Redes sociales y desinformación en salud: el caso de facebook
DOI:
https://doi.org/10.62758/re.v2i3.106Palabras clave:
Facebook, Desinformación, Redes Sociales, Información en Salud, Salud Pública, COVID-19Resumen
La pandemia de COVID-19 puso de manifiesto la importancia de la calidad y la fiabilidad de la información de salud, especialmente la que consumen a diario los ciudadanos a través de Facebook y otras redes sociales digitales. Los estudios sobre el comportamiento informacional no pueden ignorar que el feed de noticias de Facebook emerge como un canal de información para muchos individuos, que leen y comparten información sobre salud con diferentes propósitos, incluyendo noticias falsas y fuentes de desinformación, ignorando los criterios básicos de evaluación o las estrategias de comprobación de hechos. Este artículo pretende analizar los resultados de la investigación sobre el comportamiento hacia la información de salud online a través de las redes sociales digitales, centrándose en Facebook, en el periodo más intenso de la crisis pandémica y el fenómeno de la desinformación. Se realiza una revisión bibliográfica a partir de 51 trabajos recientes (entre 2020-2021) con los siguientes objetivos: conocer el comportamiento informacional online en el contexto de los medios sociales; evaluar el panorama de la información de salud falsa o distorsionada que se transmite a través de Facebook; y, conocer algunas propuestas para contrarrestar la infodemia provocada por la pandemia. Los resultados muestran dos enfoques de investigación dominantes: el análisis del comportamiento informacional, sobre todo de las actividades de adquisición e información compartida; y el análisis del contenido publicado, centrado en la infodemia, el comportamiento social y las estrategias de comunicación de las autoridades de salud pública. A pesar de la preocupación por la desinformación, la investigación revela un escenario todavía incierto con vistas a encontrar soluciones para contrarrestar este grave problema de salud pública.
Citas
Ahmad, A. R., & Murad, H. R. (2020). The impact of social media on panic during the COVID-19 pandemic in iraqi kurdistan: Online questionnaire study. Journal of Medical Internet Research, 22(5). https://doi.org/10.2196/19556. DOI: https://doi.org/10.2196/19556
Anstead, N. (2021). What Do We Know and What Should We Do About Fake News? Sage. DOI: https://doi.org/10.4135/9781529738896
Apuke, O. D., & Omar, B. (2021). User motivation in fake news sharing during the COVID-19 pandemic: An application of the uses and gratification theory. Online Information Review, 45(1), 220–239. https://doi.org/10.1108/OIR-03-2020-0116. DOI: https://doi.org/10.1108/OIR-03-2020-0116
Armitage, L., Lawson, B. K., Whelan, M. E., & Newhouse, N. (2020). Paying SPECIAL consideration to the digital sharing of information during the COVID-19 pandemic and beyond. BJGP Open, 4(1). https://doi.org/10.3399/BJGPOPEN20X101072. DOI: https://doi.org/10.3399/bjgpopen20X101072
Asubiaro, T., Badmus, O., Ikenyei, U., Popoola, B., & Igwe, E. (2021). Exploring Sub-Saharan Africa’s Communication of COVID-19-Related Health Information on Social Media. Libri, 71(2), 123–139. https://doi.org/10.1515/libri-2020-0097. DOI: https://doi.org/10.1515/libri-2020-0097
Atehortua, N. A., & Patino, S. (2021). COVID-19, a tale of two pandemics: Novel coronavirus and fake news messaging. Health Promotion International, 36(2), 524–534. https://doi.org/10.1093/heapro/daaa140. DOI: https://doi.org/10.1093/heapro/daaa140
Biancovilli, P., Makszin, L., & Jurberg, C. (2021). Misinformation on social networks during the novel coronavirus pandemic: A quali-quantitative case study of Brazil. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-11165-1. DOI: https://doi.org/10.1186/s12889-021-11165-1
Bruns, A., Harrington, S., & Hurcombe, E. (2020). ‘Corona? 5G? or both?’: The dynamics of COVID-19/5G conspiracy theories on Facebook. Media International Australia, 177(1), 12–29. https://doi.org/10.1177/1329878X20946113. DOI: https://doi.org/10.1177/1329878X20946113
Cao, W., Zhang, X., Xu, K., & Wang, Y. (2016). Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy. Health Communication, 31(9), 1105–1114. https://doi.org/10.1080/10410236.2015.1045236. DOI: https://doi.org/10.1080/10410236.2015.1045236
Case, D. O. (2007). Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior (2nd ed.). Elsevier.
Cato, S., Iida, T., Ishida, K., Ito, A., Katsumata, H., McElwain, K. M., & Shoji, M. (2021). The bright and dark sides of social media usage during the COVID-19 pandemic: Survey evidence from Japan. International Journal of Disaster Risk Reduction, 54. https://doi.org/10.1016/j.ijdrr.2020.102034. DOI: https://doi.org/10.1016/j.ijdrr.2020.102034
Cooke, N. A. (2018). Fake news and alternative facts: Information literacy in a post-truth era. ALA Editions.
Cosentino, G. (2020). Social Media and the Post-Truth World Order: The Global Dynamics of Disinformation. Palgrave Pivot. DOI: https://doi.org/10.1007/978-3-030-43005-4
De Paor, S., & Heravi, B. (2020). Information literacy and fake news: How the field of librarianship can help combat the epidemic of fake news. The Journal of Academic Librarianship, 46(5), 102218. https://doi.org/10.1016/j.acalib.2020.102218. DOI: https://doi.org/10.1016/j.acalib.2020.102218
Dib, F., Mayaud, P., Chauvin, P., & Launay, O. (2021). Online mis/disinformation and vaccine hesitancy in the era of COVID-19: Why we need an eHealth literacy revolution. Human Vaccines & Immunotherapeutics, 1–3. https://doi.org/10.1080/21645515.2021.1874218. DOI: https://doi.org/10.1080/21645515.2021.1874218
Ebardo, R., de la Cuesta, J., Catedrilla, J., & Wibowo, S. (2020). Peer influence, risk propensity and fear of missing out in sharing misinformation on social media during the COVID-19 pandemic. 1, 351–359. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099455828&partnerID=40&md5=29e8cde1bec33084816601bbe0131810.
Facebook (2021a). An Update on Our Work to Keep People Informed and Limit Misinformation About COVID-19. Facebook. https://about.fb.com/news/2020/04/covid-19-misinfo-update/.
Facebook (2021b). Q2’21 Widely Viewed Content Report: What People See on Facebook | Transparency Center. https://transparency.fb.com/pt-pt/data/widely-viewed-content-report/.
Facebook Help Centre (2021). COVID-19 policy updates and protections. https://www.facebook.com/help/230764881494641/.
Furstrand, D., Pihl, A., Orbe, E. B., Kingod, N., & Søndergaard, J. (2021). Ask a doctor about coronavirus: How physicians on social media can provide valid health information during a pandemic. Journal of Medical Internet Research, 23(4). https://doi.org/10.2196/24586. DOI: https://doi.org/10.2196/24586
Galhardi, C. P., Freire, N. P., Minayo, M. C. S., & Fagundes, M. C. M. (2020). Fact or fake? An analysis of disinformation regarding the covid-19 pandemic in Brazil. Ciencia e Saude Coletiva, 25, 4201–4210. https://doi.org/10.1590/1413-812320202510.2.28922020. DOI: https://doi.org/10.1590/1413-812320202510.2.28922020
Guimarães, V. H. A., de Oliveira-Leandro, M., Cassiano, C., Marques, A. L. P., Motta, C., Freitas-Silva, A. L., de Sousa, M. A. D., Silveira, L. A. M., Pardi, T. C., Gazotto, F. C., Silva, M. V., Rodrigues, V., Rodrigues, W. F., & Oliveira, C. J. F. (2021). Knowledge about COVID-19 in Brazil: Cross-sectional web-based study. JMIR Public Health and Surveillance, 7(1). https://doi.org/10.2196/24756. DOI: https://doi.org/10.2196/24756
Hussain, A., Tahir, A., Hussain, Z., Sheikh, Z., Gogate, M., Dashtipour, K., Ali, A., & Sheikh, A. (2021). Artificial intelligence-enabled analysis of public attitudes on facebook and twitter toward COVID-19 vaccines in the United Kingdom and the United States: Observational study. Journal of Medical Internet Research, 23(4). https://doi.org/10.2196/26627. DOI: https://doi.org/10.2196/26627
Igbinovia, M. O., Okuonghae, O., & Adebayo, J. O. (2021). Information literacy competence in curtailing fake news about the COVID-19 pandemic among undergraduates in Nigeria. Reference Services Review, 49(1), 3–18. https://doi.org/10.1108/RSR-06-2020-0037. DOI: https://doi.org/10.1108/RSR-06-2020-0037
Islam, M. S., Kamal, A.-H. M., Kabir, A., Southern, D. L., Khan, S. H., Murshid Hasan, S. M., Sarkar, T., Sharmin, S., Das, S., Roy, T., Harun, M. G. D., Chughtai, A. A., Homaira, N., & Seale, H. (2021). COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence. PLoS ONE, 16(5 May 2021). https://doi.org/10.1371/journal.pone.0251605. DOI: https://doi.org/10.1371/journal.pone.0251605
Islam, M. S., Sarkar, T., Khan, S. H., Kamal, A.-H. M., Murshid Hasan, S. M., Kabir, A., Yeasmin, D., Islam, M. A., Chowdhury, K. I. A., Anwar, K. S., Chughtai, A. A., & Seale, H. (2020). COVID-19-Related infodemic and its impact on public health: A global social media analysis. American Journal of Tropical Medicine and Hygiene, 103(4), 1621–1629. https://doi.org/10.4269/ajtmh.20-0812. DOI: https://doi.org/10.4269/ajtmh.20-0812
Jacobs, W., Amuta, A. O., & Jeon, K. C. (2017). Health information seeking in the digital age: An analysis of health information seeking behavior among US adults. Cogent Social Sciences, 3(1), 1302785. https://doi.org/10.1080/23311886.2017.1302785. DOI: https://doi.org/10.1080/23311886.2017.1302785
Joy, I. I., & Idowu, A.-I. (2021). A Survey of COVID-19 Information Dissemination Behavior of Library and Information Professionals in Nigeria. Library Philosophy and Practice, 2021, 1–29. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107795264&partnerID=40&md5=1820022409d5e4178b093240bada478b.
Keller, S. N., Honea, J. C., & Ollivant, R. (2021). How social media comments inform the promotion of mask-wearing and other covid-19 prevention strategies. International Journal of Environmental Research and Public Health, 18(11). https://doi.org/10.3390/ijerph18115624. DOI: https://doi.org/10.3390/ijerph18115624
Koetsier, J. (2020). Global Online Content Consumption Doubled In 2020. Forbes. https://www.forbes.com/sites/johnkoetsier/2020/09/26/global-online-content-consumption-doubled-in-2020/.
Kothari, A., Foisey, L., Donelle, L., & Bauer, M. (2021). How do Canadian public health agencies respond to the COVID-19 emergency using social media: A protocol for a case study using content and sentiment analysis. BMJ Open, 11(4). https://doi.org/10.1136/bmjopen-2020-041818. DOI: https://doi.org/10.1136/bmjopen-2020-041818
Landi, S., Costantini, A., Fasan, M., & Bonazzi, M. (2021). Public engagement and dialogic accounting through social media during COVID-19 crisis: A missed opportunity? Accounting, Auditing and Accountability Journal. https://doi.org/10.1108/AAAJ-08-2020-4884. DOI: https://doi.org/10.1108/AAAJ-08-2020-4884
Lupton, D., & Lewis, S. (2021). Learning about COVID-19: A qualitative interview study of Australians’ use of information sources. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-10743-7. DOI: https://doi.org/10.1186/s12889-021-10743-7
Mansour, A. (2021). Affordances supporting mothers’ engagement in information-related activities through Facebook groups. Journal of Librarianship and Information Science, 53(2), 211–224. https://doi.org/10.1177/0961000620938106. DOI: https://doi.org/10.1177/0961000620938106
Mastley, C. P. (2017). Social Media and Information Behavior: A Citation Analysis of Current Research from 2008–2015. The Serials Librarian, 73(3–4), 339–351. https://doi.org/10.1080/0361526X.2017.1356420. DOI: https://doi.org/10.1080/0361526X.2017.1356420
McIntyre, L. C. (2018). Post-truth. MIT Press. DOI: https://doi.org/10.7551/mitpress/11483.001.0001
Mejova, Y., & Kalimeri, K. (2020). COVID-19 on Facebook Ads: Competing Agendas around a Public Health Crisis. 22–31. https://doi.org/10.1145/3378393.3402241. DOI: https://doi.org/10.1145/3378393.3402241
Neely, S., Eldredge, C., & Sanders, R. (2021). Health information seeking behaviors on social media during the covid-19 pandemic among american social networking site users: Survey study. Journal of Medical Internet Research, 23(6). https://doi.org/10.2196/29802. DOI: https://doi.org/10.2196/29802
Obiała, J., Obiała, K., Mańczak, M., Owoc, J., & Olszewski, R. (2021). COVID-19 misinformation: Accuracy of articles about coronavirus prevention mostly shared on social media. Health Policy and Technology, 10(1), 182–186. https://doi.org/10.1016/j.hlpt.2020.10.007. DOI: https://doi.org/10.1016/j.hlpt.2020.10.007
Obi-Ani, N. A., Anikwenze, C., & Isiani, M. C. (2020). Social media and the Covid-19 pandemic: Observations from Nigeria. Cogent Arts and Humanities, 7(1). https://doi.org/10.1080/23311983.2020.1799483. DOI: https://doi.org/10.1080/23311983.2020.1799483
Pang, P. C.-I., Verspoor, K., Chang, S., & Pearce, J. (2015). Conceptualising health information seeking behaviours and exploratory search: Result of a qualitative study. Health and Technology, 5(1), 45–55. https://doi.org/10.1007/s12553-015-0096-0. DOI: https://doi.org/10.1007/s12553-015-0096-0
Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention. Psychological Science, 31(7), 770–780. https://doi.org/10.1177/0956797620939054. DOI: https://doi.org/10.1177/0956797620939054
Pool, J., Fatehi, F., & Akhlaghpour, S. (2021). Infodemic, Misinformation and Disinformation in Pandemics: Scientific Landscape and the Road Ahead for Public Health Informatics Research. Studies in health technology and informatics, 281, 764–768. https://doi.org/10.3233/SHTI210278. DOI: https://doi.org/10.3233/SHTI210278
Preston, S., Anderson, A., Robertson, D. J., Shephard, M. P., & Huhe, N. (2021). Detecting fake news on Facebook: The role of emotional intelligence. PLoS ONE, 16(3 March). https://doi.org/10.1371/journal.pone.0246757. DOI: https://doi.org/10.1371/journal.pone.0246757
Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020). Social media and vaccine hesitancy: New updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines and Immunotherapeutics, 2586–2593. https://doi.org/10.1080/21645515.2020.1780846. DOI: https://doi.org/10.1080/21645515.2020.1780846
Radwan, E., Radwan, A., & Radwan, W. (2020). The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine. Heliyon, 6(12). https://doi.org/10.1016/j.heliyon.2020.e05807. DOI: https://doi.org/10.1016/j.heliyon.2020.e05807
Ramasubramanian, S., Preetha, S., Premavathy, D., & Prathap, L. (2020). Awareness on spread of misinformation and its effect on public with regard to covid-19. International Journal of Current Research and Review, 12(19 Special Issue), S-66. https://doi.org/10.31782/IJCRR.2020.SP08. DOI: https://doi.org/10.31782/IJCRR.2020.SP08
Revez, J., & Corujo, L. (2021). Librarians against fake news: A systematic literature review of library practices (Jan. 2018 - Sept. 2020). The Journal of Academic Librarianship, 47(2), 102304. https://doi.org/10.1016/j.acalib.2020.102304. DOI: https://doi.org/10.1016/j.acalib.2020.102304
Sakya, S. M., Scoy, L. J. V., Garman, J. C., Miller, E. L., Snyder, B., Wasserman, E., Chinchilli, V. M., & Lennon, R. P. (2021). The impact of COVID-19-related changes in media consumption on public knowledge: Results of a cross-sectional survey of Pennsylvania adults. Current Medical Research and Opinion, 37(6), 911–915. https://doi.org/10.1080/03007995.2021.1901679. DOI: https://doi.org/10.1080/03007995.2021.1901679
Sánchez, A. N. (2021). Disinformation and Covid-19: Quantitative analysis through the hoaxes debunked in Latin America and Spain. Estudios Sobre el Mensaje Periodistico, 27(3), 879–892. https://doi.org/10.5209/ESMP.72874. DOI: https://doi.org/10.5209/esmp.72874
Sharov, K. S. (2020). Adaptation to SARS-CoV-2 under stress: Role of distorted information. European Journal of Clinical Investigation, 50(9). https://doi.org/10.1111/eci.13294. DOI: https://doi.org/10.1111/eci.13294
Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S. (2021). From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Information Processing & Management, 58(2), 102440. https://doi.org/10.1016/j.ipm.2020.102440. DOI: https://doi.org/10.1016/j.ipm.2020.102440
Statista. (2021). Facebook MAU worldwide 2021. Statista. https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/.
Superio, D. L., Anderson, K. L., Oducado, R. M. F., Luceño, M. T., Palcullo, V. E. V., & Bendalian, M. V. T. (2021). The information-seeking behavior and levels of knowledge, precaution, and fear of college students in Iloilo, Philippines amidst the COVID-19 pandemic. International Journal of Disaster Risk Reduction, 62. https://doi.org/10.1016/j.ijdrr.2021.102414. DOI: https://doi.org/10.1016/j.ijdrr.2021.102414
Teixeira, M. M., & Junior, D. R. C. (2021). In the midst of the Coronavirus pandemic in Brazil, watch out for snowmen in the north and northeast regions! Post-truth under discussion. Praksis, 2, 128–146. https://doi.org/10.25112/RPR.V2I0.2554. DOI: https://doi.org/10.25112/rpr.v2i0.2554
Tripodi, F. B. (2021). ReOpen demands as public health threat: A sociotechnical framework for understanding the stickiness of misinformation. Computational and Mathematical Organization Theory. https://doi.org/10.1007/s10588-021-09339-8. DOI: https://doi.org/10.1007/s10588-021-09339-8
Visser, M., van Eck, N. J., & Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. Quantitative Science Studies, 2(1), 20–41. https://doi.org/10.1162/qss_a_00112. DOI: https://doi.org/10.1162/qss_a_00112
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. DOI: https://doi.org/10.1126/science.aap9559
Vraga, E. K., & Bode, L. (2021). Addressing COVID-19 misinformation on social media preemptively and responsively. Emerging Infectious Diseases, 27(2), 396–403. https://doi.org/10.3201/EID2702.203139. DOI: https://doi.org/10.3201/eid2702.203139
Wahidie, D., Yılmaz-Aslan, Y., Ölcer, S., Aksakal, T., & Brzoska, P. (2021). Reasons for rejecting official recommendations and measures concerning protection against SARS-CoV-2—A qualitative study of social media posts. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 64(5), 616–624. https://doi.org/10.1007/s00103-021-03315-y. DOI: https://doi.org/10.1007/s00103-021-03315-y
Wang, X., Shi, J., & Kong, H. (2021). Online Health Information Seeking: A Review and Meta-Analysis. Health Communication, 36(10), 1163–1175. https://doi.org/10.1080/10410236.2020.1748829. DOI: https://doi.org/10.1080/10410236.2020.1748829
Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic Literature Review on the Spread of Health-related Misinformation on Social Media. Social Science & Medicine, 240, 112552. https://doi.org/10.1016/j.socscimed.2019.112552. DOI: https://doi.org/10.1016/j.socscimed.2019.112552
Wilson, T. D. (2020). Exploring information behaviour: An introduction (Preliminary edition). Author edition. http://informationr.net/ir/bonusbook.html.
World Health Organization (2020a). Call for Action: Managing the Infodemic. https://www.who.int/news/item/11-12-2020-call-for-action-managing-the-infodemic.
World Health Organization (2020b). WHO launches a chatbot on Facebook Messenger to combat COVID-19 misinformation. https://www.who.int/news-room/feature-stories/detail/who-launches-a-chatbot-powered-facebook-messenger-to-combat-covid-19-misinformation.
World Health Organization (2020c). An ad hoc WHO technical consultation managing the COVID-19 infodemic: Call for action. World Health Organization. https://apps.who.int/iris/rest/bitstreams/1302999/retrieve.
World Health Organization (2021). Let’s flatten the infodemic curve. https://www.who.int/news-room/spotlight/let-s-flatten-the-infodemic-curve.
Zimdars, M., & McLeod, K. (Eds.) (2020). Fake News: Understanding Media and Misinformation in the Digital Age. MIT Press. DOI: https://doi.org/10.7551/mitpress/11807.001.0001
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2022 Revista EDICIC
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
La Asociación posee los derechos de autor de los textos que publica y adopta la licencia Creative Commons, CC BY 4.0 DEED Atribución 4.0 Internacional (https://creativecommons.org/
Usted es libre de:
- Compartir: copiar y redistribuir el material en cualquier medio o formato para cualquier propósito, incluso comercialmente.
- Adaptar: remezclar, transformar y construir a partir del material para cualquier propósito, incluso comercialmente.