Abstract:By constructing the network of media audience, this study sheds light on the predominant modes of exposure to online political information in Spain. Novelty data from a panel of thirty thousand individuals is used for the research. The preliminary results bring evidences for reviewing the line of reasoning that advocates for the prevailing fragmentation of the public sphere. More notably, the results contribute to proving that a substantial level of audience concentration still remains in the web. The highest … Show more
“…More specifically, this study proposes a methodology to build and analyze the network of online news media in Twitter based on follower overlap data. As shown in previous studies of audience networks [9,10,[13][14][15][16][17][18][19][20][21][22][23][24], audience overlap among news sources offer important insights on how the audiences navigate through many news sources that are available online. In the context of the Twitter environment, follower overlap between news media accounts can be interpreted as follows.…”
Section: Introductionmentioning
confidence: 88%
“…The concept of audience overlap has a relatively long history in media studies [11], but the potential of overlap data to build a network of media was only lately uncovered [9,10,[12][13][14][15][16][17][18][19][20][21][22]. Network is a natural representation of the news media landscape.…”
Section: Related Workmentioning
confidence: 99%
“…However, these studies disregard a number of important things, such as edge weight that represents the strength of the overlap, and there was no assessment of the statistical significance of the observed overlap. More recent research has proposed some methodological improvements to the original approach [9,10,[19][20][21][22][23][24].…”
Today, most studies of audience networks analyze the landscape of the news media on the web. However, media ecology has been drastically reconfigured by the emergence of social media. In this study, we use Twitter follower data to build an online news media network that represents the pattern of news consumption in Twitter. This study adopted a weighted network model proposed by Mukerjee et al. and implemented the Filter Disparity Method suggested by Majó-Vázquez et al. to identify the most significant overlaps in the network. The implementation result on news media outlets data in three countries, namely Indonesia, Malaysia, and Singapore, shows that network analysis of follower overlap data can offer relevant insights about media diet and the way readers navigate various news sources available on social media.
“…More specifically, this study proposes a methodology to build and analyze the network of online news media in Twitter based on follower overlap data. As shown in previous studies of audience networks [9,10,[13][14][15][16][17][18][19][20][21][22][23][24], audience overlap among news sources offer important insights on how the audiences navigate through many news sources that are available online. In the context of the Twitter environment, follower overlap between news media accounts can be interpreted as follows.…”
Section: Introductionmentioning
confidence: 88%
“…The concept of audience overlap has a relatively long history in media studies [11], but the potential of overlap data to build a network of media was only lately uncovered [9,10,[12][13][14][15][16][17][18][19][20][21][22]. Network is a natural representation of the news media landscape.…”
Section: Related Workmentioning
confidence: 99%
“…However, these studies disregard a number of important things, such as edge weight that represents the strength of the overlap, and there was no assessment of the statistical significance of the observed overlap. More recent research has proposed some methodological improvements to the original approach [9,10,[19][20][21][22][23][24].…”
Today, most studies of audience networks analyze the landscape of the news media on the web. However, media ecology has been drastically reconfigured by the emergence of social media. In this study, we use Twitter follower data to build an online news media network that represents the pattern of news consumption in Twitter. This study adopted a weighted network model proposed by Mukerjee et al. and implemented the Filter Disparity Method suggested by Majó-Vázquez et al. to identify the most significant overlaps in the network. The implementation result on news media outlets data in three countries, namely Indonesia, Malaysia, and Singapore, shows that network analysis of follower overlap data can offer relevant insights about media diet and the way readers navigate various news sources available on social media.
“…The concept of audience overlap has a relatively long history in media studies, but the potential of overlap data to build network of media was only lately uncovered [ 5 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. Audience overlap can be interpreted as a measure of similarity: the more audience any two news outlets share, the closer those outlets are in terms of their audience base.…”
Section: Related Workmentioning
confidence: 99%
“…There are many studies that examine the phenomenon of fragmentation in the news media landscape [5,7,8,9,10,11,12,13,14,15,16]. However, it remains an empirical question to determine whether this is really a characteristic of current news consumption patterns, or whether the extent of fragmentation differs across countries and media platforms.…”
The development of news media and social media has radically changed the way the public consumes information. This study explores the structure of online news media networks in three countries, namely Indonesia, Malaysia and Singapore, to investigate the phenomenon of fragmentation in the news consumption pattern on social media. Based on the results of the three network indicators used in this study, it can be concluded that the structure of online news media networks in Indonesia and Malaysia shows a tendency of fragmentation. In contrast, this study did not find sufficient evidence that the phenomenon of fragmentation was occurring in the Singapore media network. In-depth analysis on each formed media cluster shows that online news media in Indonesia and Malaysia tend to group based on similarity in market segments, regions or political alignments.
La gran apuesta que tienen hoy en día los medios de comunicación es la de incorporar las redes sociales a su labor periodística como fuente informativa. La influencia de estos nuevos sistemas de comunicación a la hora de componer la agenda setting de los medios es la gran incertidumbre de la que depende la credibilidad presente y futura de la profesión. Este artículo parte de una investigación que se ha realizado entre editores de medios de comunicación y periodistas pertenecientes a las Asociaciones profesionales españolas más relevantes durante el último trimestre de 2019 con el fin de conocer la utilización que hacen de Twitter como fuente informativa en la elaboración de la agenda setting del medio.La metodología fue cualitativa y cuantitativa contrastando, por un lado, el criterio de los editores acerca del uso de Twitter en su medio y, por otro, el de los periodistas receptores de mensajes a través de esta red social como fuente informativa. El estudio refleja que Twitter se considera una fuente informativa más, que debe ser contrastada a través de otros canales directamente implicados en la información y que su incorporación a la tarea periodística se va haciendo de manera progresiva. Los responsables de los medios de comunicación digitales que utilizan Twitter de forma habitual consideran una exigencia contrastar las informaciones que proceden de esta red social, pues la plataforma está compuesta por distintas fuentes informativas.
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