A Network Analytic Approach to Understanding Cross-Platform Audience Behavior

Ksiazek, Thomas B.

doi:10.1080/08997764.2011.626985

Cited by 56 publications

(63 citation statements)

References 31 publications

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“…To meet this purpose, we add to the sample top read media outlets categorized under the label "new media" by comScore (ie, niche news media sites, blogs and aggregators). Furthermore, we included traditional news media sites that reach a minimum of 0,5% of the total Internet audience in Spain 2 (Ksiazek, 2011;Webster and Ksiazek, 2012). As a result of these conditions, the sample studied largely represents the most widely visited traditional as well as new media sites.…”

Section: Methodsmentioning

confidence: 99%

“…Building on the empirical framework from Ksiazek (2011) we apply a network analytical approach to understand online audience behaviour among the sites of our sample. Afterwards, we examine the structural characteristics of the network that audience forms.…”

Section: Methodsmentioning

confidence: 99%

“…However, not until recently have a few researchers taken advantage of network analysis to bring empirical evidence to assess the feasibility of these theories (Ksiazek, 2011;Taneja and Wu, 2014;Webster and Ksiazek, 2012;González-Bailón, 2009). The key aspect of this research is that they do find a greater level of audience fragmentation on the web, but in coexiste with a predominant level of audience concentration.…”

Section: Este Estudio Construye La Red De Audiencias De Los Medios Dementioning

confidence: 99%

“…To identify this relationship, we used the proposed measurement system by Ksiazek (2011), more precisely, the measure named Deviation-from-Random-Duplication (DfRD). This measure helps to rule non-significant connections out of our sample.…”

mentioning

confidence: 99%

“…Thus the evidences brought by this study apply to political interested citizens who get their media diet online. Traditional Media computing the formula by Ksiazek (2011). Finally, we subtract the expected duplication from the observed.…”

mentioning

confidence: 99%

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A Network Analysis of Online Audience Behaviour: Towards a Better Comprehension of the Agenda Setting Process

Majó-Vázquez¹

2015

IDP Rev. Internet derecho polít.

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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 levels of audience overlapping are found in those media outlets that are driving the media agenda in the offline sphere. Therefore the study proffers evidence that the structure of the online public sphere might guarantee the necessary shared informational experiences for a deliberative democracy.The implications of the current networked audience behaviour for the study of the agenda setting process are discussed along with the chances for a shared public agenda in Spanish society. Observational methods and content analysis have been used in the study of the agenda setting process so far. However, the current communication environment characterized by unlimited, decentralized and abundant sources of political information prompts the application of new analytical approaches. Networks are at the heart of online communication and network science allows for analyzing its structure. It provides the ARTICLE

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Este Estudio Construye La Red De Audiencias De Los Medios Dementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A Network Analysis of Online Audience Behaviour: Towards a Better Comprehension of the Agenda Setting Process

Majó-Vázquez¹

2015

IDP Rev. Internet derecho polít.

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Collecting vertical trace data: Big possibilities and big challenges for multi-method research

Menchen-Trevino

2013

Policy &Amp; Internet

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Every person who sends email, text messages, tweets, or simply surfs the Web leaves a digital trace. Researchers are just starting to comprehend the possibilities of “big data” for creating a new picture of social behavior. The potential for innovative work on social and cultural topics far outstrips current data collection and analysis techniques for a variety of reasons, including researchers' lack of access to corporate data sets, technical skills, and analytical lenses. This article draws a distinction between “horizontal” trace data sets that aggregate a specific type of trace, such as all tweets with a certain hashtag, and “vertical” trace data sets, which are organized around research participants. Although both types of data are observations of real‐world digital behavior, they each have distinct advantages and disadvantages for the researcher. Combining these two forms of data provides a richer picture of online activity, and adding other types of data such as interviews, surveys, and experiments can contextualize online activity within broader social processes.

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Measuring web ecology by Facebook, Twitter, blogs and online news: 2012 general election in South Korea

2014

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A Network Analytic Approach to Understanding Cross-Platform Audience Behavior

Cited by 56 publications

References 31 publications

A Network Analysis of Online Audience Behaviour: Towards a Better Comprehension of the Agenda Setting Process

A Network Analysis of Online Audience Behaviour: Towards a Better Comprehension of the Agenda Setting Process

Collecting vertical trace data: Big possibilities and big challenges for multi-method research

Measuring web ecology by Facebook, Twitter, blogs and online news: 2012 general election in South Korea

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