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

Authors

  • Alfonso Chaves-Montero Centro de Investigación, Pensamiento Contemporáneo e Innovación para el Desarrollo Social de la Universidad de Huelva

DOI:

https://doi.org/10.37467/revtechno.v14.4819

Keywords:

Covid-19, Twitter, Social services, Citizen interactions, Political discourse, Network analysis, Social entities

Abstract

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 DOI: 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 DOI: 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 DOI: https://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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: https://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 DOI: 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. DOI: https://doi.org/10.1097/00006199-196807000-00014

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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: https://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 DOI: 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 DOI: 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 DOI: 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 DOI: 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 DOI: 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.

Published

2023-02-28

How to Cite

Chaves-Montero, A. . (2023). 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. TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional De Tecnología, Ciencia Y Sociedad, 14(1), 1–13. https://doi.org/10.37467/revtechno.v14.4819