Twitter, social services and covid-19. Analysis of the communicative interactions of the communicative interactions of the messages emitted by political parties, social political parties, social entities, and citizens
DOI:
https://doi.org/10.37467/revtechno.v14.4819Keywords:
Covid-19, Twitter, Social services, Citizen interactions, Political discourse, Network analysis, Social entitiesAbstract
The state of alarm caused by Covid-19 has mobilised the digital social participation of the population in social networks. Likewise, the relevance acquired by Social Services in the socio-health crisis has generated an unprecedented social debate on Twitter about the reality of these services. In the article, tweets about Social Services and Covid-19 published during the pandemic were analysed using Atlas.Ti software. The results show the precariousness of Social Services and the need for a change in the management and financing model of these services in order to guarantee social benefits.
References
Aguilar-Gallegos, N., Romero-García, L.E., Martínez-González, E.G., García-Sánchez, E.I., & Aguilar-Ávila, J. (2020). Dataset on dynamics of Coronavirus on Twitter. Data in Brief, 30, 1-14. https://doi.org/10.1016/j.dib.2020.105684
Álvarez-Martínez, M.T., & Polo, C. (2018). The Cost of Public Deficit in Spain: Increasing Tax Rates and Reducing Public Spending. Trimestre Económico, 85(340), 833-858. https://doi.org/10.20430/ete.v85i340.521
Arceo Vacas, A., Álvarez Sánchez, S., y Serrano Villalobos, O. (2020). Los debates electorales de 2015 y 2016 en España. Contexto de percepción y credibilidad para los jóvenes. Revista Latina de Comunicación Social, 76, 17-37. https://www.doi.org/10.4185/RLCS-2020-1435
Bayer, J., Ellison, N., Schoenebeck, S., Brady, E., Falk, & Emily B. (2018). Facebook in context(s): Measuring emotional responses across time and space. New Media & Society, 20(3), 1047-1067. https://doi.org/10.1177/1461444816681522
Castillo De Mesa, J. (2017). El Trabajo Social ante el reto de la transformación digital. Big data y redes sociales para la investigación e intervención social. Aranzadi.
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 Surveil, 6(2), 1-12. https://doi.org/10.2196/19273
Clement, J. (2020). Countries with the most Twitter users 2020. Statista. https://bit.ly/3eY5ozt
Europa Press. (2020). España, entre los que más sufrirán el impacto inicial de la crisis del coronavirus. Europa Press. https://bit.ly/3hTiVcU
Frank, O. (2002). Using centrality modeling in network surveys. Social Networks, 24(4), 385-394. https://doi.org/10.1016/S0378-8733(02)00014-X
Freeman, L.C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
Friese, S. (2020). Atlas.Ti 8 Windows. User Manual. Atlas.Ti Scientific Software Development. https://bit.ly/33fEmzE
Galera, C., y Juste, M. (2020). El impacto del coronavirus en las redes sociales españolas. Expansión. https://bit.ly/2KJmO4N
García Ortiz, M.D., Tornel Marín, M.T., y Santos Jaén, J.M. (2020). Un retorno inevitable al concepto de pobreza en España en tiempos de confinamiento por el COVID-19. La razón histórica. Revista hispanoamericana de Historia de las Ideas, (46), 63-76.
García Suárez, J., Trigueros Cervantes, C., y Rivera García, E. (2015). Twitter como recurso para evaluar el proceso de enseñanza universitaria. RUSC. Universities and Knowledge Society Journal, 12(3), 32-45. http://dx.doi.org/10.7238/rusc.v12i3.2092
Gerbaudo, P. (2012). Tweet and the streets: Social Media and Contemporary Activism. Pluto Press.
Gollust, S.E., Nagler, R., & Fowler, E.F. (2020). The Emergence of COVID-19 in the U.S.: A Public Health and Political Communication Crisis. Journal of health politics, policy and law, 1-17. https://doi.org/10.1215/03616878-8641506
González García, C. (2020). Jesús no solo está en la Eucaristía, también en los pobres. Ecclesia, (4033), 31-37.
Glaser, B., & Strauss, A. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine.
Gyftopoulos, S., Drosatos, G., Stamatelatos, G., & Efraimidis, Pavlos. (2020). A Twitter-based approach of news media impartiality in multipartite political scenes. Social Network Analysis and Mining, 10 (1), 1869-5469. https://doi.org/10.1007/s13278-020-00642-x
Hitlin, P., & Olmstead, K. (2018). The Science People See on Social Media. Pew Research Center. Science & Society. https://pewrsr.ch/3aJDRyj
Jiménez-Sotomayor, M.R., Gómez-Moreno, C., & Soto-Pérez-de-Celis, E. (2020). Coronavirus, Ageism, and Twitter: An Evaluation of Tweets about Older Adults and COVID-19. Journal of the American Geriatrics Society, 68(8), 1-5. https://doi.org/10.1111/jgs.16508
Kircaburun, K., Alhabash, S., Tosuntaş, S.B., & Griffiths, M. (2018). Uses and Gratifications of Problematic Social Media Use Among University Students: a Simultaneous Examination of the Big Five of Personality Traits, Social Media Platforms, and Social Media Use Motives. International Journal of Mental Health and Addiction, 18(3), 525–547. https://doi.org/10.1007/s11469-018-9940-6
Korhan, O., & Ersoy, M. (2016). Usability and functionality factors of the social network site application users from the perspective of uses and gratification theory. Qual Quant, 50(4), 1799-1816. https://doi.org/10.1007/s11135-015-0236-7
Lazer, D., Baum, M., Benkler, Y., Berinsky, A., Greenhill, K., Menczer, M., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S., Sunstein, C., Thorson, E., Watts, D., & Zittrain, J. (2018). The science of fake news. Science, 359(6380), 1094-1096. https://doi.org/10.1126/science.aao2998
Marco Penas, E. (2016). A Need to Increase Public Investment and Apply the Expenditure Rule. Revista Catalana De Dret Public, (53), 116-134. https://doi.org/10.2436/rcdp.i53.2016.2785
Massaad, E., & Cherfan, P. (2020). Social Media Data Analytics on Telehealth During the COVID-19 Pandemic. Cureus, 12(4), 1-7. https://doi.org/10.7759/cureus.7838
Muñoz-Justicia, J. (2005). Análisis cualitativo de datos textuales con Atlas.Ti 5., consultado el 30 de junio de 2020. Universitat Autònoma de Barcelona. https://bit.ly/2SeV0ZQ
Pentina, I., Basmanova, O., & Zhang, L. (2014). A cross-national study of Twitter users’ motivations and continuance intentions. Journal of Marketing Communications, 22(1), 6-55. https://doi.org/10.1080/13527266.2013.841273
Pérez-Dasilva, J.Á., Meso-Ayerdi, K., y 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
Phua, J., Jin, S., & Kim, J. (2017). Gratifications of using Facebook, Twitter, Instagram, or Snapchat to follow brands: The moderating effect of social comparison, trust, tie strength, and network homophily on brand identification, brand engagement, brand commitment, and membership intention. Telematics and Informatics, 34(1), 412-424. https://doi.org/10.1016/j.tele.2016.06.004
Ponce-K, I. (2012). Redes Sociales. Asteartea. https://bit.ly/39pwk7i
Pow, J., Gayen, K., Elliott, L., & Raeside, R. (2012). Understanding complex interactions using social network analysis. Journal of Clinical Nursing, 21(19), 2772-2779. https://doi.org/10.1111/j.1365-2702.2011.04036.x
Pulido-Rodríguez, C., Villarejo-Carballido, B., Redondo-Sama, G., Guo, M., Ramis, M., & Flecha, R. (2020). False news around COVID-19 circulated less on Sina Weibo than on Twitter. How to overcome false information? International and Multidisciplinary Journal of Social Sciences, 0(0), 1. https://doi.org/10.17583/rimcis.2020.5386
Roncallo-Dow, S., Córdoba-Hernández, A.M., y Durán Camero, M. (2019). Aylan Kurdi, Twitter y la indignación efímera. Revista Española de Investigaciones Sociológicas, (165), 121-142. http://dx.doi.org/10.5477/cis/reis.165.121
Ruehl, C.H., & Ingenhoff, D. (2015). Communication management on social networking sites. Journal of Communication Management, 19(3), 288-302. https://doi.org/10.1108/JCOM-04-2015-0025
Santorro, P. (2020). Coronavirus: la sociedad frente al espejo. Inter Press Service. https://bit.ly/318V7vO
Scheufele, D., & Krause, N. (2019). Science audiences, misinformation, and fake news. Proceedings of the National Academy of Sciences, 116(16), 7662-7669. https://doi.org/10.1073/PNAS.1805871115
Thelwall, M., & Levitt, J. (2020). Retweeting Covid-19 disability issues: Risks, support and outrage. El profesional de la información, 29(2), 1-6. https://doi.org/10.3145/epi.2020.mar.16
Vallejo, C. (2020). La búsqueda de la felicidad en época de coronavirus. Fundación para el conocimiento de Madrid. https://bit.ly/3duh1MG
Wang, X., Zou, C., Xie, Z., & Li, D. (2020). Public Opinions towards COVID-19 in California and New York on Twitter. MedRxiv: the preprint server for health sciences, 1-17. https://doi.org/10.1101/2020.07.12.20151936
Wilford, J., Osann, K., & Wenzel, L. (2018). Social Media Use Among Parents of Young Childhood Cancer Survivors. Journal of Oncology Navigation & Survivorship, 9(1), 10-17.
Woods, M., Macklin, R., & Lewis, G. (2016). Researcher reflexivity: exploring the impacts of CAQDAS use. International Journal of Social Research Methodology, 19(4), 385-404. https://doi.org/10.1080/13645579.2015.1023964
Zugasti, R., y Sabés, F. (2015). Los issues de los candidatos en Twitter durante la campaña de las elecciones generales de 2011. Revista de Estudios de Comunicación, 20(38), 161-178.
Downloads
Published
Issue
Section
License
All articles are published under an Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) license. Authors retain copyright over their work.
