory of communication and biopolitics in Mexico in the face of COVID-19: Solidarity health project ES POR TI). Razón Y Palabra, 25(110). https://doi.org/10.26807/rp.v25i110.1723
Arroba Bermeo, Í. R., Arroba Riofrio, C. A., Sánchez Morales, A. M., & Cabezas Rojas, L. S. (2024). Evolución de las técnicas de comunicación en la investigación en salud pública: una revisión crítica de la literatura (Evolution of techniques communication in research in public health: a review literature criticism). Revista Imaginario Social, 7(3). https://doi.org/10.59155/is.v7i3.219
Banks, S., Salovey, P., Greener, S., Rothman, A. J., Moyer, A., Beauvais, J., & Epel, E. (1995). The effects of message framing on mammography utilization. Health Psychology, 14(2), 178. https://doi.org/10.1037//0278-6133.14.2.178
Barik, S., Mohanty, S., Rout, D., Mohanty, S., Patra, A., & Mishra, A. (2020). Heart disease prediction using machine learning techniques. In G. Pradhan, S. Morris., & N. Nayak (Eds.), Advances in Electrical Control and Signal Systems: Select Proceedings of AECSS 2019 (pp. 879-888). Springer Singapore.
Bayraktar, Y., Isik, E., Isik, I., Ozyilmaz, A., Toprak, M., Kahraman Guloglu, F., & Aydin, S. (2022). Analyzing of Alzheimer’s disease based on biomedical and socio-economic approach using molecular communication, artificial neural network, and random forest models. Sustainability, 14(13), 7901. https://doi.org/10.3390/su14137901
Berger, P., & Luckmann, T. (1966). The social construction of reality: A treatise in the sociology of knowledge. Penguin Books.
Bhatti, S. J., Billinson, P. P., Cornell, L. A., Das, A., Gammon, C., Kelly, L. O., Yang, J., & Kristiansen, S. (2022). A country comparative analysis of international print media’s framing of the COVID-19 pandemic. International Journal of Communication, 16. https://ijoc.org/index.php/ijoc/article/view/17990
Borah, P. (2011). Conceptual issues in framing theory: A systematic examination of a decade's literature. Journal of Communication, 61(2), 246-263. https://doi.org/10.1111/j.1460-2466.2011.01539.x
Cafri, G., Li, L., Paxton, E. W., & Fan, J. (2018). Predicting risk for adverse health events using random forest. Journal of Applied Statistics, 45(12), 2279-2294. https://doi.org/10.1080/02664763.2017.1414166
Chong, D., & Druckman, J. N. (2007). Framing theory. Annual Review of Political Science, 10, 103-126. https://doi.org/10.1146/annurev.polisci.10.072805.103054
Cobb, M. D. (2005). Framing effects on public opinion about nanotechnology. Science Communication, 27(2), 221-239. https://doi.org/10.1177/1075547005281473
D’Angelo, P. (2012). Studying Framing in Political Communication with an Integrative Approach. American Behavioral Scientist, 56(3), 353-364. https://doi.org/10.1177/0002764211426332
Davis, P. R., & Russ, R. S. (2015). Dynamic framing in the communication of scientific research: Texts and interactions. Journal of Research in Science Teaching, 52(2), 221-252. https://doi.org/10.1002/tea.21189
Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51-58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x
Entman, R. M., Matthes, J., & Pellicano, L. (2009). Nature, sources, and effects of news framing. In K. Wahl-Jorgensen, & T. Hanitzsch (Eds.), The Handbook of Journalism Studies (pp. 195-210). Routledge.
Espinosa Marquez, A., Ríos Calleja, C. I., & Hermida Quezada, R. M. (2021). La crisis institucional del SARS-CoV-2 en México: percepciones y representaciones sociales (The institutional crisis of SARS-CoV-2 in Mexico: perceptions and social representations). Razón Y Palabra, 25(112), 72-95. https://doi.org/10.26807/rp.v25i112.1844
Evangeli, M., Kafaar, Z., Kagee, A., Swartz, L., & Bullemor-Day, P. (2013). Does message framing predict willingness to participate in a hypothetical HIV vaccine trial: An application of Prospect Theory. AIDS Care, 25(7), 910-914. https://doi.org/10.1080/09540121.2012.748163
Freimuth, V. S., & Quinn, S. C. (2004). The contributions of health communication to eliminating health disparities. American Journal of Public Health, 94(12), 2053-2055. https://doi.org/10.2105/ajph.94.12.2053
Gallagher, K. M., & Updegraff, J. A. (2012). Health message framing effects on attitudes, intentions, and behavior: A meta-analytic review. Annals of Behavioral Medicine, 43(1), 101-116. https://doi.org/10.1007/s12160-011-9308-7
Gamson, W. A., & Modigliani, A. (1989). Media discourse and public opinion on nuclear power: A constructionist approach. American Journal of Sociology, 95(1), 1-37. https://www.jstor.org/stable/2780405
García-González, J. (2023). Estrategias de comunicación en salud: Selección teórico-metodológica para vías de intervención en política pública (Health communication strategies: Theoretical-methodological selection for pathways of public policy intervention). Teseo.
Gisbert-Pérez, J., Martí-Vilar, M., & González-Sala, F. (2022). Prospect theory: A bibliometric and systematic review in the categories of psychology in Web of Science. Healthcare, 10(10), 2098. https://doi.org/10.3390/healthcare10102098
Glik, D. C. (2007). Risk communication for public health emergencies. Annual Review of Public Health, 28, 33-54. https://doi.org/10.1146/annurev.publhealth.28.021406.144123
Gobierno de México. (2021). Política nacional de vacunación contra el virus SARS-CoV-2 para la prevención de la COVID-19 en México: Documento rector (National vaccination policy against the SARS-CoV-2 virus for the prevention of COVID-19 in Mexico: Guiding document). https://www.seneam.gob.mx/gobmx/transparencia/seneamt/assets/files/covid/politica_nacional_vacunacion.pdf
Goffman, E. (2023). The presentation of self in everyday life. In W. Longhofer, & D. Winchester (Eds.), Social theory re-wired (pp. 450-459). Routledge. https://doi.org/10.4324/9781003320609
Guenther, L., Gaertner, M., & Zeitz, J. (2021). Framing as a concept for health communication: A systematic review. Health Communication, 36(7), 891-899. https://doi.org/10.1080/10410236.2020.1723048
Hameleers, M. (2021). Prospect theory in times of a pandemic: The effects of gain versus loss framing on risky choices and emotional responses during the 2020 coronavirus outbreak–Evidence from the US and the Netherlands. Mass Communication and Society, 24(4), 479-499. https://doi.org/10.1080/15205436.2020.1870144
Hameleers, M., & Boukes, M. (2021). The effect of gain-versus-loss framing of economic and health prospects of different COVID-19 interventions: An experiment integrating equivalence and emphasis framing. International Journal of Public Opinion Research, 33(4), 927-945. https://doi.org/10.1093/ijpor/edab027
Harrington, N. G., & Kerr, A. M. (2017). Rethinking risk: Prospect theory application in health message framing research. Health Communication, 32(2), 131-141. https://doi.org/10.1080/10410236.2015.1110004
Hung, S.-C., & Chang, S.-C. (2023). Framing the virus: The political, economic, biomedical, and social understandings of COVID-19 in Taiwan. Technological Forecasting and Social Change, 188, 122276. https://doi.org/10.1016/j.techfore.2022.122276
Ishikawa, H., & Kiuchi, T. (2010). Health literacy and health communication. BioPsychoSocial Medicine, 4, 1-5. https://doi.org/10.1186/1751-0759-4-18
Iwendi, C., Bashir, A. K., Peshkar, A., Sujatha, R., Chatterjee, J. M., Pasupuleti, S., Mishra, R., Pillai, S., & Jo, O. (2020). COVID-19 patient health prediction using boosted random forest algorithm. Frontiers in Public Health, 8, 357. https://doi.org/10.3389/fpubh.2020.00357
Jaakkola, M. (2021). Journalistic genre (Culture Coverage). DOCA - Database of Variables for Content Analysis, 1(2). https://doi.org/10.34778/2y
Jackins, V., Vimal, S., Kaliappan, M., & Lee, M. Y. (2021). AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes. The Journal of Supercomputing, 77, 5198-5219. https://doi.org/10.1007/s11227-020-03481-x
Johnson, R., Onwuegbuzie, A., & Turner, L. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112-133. https://doi.org/10.1177/1558689806298224
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. https://doi.org/10.2307/1914185
Khalilia, M., Chakraborty, S., & Popescu, M. (2011). Predicting disease risks from highly imbalanced data using random forest. BMC Medical Informatics and Decision Making, 11, 51. https://doi.org/10.1186/1472-6947-11-51
Kim, K. J., Shin, D. H., & Yoon, H. (2017). Information tailoring and framing in wearable health communication. Information Processing & Management, 53(2), 351-358. https://doi.org/10.1016/j.ipm.2016.11.005
Koziner, N. S. (2013). Antecedentes y fundamentos de la teoría del framing en comunicación (Antecedents and bases of framing theory in communication). Austral Comunicación, 2(1), 1–25. https://doi.org/10.26422/aucom.2013.0201.koz
Lakshmanaprabu, S. K., Shankar, K., Ilayaraja, M., Nasir, A. W., Vijayakumar, V., & Chilamkurti, N. (2019). Random forest for big data classification in the internet of things using optimal features. International Journal of Machine Learning and Cybernetics, 10, 2609-2618. https://doi.org/10.1007/s13042-018-00916-z
Lee, T. K., & Kim, H. K. (2024). Reconsidering Prospect Theory in Health Communication: Interplay of Certainty with Different Types of Framing. Asian Communication Research, 21(2), 175-194. https://op.ad.co.kr/lit/paper/show.do?ukey=189757&oid=@254452%7C7%7C21
Meyerowitz, B. E., & Chaiken, S. (1987). The effect of message framing on breast self-examination attitudes, intentions, and behavior. Journal of Personality and Social Psychology, 52(3), 500-510. https://doi.org/10.1037//0022-3514.52.3.500
Milutinović, I. (2021). Media framing of the COVID-19 pandemic in the transitional regime of Serbia: Exploring discourses and strategies. Media, Culture & Society, 43(7), 1311-1327. https://doi.org/10.1177/0163443720986003
Neuhauser, L., & Kreps, G. L. (2003). Rethinking communication in the e-health era. Journal of Health Psychology, 8(1), 7-23. https://doi.org/10.1177/1359105303008001426
Nisbet, M., Brossard, D., & Kroepsch, A. (2003). Framing science the stem cell controversy in an age of press/politics. Harvard International Journal of Press/Politics, 8(2), 36-70. https://doi.org/10.1177/1081180X02251047
Okorie, N. (2022). Global media framing, COVID-19, and the issue of vaccination: An empirical inquisition. Health Promotion Perspectives, 12(2), 186-191. https://doi.org/10.34172/hpp.2022.23
Pal, M. (2007). Random forest classifier for remote sensing classification. International Journal of Remote Sensing, 26(1), 217–222. https://doi.org/10.1080/01431160412331269698
Panyaatisin, K., Piyapasuntra, S., & Angkapanichkit, J. (2023). A Diachronic Analysis of Prospect Theory in the Thai Online News during the COVID-19 Pandemic: A Corpus-Driven Study. LEARN Journal: Language Education and Acquisition Research Network, 16(2), 784-800. https://so04.tci-thaijo.org/index.php/LEARN/article/view/267037
Phan, D., Nguyen, N., Pathirana, P. N., Horne, M., Power, L., & Szmulewicz, D. (2019). A random forest approach for quantifying gait ataxia with truncal and peripheral measurements using multiple wearable sensors. IEEE Sensors Journal, 20(2), 723-734. http://doi.org/10.1109/JSEN.2019.2943879
Piñeiro-Naval, V., & Mangana, R. (2018). Teoría del Encuadre: panorámica conceptual y estado del arte en el contexto hispano (Framing Theory: Conceptual Overview and State of the Art in the Hispanic Context). Estudios sobre el Mensaje Periodístico, 24(2), 1541–1557. https://doi.org/10.5209/ESMP.62233
Polk, E., & Diver, S. (2020). Situating the scientist: Creating inclusive science communication through equity framing and environmental justice. Frontiers in Communication, 5, 6. https://doi.org/10.3389/fcomm.2020.00006
Rothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121(1), 3-19. https://doi.org/10.1037/0033-2909.121.1.3
Rothman, A. J., Salovey, P., Antone, C., Keough, K., & Martin, C. D. (1993). The influence of message framing on intentions to perform health behaviors. Journal of Experimental Social Psychology, 29(5), 408-433. https://doi.org/10.1006/jesp.1993.1019
Rudd, R. E., Anderson, J. E., Oppenheimer, S., & Nath, C. (2023). Health literacy: An update of medical and public health literature. In J. Comings, B. Garner, & C. Smith (Eds.), Review of Adult Learning and Literacy, Volume 7 (pp. 175-204). Routledge. https://doi.org/10.4324/9781003417996
Ruhrmann, G., Guenther, L., Kessler, S. H., & Milde, J. (2013). Frames of scientific evidence: How journalists represent the (un)certainty of molecular medicine in science television programs. Public Understanding of Science, 24(6), 681-696. https://doi.org/10.1177/0963662513510643
Ruvalcaba Ledezma, J. C., Beltrán Rodríguez, M. G., Benítez Medina, A., Santiago Manzano, D., García Mendoza, F., Toribio Jiménez, J., Reynoso Vázquez, J., & Peña Cisneros, E. M. (2020). Una reflexión en torno a Atención Primaria en Salud y la pandemia por SARS COVID-2; COVID-19 en México ante la confusión en la comunicación (A reflection on Primary Health Care and the SARS COVID-2pandemic; COVID-19 in Mexico in the face of confusion in communication). JONNPR, 5(6), 631-643. https://doi.org/10.19230/jonnpr.3710
Sadaba, T. (2001). Origen, aplicación y límites de la teoría del encuadre (framing) en comunicación (Origin, Application and Limits of Framing Theory in Communication). Comunicación Y Sociedad, 14(2), 143–175. https://doi.org/10.15581/003.14.36373
Satia, J. A., Barlow, J., Armstrong-Brown, J., & Watters, J. L. (2010). Qualitative study to explore Prospect Theory and message framing and diet and cancer prevention-related issues among African American adolescents. Cancer Nursing, 33(2), 102-109. https://doi.org/10.1097/NCC.0b013e3181be5e8a
Scheufele, D. A. (1999). Framing as a theory of media effects. Journal of Communication, 49(1), 103-122. https://doi.org/10.1111/j.1460-2466.1999.tb02784.x
Scheufele, D. A., & Iyengar, S. (2017). The state of framing research: A call for new directions. In K. Kenski & K. H. Jamieson (Eds.), The Oxford handbook of political communication (pp. 619-632). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199793471.013.47
Schwartz, A., Goldberg, J., & Hazen, G. (2008). Prospect theory, reference points, and health decisions. Judgment and Decision Making, 3(2), 174-180. https://doi.org/10.1017/S1930297500001510
Simsekler, M. C. E., Qazi, A., Alalami, M. A., Ellahham, S., & Ozonoff, A. (2020). Evaluation of patient safety culture using a random forest algorithm. Reliability Engineering & System Safety, 204, 107186. https://doi.org/10.1016/j.ress.2020.107186
Solvoll, M., & Høiby, M. (2023). Framing of the COVID-19 pandemic: A case study of Norwegian broadcasting news-and debate programs. MedieKultur: Journal of Media and Communication Research, 38(73), 6-27. https://doi.org/10.7146/mk.v38i73.131934
Updegraff, J. A., & Rothman, A. J. (2013). Health message framing: Moderators, mediators, and mysteries. Social and Personality Psychology Compass, 7(9), 668-679. https://doi.org/10.1111/spc3.12056
van Dijk, T. (1990). Social cognition and discourse. In H. Giles, & W.P. Robinson (Eds.), Handbook of Language and Social Psychology (pp. 163-183). Wiley & Sons.
Van’t Riet, J., Cox, A. D., Cox, D., Zimet, G. D., De Bruijn, G. J., Van den Putte, B., De Vries, H., Werrij, M. Q., & Ruiter, R. A. C. (2016). Does perceived risk influence the effects of message framing? Revisiting the link between prospect theory and message framing. Health Psychology Review, 10(4), 447-459. https://doi.org/10.1080/17437199.2016.1176865
Villarreal Belenguer, G., Uresti Torres, A. D., & Inzunza Acedo, B. E. (2023). Análisis de sentimientos hacia el Dr. Hugo López-Gatell Ramírez en Twitter: El caso del COVID-19 en México (Dr. Hugo López-Gatell Ramírez’s sentiment analysis on Twitter: The case of covid-19 in Mexico). Anuario de Investigación de la Comunicación CONEICC, (30). https://anuario.coneicc.org.mx/index.php/anuarioconeicc/article/view/619
Wang, F., Wang, Y., Zhang, K., Hu, M., Weng, Q., & Zhang, H. (2021). Spatial heterogeneity modeling of water quality based on random forest regression and model interpretation. Environmental Research, 202, 111660. https://doi.org/10.1016/j.envres.2021.111660
Wang, W., Eberhardt, W., & Bromuri, S. (2024). Personalizing communication and segmentation with random forest node embedding. Expert Systems with Applications, 255(Part C), 124621. https://doi.org/10.1016/j.eswa.2024.124621
Yang, Y., & Hobbs, J. E. (2020). The power of stories: Narratives and information framing effects in science communication. American Journal of Agricultural Economics, 102(4), 1271-1296. https://doi.org/10.1002/ajae.12078
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