Análisis de la audiencia social por medio de Twittercaso de estudio. Los premios Goya 2013

  1. Congosto Martínez, María Luz
  2. Deltell Escolar, Luis
  3. Claes, Florencia
  4. Osteso, José Miguel
Journal:
Icono14

ISSN: 1697-8293

Year of publication: 2013

Volume: 11

Issue: 2

Type: Article

DOI: 10.7195/RI14.V11I2.577 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Icono14

Abstract

This research analyzes the behavior of social and creative audiences through Twitter. We focus on the issue of the Goya Awards Ceremony, 2013, which made Spanish first channel RTVE on February 17th, 2013. This paper aims to compare audimetric or traditional audiences with social audiences ranking part in Twitter. Our main hypothesis is that these social groups are not comparable, ie audimetric audiences cantor be measured via tweets. In addition, this research investigates whether it is possible to know, using this microblogging space, the global audience share. In this study we have used several online tools and prospecting audience systems. These include the counter T-hoarder for flow monitoring tweets. As control tools GECA studies, Pirendo and Tuitele were consulted.

Bibliographic References

  • Aparaschivei, P.A. (2011). The Use of New Media in Electoral Campaigns: Analysis on the Use of Blogs, Facebook, Twitter and YouTube in the 2009 Romanian Presidential Campaign. Journal of Media Research Cluj-Napoca, Accent Publisher, 2(10), 39-60.
  • Asur, S. & Haberman, B.A. (2010). Predicting the Future with Social Media. http://arxiv.org/pdf/1003.5699v1.pdf Castells, M. (2011). Comunicación y Poder. Madrid: Alianza Editorial.
  • Deltell. L., Claes F. y Osteso (2013). Predicción de tendencia política por Twitter: Elecciones Andaluzas 2012. Ámbitos. Revista Internacional de Comunicación, n.22. http://www.ambitoscomunicacion.com/2013/prediccion-de-tendencia- politica-por-twitter-elecciones-andaluzas-2012/#more-148
  • Deltell-Escolar, L., Osteso, J.M, & Claes, F. (2013). Twitter en las campañas comunicativas de películas cinematográficas. El profesional de la información, marzo-abril, 22 (2). http://dx.doi.org/10.3145/epi.2013.mar.
  • Gabinete de Estudios de la Comunicación Audiovisual: Informe GECA: Link TV - Domingo 17 de febrero de 2013 – TVE1
  • García García, F., & Gértrudix, M. (2009). El Mare Nostrum Digital: mito, ideología y realidad de un imaginario sociotécnico. Revista Icono14, 12, 7-30. DOI: 10.7195/ri14
  • Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2012). Exploring the “Twitter Effect:” An Investigation of the Impact of Microblogging Word of Mouth on Consumers’ Early Adoption of New Products. Social Science Research Network. http://ssrn.com/abstract=2016548
  • Ishii, A., Arakaki, H; Matsuda, N; Umemura, S; Urushidani, T; Yamagata, N & Yoshida, N. (2012). The ‘hit’ phenomenon: a mathematical model of human dynamics interactions as a stochastic process. New Journal of Physics, 14. DOI:10.1088/1367-2630/14/6/063018
  • Larsson, A. O & Moe, H. (2011). Studying political microblogging: Twitter users in the 2010 Swedish election campaign. New Media and Society DOI: 10.1177/1461444811422894.
  • Marwick, A. & Boyd, D. (2011). To See and to Be Seen: Celebrity practice on Twitter. Convergence: The International Journal of Research into New Media Technologies, Bedforshire, SAGE, 17, 139-157. DOI: 10.1177/1354856510394539
  • Prádanos, E. (2012) La necesidad de estandarizar un patrón de ‘audiencia social’. Mis APIs por tus cookies. Recuperado en: www.misapisportuscookies. com/2012/10/la-necesidad-de-estandarizar-un-patron-de-audiencia-social/
  • Said Hung, E. & Arcila Calderón, C. (2011). Los líderes de opinión en Colombia, Venezuela e Irán. El caso de los 20 usuarios más vistos en Twitter. Comunicación y Sociedad Navarra, Universidad de Navarra, 24(1), 75-100.
  • Serrano-Puche, J. (2012). Herramientas web para la medición de la influencia digital: análisis de Klout y PeerIndex. El profesional de la información, 21(3), 298-303, http://dx.doi.org/10.3145/epi.2012.may.11
  • Tumasjan, A., Sprenger, T., Sandner P.G. & Welp I.M. (2010). Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment. International AAAI Conference on Weblogs and Social Media, Washington DC, George Washington University, 4,178-185.
Data source: Dialnet