Investigación sobre comunicación en COVID-19 y principales hallazgos

  1. Catalán-Matamoros, Daniel 1
  2. Langbecker, Andrea 1
  3. Elías, Carlos 1
  1. 1 UC3M MediaLab, Universidad Carlos III de Madrid, España
Journal:
Revista Española de Comunicación en Salud

ISSN: 1989-9882,  2444-6513

Year of publication: 2024

Issue: 0

Pages: 67-77

Type: Article

DOI: 10.20318/RECS.2024.8325 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista Española de Comunicación en Salud

Abstract

Research conducted by UC3M MediaLab during the PredCov project on communication during the pandemic is reviewed. A national survey was conducted with 1,800 people to examine the information consumption behavior about the pandemic in Spain. The results indicated that ideology and age are determining factors influencing the choice of different sources of information, as well as the perception towards vaccines. Additionally, the survey revealed that the main sources of information consulted during the pandemic were the traditional media and health authorities. With regard to media coverage, there was a strong focus on the COVID-19 vaccines, characterized by a mostly positive tone. More in-depth reports on vaccines were published compared to the pre-pandemic period. Also, public discourse on Twitter regarding vaccines was examined, identifying a greater number of contents associated with a positive attitude towards vaccination. The analysis was extended to public discourse on Twitter in Spanish, French, English and Portuguese, during crises related to the AstraZeneca vaccine and the Omicron variant. The project closed the gap in vaccine communication research in Spain.

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Bibliographic References

  • Alam, K. N., Khan, M. S., Dhruba, A. R., Khan, M. M., Al-Amri, J. F., Masud, M., & Rawashdeh, M. (2021). Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data. Computational and Mathematical Methods in Medicine, 2021, 1-15. https://doi.org/10.1155/2021/4321131
  • Ali, G. G. Md. N., Rahman, Md. M., Hossain, Md. A., Rahman, Md. S., Paul, K. C., Thill, J.-C., & Samuel, J. (2021). Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare, 9(9), 1110. https://doi.org/10.3390/healthcare9091110
  • Ansari, M. T. J., & Khan, N. A. (2021). Worldwide COVID-19 Vaccines Sentiment Analysis Through Twitter Content. Electronic Journal of General Medicine, 18(6), em329. https://doi.org/10.29333/ejgm/11316
  • Betsch, C., Renkewitz, F., & Haase, N. (2013). Effect of Narrative Reports about Vaccine Adverse Events and Bias-Awareness Disclaimers on Vaccine Decisions: A Simulation of an Online Patient Social Network. Medical Decision Making, 33(1), 14-25. https://doi.org/10.1177/0272989X12452342
  • Bonnevie, E., Gallegos-Jeffrey, A., Goldbarg, J., Byrd, B., & Smyser, J. (2021). Quantifying the rise of vaccine opposition on Twitter during the COVID-19 pandemic. Journal of Communication in Healthcare, 14(1), 12-19. https://doi.org/10.1080/17538068.2020.1858222
  • Brennen, J. S., Simon, F., Howard, P., & Nielsen, R. K. (2020, abril 7). Types, sources and claims of Covid-19 misinformation. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/types-sources-and-claims-covid-19-misinformation
  • Catalan-Matamoros, D. (2020). La comunicación sobre la pandemia del COVID-19 en la era digital: Manipulación informativa, fake news y redes sociales. Revista Española de Comunicación en Salud, Sup. 1, 5. https://doi.org/10.20318/recs.2020.5531
  • Catalan-Matamoros, D., & Langbecker, A. (2023a). How Does the Public Receive Information about Vaccines during the COVID-19 Pandemic? A Nationwide Cross-Sectional Study in Spain. Societies, 13(3), 62. https://doi.org/10.3390/soc13030062
  • Catalan-Matamoros, D., & Langbecker, A. (2023b). Cómo ha cambiado la comunicación durante la pandemia covid-19: La prensa española ante las vacunas. Estudios sobre el Mensaje Periodístico, 29(3), 555-566. https://doi.org/10.5209/esmp.84698
  • Catalan-Matamoros, D., Prada, E., & Langbecker, A. (2023). Fact or fiction: An experiment on how information sources and message framing influence vaccine risk perception. Profesional de la información, e320510. https://doi.org/10.3145/epi.2023.sep.10 Catalan-Matamoros, D., Prieto-Sanchez, I., & Langbecker, A. (2023). Crisis Communication during COVID-19: English, French, Portuguese, and Spanish Discourse of AstraZeneca Vaccine and Omicron Variant on Social Media. Vaccines, 11(6), 1100. https://doi.org/10.3390/vaccines11061100
  • Catalan-Matamoros, D., & Peñafiel-Saiz, C. (2020). The print media in times of anti-vaccine lobby: A content analysis of national newspaper reporting in Spain. Western Journal of Communication, in press.
  • Cerulus, L. (2020, abril 29). How anti-5G anger sparked a wave of arson attacks. Politico. https://www.politico.eu/article/coronavirus-5g-arson-attacks-online-theories/
  • Elías, C., & Catalan-Matamoros, D. (2020). Coronavirus in Spain: Fear of ‘Official’ Fake News Boosts WhatsApp and Alternative Sources. Media and Communication, 8(2), 462. https://doi.org/10.17645/mac.v8i2.3217
  • Engel-Rebitzer, E., Stokes, D. C., Buttenheim, A., Purtle, J., & Meisel, Z. F. (2021). Changes in legislator vaccine-engagement on Twitter before and after the arrival of the COVID-19 pandemic. Human Vaccines & Immunotherapeutics, 17(9), 2868-2872. https://doi.org/10.1080/21645515.2021.1911216
  • Freeman, D., Lambe, S., Yu, L.-M., Freeman, J., Chadwick, A., Vaccari, C., Waite, F., Rosebrock, L., Petit, A., Vanderslott, S., Lewandowsky, S., Larkin, M., Innocenti, S., McShane, H., Pollard, A. J., & Loe, B. S. (2023). Injection fears and COVID-19 vaccine hesitancy. Psychological Medicine, 53(4), 1185-1195. https://doi.org/10.1017/S0033291721002609
  • Hao, K ., & Basu, T. (2020, febrero 12). The coronavirus is the first true social-media “infodemic". https://www.technologyreview.com/2020/02/12/844851/the-coronavirus-is-the-first-true-social-media-infodemic/
  • Hu, T., Wang, S., Luo, W., Zhang, M., Huang, X., Yan, Y., Liu, R., Ly, K., Kacker, V., She, B., & Li, Z. (2021). Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective. Journal of Medical Internet Research, 23(9), e30854. https://doi.org/10.2196/30854
  • Langbecker, A., & Catalan-Matamoros, D. (2023a). Las fuentes de información sobre vacunas en El País y El Mundo: El efecto covid-19. Palabra Clave, 26(3), 1-30. https://doi.org/10.5294/pacla.2023.26.3.9
  • Langbecker, A., & Catalan-Matamoros, D. (2023b). Social media and covid-19 vaccination: analysis of user behaviour in Spain. Perspectivas de la comunicación 16(2), 1-25. doi: 10.56754/0718-4867.2023.3306.
  • Langbecker, A., Catalan-Matamoros, D., & Prada, E. (2023). How has COVID-19 impacted the public discourse around vaccines? A comparative analysis of Twitter. Communication & Society, Under Review.
  • Langbecker, A., & Catalan-Matamoros, D. (2021). In the era of disbeliefs and uncertainties: News coverage of vaccines in Portuguese newspapers. Saúde e Sociedade, 30(3), e200929. https://doi.org/10.1590/s0104-12902021200929
  • Larson, H. J., Cooper, L. Z., Eskola, J., Katz, S. L., & Ratzan, S. (2011). Addressing the vaccine confidence gap. The Lancet, 378(9790), 526-535. https://doi.org/10.1016/S0140-6736(11)60678-8
  • Larson, H. J., Jarrett, C., Eckersberger, E., Smith, D. M. D., & Paterson, P. (2014). Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: A systematic review of published literature, 2007– 2012. Vaccine, 32(19), 2150-2159. https://doi.org/10.1016/j.vaccine.2014.01.081
  • Lewis, K. (2020, marzo 26). 5G is not accelerating the spread of the new coronavirus. https://fullfact.org/health/5G-not-accelerating-coronavirus/
  • MacDonald, N. E. (2015). Vaccine hesitancy: Definition, scope and determinants. Vaccine, 33(34), 4161-4164. https://doi.org/10.1016/j.vaccine.2015.04.036
  • Malecki, K. M. C., Keating, J. A., & Safdar, N. (2021). Crisis Communication and Public Perception of COVID-19 Risk in the Era of Social Media. Clinical Infectious Diseases, 72(4), 697-702. https://doi.org/10.1093/cid/ciaa758
  • Paul, E., Steptoe, A., & Fancourt, D. (2021). Attitudes towards vaccines and intention to vaccinate against COVID-19: Implications for public health communications. The Lancet Regional Health - Europe, 1, 100012. https://doi.org/10.1016/j.lanepe.2020.100012
  • Prada, E., Langbecker, A., & Catalan-Matamoros, D. (2023). Public discourse and debate about vaccines in the midst of the covid-19 pandemic: A qualitative content analysis of Twitter. Vaccine, 41(20), 3196-3203. https://doi.org/10.1016/j.vaccine.2023.03.068
  • Quian, A., Elías, C., & Soengas-Pérez, X. (2023). Consumption of information and citizen’s perception of the sources consulted during the Covid-19 pandemic: A study of the situation based on opinion polls. Profesional de la información, e320413. https://doi.org/10.3145/epi.2023.jul.13
  • Rauchfleisch, A., Vogler, D., & Eisenegger, M. (2021). Public Sphere in Crisis Mode: How the COVID-19 Pandemic Influenced Public Discourse and User Behaviour in the Swiss Twitter-sphere. Javnost - The Public, 28(2), 129- 148. https://doi.org/10.1080/13183222.2021.1923622
  • Salmon, D. A., Dudley, M. Z., Glanz, J. M., & Omer, S. B. (2015). Vaccine Hesitancy. American Journal of Preventive Medicine, 49(6), S391-S398. https://doi.org/10.1016/j.amepre.2015.06.009
  • Thorpe, A., Fagerlin, A., Butler, J., Stevens, V., Drews, F. A., Shoemaker, H., Riddoch, M. S., & Scherer, L. D. (2022). Communicating about COVID-19 vaccine development and safety. PLOS ONE, 17(8), e0272426. https://doi.org/10.1371/journal.pone.0272426
  • Tomeny, T. S., Vargo, C. J., & El-Toukhy, S. (2017). Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15. Social Science & Medicine, 191, 168-175. https://doi.org/10.1016/j.socscimed.2017.08.041
  • Wallace, J. (2018). Modelling Contemporary Gatekeeping: The rise of individuals, algorithms and platforms in digital news dissemination. Digital Journalism, 6(3), 274-293. https://doi.org/10.1080/21670811.2017.1343648
  • Wicke, P., & Bolognesi, M. M. (2021). Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time. Frontiers in Communication, 6, 651997. https://doi.org/10.3389/fcomm.2021.651997
Data source: Dialnet