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Tesis Doctoral UNIVERSIDAD COMPLUTENSE DE MADRID FACULTAD DE CIENCIAS ECONÓMICAS Y EMPRESARIALES Departamento de Comercialización e Investigación de Mercados TESIS DOCTORAL Las redes sociales en internet como herramienta de estimación del voto MEMORIA PARA OPTAR AL GRADO DE DOCTOR PRESENTADA POR Fernando Moreno Reyes Directores José María Santiago Merino María Puelles Gallo Madrid, 2015 © Fernando Moreno Reyes, 2015 UNIVERSIDAD COMPLUTENSE DE MADRID FACULTAD DE CIENCIAS ECONÓMICAS Y EMPRESARIALES Departamento de Comercialización e Investigación de Mercados _______________________________________________________________ LAS REDES SOCIALES EN INTERNET COMO HERRAMIENTA DE ESTIMACIÓN DEL VOTO _____________________________________________ MEMORIA PARA OPTAR AL GRADO DE DOCTOR PRESENTADA POR Fernando Moreno Reyes Bajo la dirección de Prof. Dr. D. JOSE MARÍA SANTIAGO MERINO y Prof. Dr. Dª. MARÍA PUELLES GALLO Madrid 2014 Las redes sociales en Internet como herramienta de estimación del voto 1 Las redes sociales en Internet como herramienta de estimación del voto ÍNDICE Resumen en inglés Página 006 Capítulo 1: Justificación y objetivos de la investigación Página 012 Capítulo 2: Marco teórico y antecedentes Página 021 Capítulo 3: Las redes sociales en Internet Página 035 3.1 Tipos de redes sociales en Internet y su funcionamiento Página 036 3.1.1 Conclusiones Página 047 3.2 Análisis de las redes sociales en Internet en España Página 048 3.2.1 Conclusiones Página 096 3.3 Las redes sociales en Internet y Política Página 103 3.3.1 Tecnología Página 103 3.3.2 Internet Página 106 3.3.3 Redes sociales en Internet Página 116 2 Las redes sociales en Internet como herramienta de estimación del voto 3.3.4 Uso de las redes sociales en Internet como herramienta de medición de datos Página 131 3.3.5 Conclusiones Página 137 3.4 Modelos de estimación del voto Página 141 3.4.1 Conclusiones Página 144 3.5 Métrica Twitter Página 145 3.5.1 Conclusiones Página 158 Capítulo 4: Hipótesis y Metodología Página 159 4.1 Planteamiento de la Hipótesis Página 160 4.1.1 Identificación del problema objeto del estudio Página 160 4.1.2 Enunciado teórico Página 160 4.1.3 Deducción de Hipótesis Página 161 4.2 Planteamiento de la Metodología Página 168 4.2.1 Selección de una muestra aleatoria de usuarios de Twitter Página 168 4.2.2 Universo Página 168 4.2.3 Muestra Página 169 4.2.4 Recogida de Información Página 170 3 Las redes sociales en Internet como herramienta de estimación del voto 4.2.4.1 Análisis de los condicionantes en la campaña electoral. Influencia de la prensa, discurso y perfil político en Twitter Página 172 4.2.5 Análisis cuantitativo Página 187 4.2.5.1 Resultados de las Encuestas Preelectoral y Postelectoral Página 187 4.2.5.2 Conclusiones. Actividad en Twitter durante la campaña electoral Página 208 4.2.6 Análisis Cualitativo y Cuantitativo, y Evolución Página 212 4.2.6.1 Datos generales del estudio Página 212 4.2.6.2 Análisis cualitativo y de evolución de los usuarios de Twitter Página 219 Capítulo 5: Conclusiones e implicaciones para la gestión Página 227 Capítulo 6: Limitaciones y futuras líneas de investigación Página 240 Bibliografía Página 242 Anexo Página 274 4 Las redes sociales en Internet como herramienta de estimación del voto Agradecimientos a Ruth Carrasco y Juan José Cacho de la empresa Aumentha, y las familias Kress y Moreno Reyes. 5 Las redes sociales en Internet como herramienta de estimación del voto Resumen en inglés: The online social networks as a tool for estimating vote. 6 Las redes sociales en Internet como herramienta de estimación del voto This research stems from the idea that raises the article written by Jon Gertner "Social Media as Social Index" (2010) from The 10th Annual Year in Ideas of The New York Times. The aim of this thesis is to verify the current development of the social networks on the Internet as a tool for measuring the estimation of the vote. The objectives to reach the aim of this thesis are understanding the origin of the social networks, their Internet application and operation; to define the importance and penetration of the social networks on the Internet in Spain, to analyze scientific publications that highlight the importance and feasibility of this research, to choose a social networking site and analyze its performance for using it in the chosen methodology for estimating the vote, an finally to decide the frame where it will be analyzed the estimation of vote through a social networking site to confirm or refute the hypotheses. The Social Networks and the Internet. The social networks have existed since the beginning of mankind, the research about them is evident in the Theory of Six Degrees (Karinthy, 1930; Watts, 2004) and The Problem of Small World (Milgram, 1967). Mitchell (1973) grouped the two schools (the graph theory and the structural functionalism) that laid the foundations of social network analysis. With the emergence of Internet and the World Wide Web, the Search Marketing (Boughton, 2005) and RSS (Murugesan, 2007), there were numerous applications including the social networking sites, whose business plan is based on the theories previously formulated. Friendster was the first social network to appear in 2002, later on the Friendster´s structure was replicated by MySpace in 2003, Facebook in 2004 and Twitter in 2006. According to O'Reilly (2004), the Web 2.0 is divided into communication applications (blogs, social networking), collaboration (wikis) social bookmarking sites news, podcasts, multimedia and entertainment (virtual worlds, share games, online games). There are several platforms that work with these 4 features. The social networks are closely related to the behavior, influence, image, productivity, conduct, results and in relation to various sectors such as anthropology, sanitation, geography or economics. This fact makes feasible the study of social networking sites as tools to influence political behavior. Twitter is a microblogging network and it seems very appropriate for this analysis. The Social Networks sites in Spain. Twitter. 7 Las redes sociales en Internet como herramienta de estimación del voto The studies of ONTSI (2011), The Cocktail Analysis (2012; 2013), IAB (2012; 2013) were analyzed. The conclusions are Twitter is currently growing at 33% annual average, among the main activities of Twitter arises take part in advocacy / civic mobilization with a frequency of very common and quite often 18%. This activity did not exist in 2009 and 2010. The users use these networks as tools of influence and a way to express themselves with no censorship (12% of users), also as a vehicle for awareness / mobilization with a frequency of very common to quite often. These data confirms the importance of these tools as potential sources of rich and diverse information in reference to current political issues, political parties or electoral process. The Internet and Politics. The advent of the era of information and technology in post-industrial societies has changed how to execute the actions of political communication. The formulation of concepts as Third Age of Political Communication and Third Age of Political Communication (Blumber & Kavanagh, 1999), Postmodern Campaign (Norris, 2000), Permanent Campaign (Nimmo 1999), Politics as usual (Margolis & Resnick, 2000) and Postburocratic Policy (Bimber, 2003); summary that we are in a new era of political communication where campaigns become postmodern thanks to the Internet, we are always under a political campaign because the Internet is considered a policy tool for everyday communication. The new tools of communication technology (SMS or Short Message Service messages), Internet (Web 2.0), social networking sites, ... make the political communication more flexible (Mylona, 2008, Ward, 2003; Lusoli, Ward & Gibson, 2006), one way or more direct way (Anduiza, 2009; Ward, 2003; Gibson, Ward & Lusoli, 2002), an evolution of the communication from one to many to many to many (Gibson & Rommele, 2008), with simplicity of the message (Mylona, 2008), no editorial control (Ward, 2003), less top down and more bottom up (Mylona, 2008, Gibson, Ward & Lusoli, 2003, Gibson & Rommele, 2008), fostering the ability to mobilize/local and global protests (Lance Bennett, Breunig & Givens, 2008; Gibson, Ward & Lusoli, 2002; Artusi & Maurizzi, 2010; Vaccari, 2008; Bimber & Davis, 2003), low cost (Mylona, 2008, Ward, 2003), accessible, closer to the young voter (Mylona, 2008; Blais, Gidengil & Nevite Gidengil, 2004; Leppäniemi et al, 2010; Norris, 2003), more interactive (Norris, 2000; Farrel & Webb, 2000; Mylona, 2008), to promote e-discussion or discussion in the network (Bimber, 2001), propitiate less political influence in the media (Blumber & Kavannagh, 1999), conducive or cyber activism (Blumber 8 Las redes sociales en Internet como herramienta de estimación del voto & Kavannagh, 1999, Sherman & Schiffman, 2002; Gibson, Ward & Lusoli, 2003), allows transmit messages in a limited way or narrowcasting (Gibson, Ward & Lusoli, 2002). All these features are conditioned by the digital divide or penetration of this technology in the population (Mylona, 2008). Within Democracy 2.0. and Government 2.0 (Dominguez, 2009), the new tools of communication technology, the Internet, the social networking sites; they not only have the characteristics or functions from above, but also they promote the digital democracy or e-democracy (Demertzis et al, 2005), reinforce the review (Bimber & Davis, 2003), allow microsegment or segment to influence the vote (Artusi & Maurizzi, 2010; Leppäniemi et al 2010), raise funds or fundraising (Towner & Dulio, 2012; Bimber & Davis, 2003), capture and engage voters/engagement (Vaccari, 2008; Lusoli, Ward & Gibson, 2006; Leppäniemi et al, 2010), to persuade the undecided voter (Vaccari, 2008). Regarding the investigation of politics and the social networking sites, some researchers reject the hypothesis of Twitter as a tool of political prediction (Gayo-Avello, 2011; Jungherr, Jürgens & Schoen, 2011; Mustafaraj & Chung, 2011), other corroborate it (Tumasjan et al, 2011; Asur & Huberman, 2010, Kamel et al, 2010, Chen, 2009; Sang & Bos, 2012; O'Connor et al, 2010).
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