nformative treatment and media competencies on COVID-19 in Ecuador
DOI:
https://doi.org/10.26441/RC20.1-2021-A8Keywords:
CoViD-19, coronavirus, pandemic, infodemic, media, Web 2.0, communication policy, public opinión, media literacy, communication strategiesAbstract
Information overload, misinformation and false news have led to the need to strengthen media literacy. With the global health emergency decree produced by the appearance of CoViD-19, users of traditional and digital media are in a constant search for information on the subject. This study analyzes the communication practices of media users and their perception of the information they receive about the coronavirus. To this end, quantitative research was done with the help of a self-administered questionnaire to a total of 2,090 Ecuadorians. In addition, use is made of the technique of reverse engineering of data to analyze the topics and traditional and digital platforms that citizens frequently access to get information. The results indicate that there is a preference for the information published on Web 2.0 platforms: topics related to health guidelines and a possible vaccine to face the disease. Also, a loss of confidence in traditional media and government sources is identified, while citizens give greater credibility to news shared by friends and family. Therefore, it is concluded that it is necessary to develop strategies focused on the diversity of social groups. This can be done by working among health organisms, scientists from Ecuadorian universities, media (traditional - digital) and citizen participation (prosumer) through interactive communicational proposals. These will make it possible to counteract the infodemic through media literacy and digital responsibility to position information based on scientific evidence.
References
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), 1-9. https://doi.org/10.2196/19016 DOI: https://doi.org/10.2196/19016
Ahmad, A. R., Murad, H. R., & Gardner, M. R. (2020). The Impact of Social Media on Hyped Panic during the COVID-19 Pandemic: The Iraqi Kurdistan Case. JMIR Mental Health, 22, 1–11. https://doi.org/10.2196/19556 DOI: https://doi.org/10.2196/preprints.19556
Ahmed, W., Vidal-Alaball, J., Downing, J., & Seguí, F. L. (2020). COVID-19 and the 5G conspiracy theory: Social network analysis of twitter data. Journal of Medical Internet Research, 22(5), 1–9. https://doi.org/10.2196/19458 DOI: https://doi.org/10.2196/19458
Andreu-Sánchez, C., & 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), 1–11. https://doi.org/10.3145/epi.2020. may.09 DOI: https://doi.org/10.3145/epi.2020.may.09
Aguaded, I., & Romero-Rodríguez, L. M. (2015). Mediamorfosis y desinformación en la infoesfera: Alfabetización mediática, digital e informacional ante los cambios de hábitos DOI: https://doi.org/10.14201/eks20151614457
de consumo informativo. Education in the Knowledge Society, 16(1),44-57. https://bit.
ly/3b7qDPe
BBC News (2020, 3 de agosto). Coronavirus: el mapa que muestra el número de infectados y muertos en el mundo por covid-19. https://bbc.in/32jwk8n
Bonnet, J. L., & Rosenbaum, J. E. (2020). “Fake news,” misinformation, and political bias: Teaching news literacy in the 21st century. Communication Teacher, 34(2), 103–108. https://doi.or g/10.1080/17404622.2019.1625938 DOI: https://doi.org/10.1080/17404622.2019.1625938
Brainard, J., & 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 DOI: https://doi.org/10.1177/0037549719885021
Casero-Ripolles, A. (2020). Impact of CoViD-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak. El Profesional de La Información, 29(2), 1–11. https://doi.org/10.3145/epi.2020.mar.23 DOI: https://doi.org/10.3145/epi.2020.mar.23
Catalina-García, B., Sousa, J., & Silva-Sousa, L.-C. (2019). Consumo de noticias y percepción de fake news entre estudiantes de Comunicación de Brasil, España y Portugal. Revista De Comunicación, 18(2), 93-115. https://doi.org/10.26441/RC18.2-2019-A5 DOI: https://doi.org/10.26441/RC18.2-2019-A5
Center for Systems Science and Engineering CSSE. (2020). COVID-19 Dashboard. Johns Hopkins University (JHU). https://bit.ly/3mcEebH
Cetina-Presuel, R., & Martínez-Sierra, J. (2019). Algoritmos y noticias: Redes sociales como editores y distribuidores de noticias. Revista De Comunicación, 18(2), 261-285. https://doi. DOI: https://doi.org/10.26441/RC18.2-2019-A13
org/10.26441/RC18.2-2019-A13
Chen, E., Lerman, K., & Ferrara, E. (2020). Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance, 6(2), 1-9. https://doi.org/10.2196/19273 DOI: https://doi.org/10.2196/19273
Chesser, A., Drassen-Ham, A., & Keene-Woods, N. (2020). Assessment of COVID-19 Knowledge Among University Students: Implications for Future Risk Communication Strategies. Health Education & Behavior : The Official Publication of the Society for Public Health Education, 47(4) 540–543. https://doi.org/10.1177/1090198120931420 DOI: https://doi.org/10.1177/1090198120931420
Effenberger, M., Kronbichler, A., Shin, J. il, Mayer, G., Tilg, H., & Perco, P. (2020).
Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis. International Journal of Infectious Diseases, 95, 192–197. https://doi.org/10.1016/j. ijid.2020.04.033 DOI: https://doi.org/10.1016/j.ijid.2020.04.033
Eysenbach, G. (2020). How to Fight an Infodemic: The Four Pillars of Infodemic Management. Journal of Medical Internet Research, 22(6), 1-6. https://doi.org/10.2196/21820 DOI: https://doi.org/10.2196/21820
Hernández-García, I., & Giménez-Júlvez, T. (2020). Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study. JMIR Public Health and Surveillance, 6(2), 1-11. https://doi.org/10.2196/18717 DOI: https://doi.org/10.2196/18717
Hua, J., & Shaw, R. (2020). Corona virus (CoViD-19) “infodemic” and emerging issues through a data lens: The case of China. International Journal of Environmental Research and Public Health, 17(7), 1-12. https://doi.org/10.3390/IJERPH17072309 DOI: https://doi.org/10.3390/ijerph17072309
Kouzy, R., Abi Jaoude, J., Kraitem, A., el Alam, M. B., Karam, B., Adib, E., Zarka, J., Traboulsi, C., Akl, E., & Baddour, K. (2020). Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus, 12(3), 1-9. https://doi.org/10.7759/cureus.7255 DOI: https://doi.org/10.7759/cureus.7255
Lázaro-Rodríguez, P., & Herrera-Viedma, E. (2020). Noticias sobre CoViD-19 y 2019-nCoV en medios de comunicación de España : el papel de los medios digitales en tiempos de confinamiento News on CoViD-19 and 2019-nCoV in Spanish media : The role of digital media in times of confinement. IweTel, 1–11. https://doi.org/10.3145/epi.2020.may.02 DOI: https://doi.org/10.3145/epi.2020.may.02
Liu, Q., Zheng, Z., Zheng, J., Chen, Q., Liu, G., Chen, S., Chu, B., Zhu, H., Akinwunmi, Ba., Huang, J., Zhang, C. J. P., & Ming, W. K. (2020). Health communication through news media during the early stage of the CoViD-19 outbreak in China: Digital topic modeling approach. Journal of Medical Internet Research, 22(4), 1-12. https://doi.org/10.2196/19118 DOI: https://doi.org/10.2196/19118
Lotero-Echeverri, G., Romero-Rodríguez, L. M., & Pérez-Rodríguez, M. A. (2018). Fact-checking vs. Fake news: Periodismo de confirmación como recurso de la competencia mediática contra la desinformación. index.comunicación, 8(2), 295-316.
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. El Profesional de La Información, 29(3), 1–12. https://doi.org/10.3145/epi.2020.may.12 DOI: https://doi.org/10.3145/epi.2020.may.12
Mejia, C. R., Ticona, D., Rodríguez-Alarcon, J. F., Campos-Urbina, A. M., Catay-Medina, J.
B., Porta-Quinto, T., Garayar-Peceros, H., Ignacio-Quinte, C., Esteban, R. F. C., Ruiz Mamani, P. G., & Tovani-Palone, M. R. (2020). The media and their informative role in the face of the coronavirus disease 2019 (COVID-19): Validation of fear perception and magnitude of the issue (MED-COVID-19 ). Electronic Journal of General Medicine, 17(6), 1-6. https://doi.org/10.29333/ejgm/7946 DOI: https://doi.org/10.29333/ejgm/7946
Moreno, A., Fuentes-Lara, C., & Navarro, C. (2020). CoViD-19 communication management in Spain: Exploring the effect of information-seeking behavior and message reception in public’s evaluation. El Profesional de La Información, 29(4), 1–16. https://doi.org/10.3145/epi.2020.jul.02 DOI: https://doi.org/10.3145/epi.2020.jul.02
Naeem, S. B., & Bhatti, R. (2020). The Covid-19 ‘infodemic’: a new front for information professionals. Health Information & Libraries Journal, 24(1), 62-68. https://doi.org/10.1111/hir.12311 DOI: https://doi.org/10.1111/hir.12311
Odriozola-Chéné, J., Díaz-Noci, J., Serrano-Tellería, A., Pérez-Arozamena, R., Pérez-Altable, L., Linares-Lanzman, J., García-Carretero, L., Calvo-Rubio, L. M., Torres-Mendoza, M., & Antón-Bravo, A. (2020). Inequality in times of pandemics: How online media are starting to treat the economic consequences of the coronavirus crisis. El Profesional de La Información, 29(4), 1–16. https://doi.org/10.3145/epi.2020.jul.03 DOI: https://doi.org/10.3145/epi.2020.jul.03
Organización Mundial de la Salud (Ed.) (2020). Actualización de a la Covid-19. https://bit.
ly/332vHzh
Park, H. W., Park, S., & Chong, M. (2020). Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea. Journal of Medical Internet Research, 22(5), 1-11. https://doi.org/10.2196/18897 DOI: https://doi.org/10.2196/18897
Pérez-Dasilva, J.-A., Meso-Ayerdi, K., & Mendiguren-Galdospín, T. (2020). Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter. El Profesional de La Información, 29(3), 1–22. https://doi.org/10.3145/epi.2020.may.08 DOI: https://doi.org/10.3145/epi.2020.may.08
Pulido, C. M., Ruiz-Eugenio, L., Redondo-Sama, G., & Villarejo-Carballido, B. (2020). A New Application of Social Impact in Social Media for Overcoming Fake News in Health. International Journal of Environmental Research and Public Health, 17(7), 24-30. https://doi.org/10.3390/ijerph17072430 DOI: https://doi.org/10.3390/ijerph17072430
Pulido, C. M., Villarejo-Carballido, B., Redondo-Sama, G., & Gómez, A. (2020).
COVID-19 infodemic: More retweets for science-based information on coronavirus
than for false information. International Sociology, 35(4), 377–392. https://doi.
org/10.1177/0268580920914755
Rinaldi, L. (2020). La task force per le fake news sul CoViD-19 tra protezione del diritto all’informazione e ipotesi di censura del web. BioLaw Journal, 8, 653–665. https://bit.ly/3jMfJQt
Rovetta, A., & Bhagavathula, A. S. (2020). COVID-19 -related web search behaviors and infodemic attitudes in Italy: Infodemiological study. Journal of Medical Internet Research, 22(5), 1–10. https://doi.org/10.2196/19374 DOI: https://doi.org/10.2196/preprints.19374
Romero-Rodríguez, L., de-Casas-Moreno, P., & Torres-Toukoumidis, A. (2016). Dimensions and indicators of the information quality in digital media. [Dimensiones e indicadores de la calidad informativa en los medios digitales]. Comunicar, 49, 91-100. https://doi.org/10.3916/C49-2016-09 DOI: https://doi.org/10.3916/C49-2016-09
Romero-Rodríguez, L., de-Casas-Moreno, P., Caldeiro-Pedreira, M. (2018). Desinformación e infoxicación en las cuartas pantallas. En Ignacio Aguaded (Ed.), Competencias mediáticas en medios digitales emergentes (pp. 73-92). Comunicación Social ediciones y publicaciones.
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 . El Profesional de La Información, 29(3), 2020–2022. https://doi.org/10.3145/epi.2020.may.15 DOI: https://doi.org/10.3145/epi.2020.may.15
Sampieri, R. H. (2018). Metodología de la investigación: las rutas cuantitativa, cualitativa y mixta. McGraw Hill.
Sterrett, D., Malato, D., Benz, J., Kantor, L., Tompson, T., Rosenstiel, T., Sonderman, J., & Loker, K. (2019). Who Shared It?: Deciding What News to Trust on Social Media. Digital Journalism, 7(6), 783–801. https://doi.org/10.1080/21670811.2019.1623702 DOI: https://doi.org/10.1080/21670811.2019.1623702
Strzelecki, A., & Rizun, M. (2020). Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China. International Journal of Online and Biomedical Engineering (IJOE), 16(04), 139-146. https://doi.org/10.3991/ijoe.v16i04.13531 DOI: https://doi.org/10.3991/ijoe.v16i04.13531
Tangcharoensathien, V., Calleja, N., Nguyen, T., Purnat, T., D’Agostino, M., Garcia Saiso, S., Landry, M., Rashidian, A., Hamilton, C., AbdAllah, A., Ghiga, I., Hill, A., Hougendobler, D., van Andel, J., Nunn, M., Brooks, I., Sacco, P. L., de Domenico, M., Mai, P., … Briand, S. (2020).
A Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. Journal of Medical Internet Research, 22, 1–8. https://doi.org/10.2196/19659 DOI: https://doi.org/10.2196/19659
Toffler, A. (1980). La tercera ola. William Morrow
Torres-Toukoumidis, Á.; Romero-Rodríguez, L.M.; de-Casas-Moreno, P. y Aguaded, I. (2017). Construcción del discurso bélico desde las agencias internacionales de noticias: Estudio de Caso Atentados del 13 de noviembre de 2015. Revista Mediterránea de Comunicación/Mediterranean Journal of Communication, 8(1), 121- 135. https://www.doi.org/10.14198/MEDCOM2017.8.1.9 DOI: https://doi.org/10.14198/MEDCOM2017.8.1.9
Tuccori, M.; Convertino, I.; Ferraro, S.; Cappello, E.; Valdiserra, G.; Focosi, D.; Corrado, B.
(n.d.). The Impact of the COVID-19 “Infodemic” on Drug-Utilization Behaviors: Implications for Pharmacovigilance. Drug Safety, 4, 699–709. https://doi.org/10.1007/s40264-020-00965-w DOI: https://doi.org/10.1007/s40264-020-00965-w
Portal de Revistas de la Universidad de Piura.