Qualitative analysis of the twitter account of the Federation of Associations of Midwives of Spain
Abstract
Introduction: Twitter is the social network with the most users in which the Federation of Associations of Midwives of Spain (FAME) publishes content, and by studying your account, we can explain the characteristics and operation of FAME, in addition to understanding their interests through of the content analysis of your publications.
Methodology: A qualitative ethnographic study was carried out to describe and explain the elements that make up the social network system built by FAME through twitter, taking into account its evolution, structure and interactions through the published tweets.
Results: 358 tweets were obtained, classified in three coding matrices related to: Associations of Midwives of Spain, Mentions of the FAME twitter account and Categories of the FAME tweets.
Discussion: Social activity on Twitter was intense in the first years and scarce in the last due to the COVID-19 pandemic, unlike most scientific associations. FAME uses its account to disseminate information related to women's health and the visibility of midwives, relating it to current issues.
Conclusions: Due to their growing impact, social networks should serve as information systems between science and society, and professionals should know and use these types of tools. It is necessary to have sources of information that reflect the health of women and the FAME demonstrated its knowledge of this fact through its tweets published during the period analyzed.
Downloads
References
Muñoz-Sastre D, Rodrigo-Martín L, Rodrigo-Martín I. The Role of Twitter in the WHO’s Fight against the Infodemic. Int J Environ Res Public Health. 15 de noviembre de 2021;18(22):11990.
DataReportal – Global Digital Insights [Internet]. DataReportal – Global Digital Insights. [citado 29 de noviembre de 2021]. Disponible en: https://datareportal.com
Qiu L, Lin H, Ramsay J, Yang F. You are what you tweet: Personality expression and perception on Twitter. J Res Personal. 1 de diciembre de 2012;46(6):710-8.
Oulasvirta A, Lehtonen E, Kurvinen E, Raento M. Making the ordinary visible in microblogs. Pers Ubiquitous Comput. 1 de abril de 2010;14(3):237-49.
Java A, Song X, Finin T, Tseng B. Why we twitter: understanding microblogging usage and communities. En: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis [Internet]. New York, NY, USA: Association for Computing Machinery; 2007 [citado 29 de noviembre de 2021]. p. 56-65. (WebKDD/SNA-KDD ’07). Disponible en: https://doi.org/10.1145/1348549.1348556
Naaman M, Boase J, Lai C-H. Is it really about me? message content in social awareness streams. En: Proceedings of the 2010 ACM conference on Computer supported cooperative work [Internet]. New York, NY, USA: Association for Computing Machinery; 2010 [citado 29 de noviembre de 2021]. p. 189-92. (CSCW ’10). Disponible en: https://doi.org/10.1145/1718918.1718953
Burton SH, Tanner KW, Giraud-Carrier CG, West JH, Barnes MD. «Right time, right place» health communication on Twitter: value and accuracy of location information. J Med Internet Res. 15 de noviembre de 2012;14(6):e156.
Khan GF, Yoon HY, Park HW. Social media communication strategies of government agencies: Twitter use in Korea and the USA. Asian J Commun. 2 de enero de 2014;24(1):60-78.
Leone S, Delli Paoli A, Senatore D. Social Media Communication in Central Governments: The Case of Twitter Activity of Italian Ministries. J Commun Res. 1 de enero de 2015;7:413-29.
Vallespín (Coord.) F. TELOS 89: Redes sociales y democracia. Fundación Telefónica; 2011. 179 p.
Zimmer M, Proferes NJ. A topology of Twitter research: disciplines, methods, and ethics. Axel Bruns and Dr Katrin Weller D, editor. Aslib J Inf Manag. 1 de enero de 2014;66(3):250-61.
Muñoz-Sastre D, Rodrigo-Martín I, Rodrigo-Martín L. The role of social networks in cyber-diplomacy in the context of 5G. JANUSNET E-J Int Relat Themat Doss Int Relat Soc Netw. julio de 2021;4-20.
Esteban FJF, Fajardo EG, Burdach M. El análisis de contenido de las comunicaciones. :113.
Pericás JMV. El uso de la teoría de redes sociales en la representación y análisis de textos. De las redes semánticas al análisis de redes textuales. Empiria Rev Metodol Cienc Soc. 2005;(10):129-50.
Nguyen A, Catalan D. Digital Mis/Disinformation and Public Engagment with Health and Science Controversies: Fresh Perspectives from Covid-19. Media Commun. 25 de junio de 2020;8(2):323-8.
Fernández González L, Bravo Valenzuela P, Fernández González L, Bravo Valenzuela P. Expertos y redes sociales: ¿Cómo comunicarnos en tiempos de pandemia? Rev Médica Chile. abril de 2020;148(4):560-1.
Gough A, Hunter RF, Ajao O, Jurek A, McKeown G, Hong J, et al. Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages. JMIR Public Health Surveill. 23 de marzo de 2017;3(1):e14.
Bode L, Vraga EK. See Something, Say Something: Correction of Global Health Misinformation on Social Media. Health Commun. septiembre de 2018;33(9):1131-40.
Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation. diciembre de 2020;8(4):85.
Breland JY, Quintiliani LM, Schneider KL, May CN, Pagoto S. Social Media as a Tool to Increase the Impact of Public Health Research. Am J Public Health. diciembre de 2017;107(12):1890-1.
Serri M. [Social networks and Health]. Rev Chil Infectologia Organo Of Soc Chil Infectologia. 2018;35(6):629-30.
Sutton J. Health Communication Trolls and Bots Versus Public Health Agencies’ Trusted Voices. Am J Public Health. octubre de 2018;108(10):1281-2.
Pérez-Dasilva J-A, Meso-Ayerdi K, Mendiguren-Galdospín T. Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter. Prof Inf [Internet]. 8 de mayo de 2020 [citado 29 de noviembre de 2021];29(3). Disponible en: https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/epi.2020.may.08
Fernández FR. Comunicación y noticias falsas en relación al COVID-19: algunas reflexiones sobre la información, la desinformación y propuestas de mejora. Rev Esp Comun EN SALUD. 16 de julio de 2020;253-64.
Kouzy R, Abi Jaoude J, Kraitem A, El Alam MB, Karam B, Adib E, et al. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus. 13 de marzo de 2020;12(3):e7255.
Rosenberg H, Syed S, Rezaie S. The Twitter pandemic: The critical role of Twitter in the dissemination of medical information and misinformation during the COVID-19 pandemic. CJEM. julio de 2020;22(4):418-21.
The works published in this magazine are subject to the following terms:
1. The Publications Service of the University of Murcia (the publisher) preserves the copyright of the published works, and encourages and allows the reuse of the works under the license for use stated in point 2.
© Servicio de Publicaciones, Universidad de Murcia, 2011 (© Publications Service, University of Murcia, 2011)
2. The works are published in the electronic edition of the journal under Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España(texto legal) “ a Attribution-NonCommercial-NoDerivatives 3.0 Spain license (legal text)”. They can be copied, used, broadcasted, transmitted and publicly displayed, provided that: i) the authorship and original source of their publication (journal, publisher and URL) are cited; (ii) are not used for commercial purposes; iii) the existence and specifications of this license is mentioned.
3. Conditions of self-archiving. Authors are allowed and encouraged to electronically disseminate the pre-print (pre-reviewed ) and / or post-print (reviewed and accepted for publication) versions of their works prior to publication, as it ensures a wider circulation and dissemination which may lead to a possible increase in its mention and a higher scope among the academic community. RoMEO color: green.
