Abstract:1 We thank James Ettema for his helpful comments on earlier versions of this manuscript. The current version has also benefited greatly from extended discussion with James Webster, Stephanie Edgerly and Edward Malthouse. We are very grateful for the detailed and constructive feedback from the anonymous reviewers. Finally, we would like to acknowledge the terrific editorial support and direction from the editor of The Information Society.
AbstractThe dominant understanding of Internet censorship posits that blo… Show more
“…Hence, when seen in the aggregate, global media consumption manifests as an aggregation of many "culturally defined markets", aligned on geo-linguistic lines (Straubhaar, 1991(Straubhaar, , 2007. Although the theory of cultural proximity developed to explain global consumption of television and films, language and geography explain global Web use patterns to a large extent (e.g., Taneja and Wu, 2014). In fact, these cultural factors predict Web use better than hyperlinks do (Taneja and Webster, 2016).…”
Section: Global Web Use and Culturally Defined Marketsmentioning
confidence: 99%
“…Taneja and Wu (2014) adapted audience duplication to study global web usage and their findings suggest that cultural factors drive such user centric maps of the Web. Unlike hyperlink analysis, which generally suggests the dominance of a small number of Websites (usually from "core" wealthy countries), an audience centric approach would likely reveal a more decentralized Web structure driven largely by culturally defined patterns of consumption.…”
Section: Audience Centric Structures Of the Webmentioning
confidence: 99%
“…However since any two Websites are expected to have some amount of audience overlap, I considered a tie to exist only when the duplication was above what one would expect by random chance (see Taneja and Wu, 2014). For instance, if in a given time period, a certain Website, say 'A' has a unique user reach of 10% of all Internet users and Website 'B' has a reach of 50%, then assuming the consumption of both are independent events, 5% would be the expected number of users to visited both A and B.…”
This paper argues that maps of the Web's structure based solely on technical infrastructure such as hyperlinks may bear little resemblance to maps based on Web usage, as cultural factors drive the latter to a larger extent. To test this thesis, the study constructs two network maps of 1000 globally most popular Web Domains, one based on hyperlinks and the other using an "audience centric" approach with ties based on shared audience traffic between these domains. Analyses of the two networks reveal that unlike the centralized structure of the hyperlinks network with few dominant "core" websites, the audience network is more decentralized and clustered to a larger extent along geo-linguistic lines
“…Hence, when seen in the aggregate, global media consumption manifests as an aggregation of many "culturally defined markets", aligned on geo-linguistic lines (Straubhaar, 1991(Straubhaar, , 2007. Although the theory of cultural proximity developed to explain global consumption of television and films, language and geography explain global Web use patterns to a large extent (e.g., Taneja and Wu, 2014). In fact, these cultural factors predict Web use better than hyperlinks do (Taneja and Webster, 2016).…”
Section: Global Web Use and Culturally Defined Marketsmentioning
confidence: 99%
“…Taneja and Wu (2014) adapted audience duplication to study global web usage and their findings suggest that cultural factors drive such user centric maps of the Web. Unlike hyperlink analysis, which generally suggests the dominance of a small number of Websites (usually from "core" wealthy countries), an audience centric approach would likely reveal a more decentralized Web structure driven largely by culturally defined patterns of consumption.…”
Section: Audience Centric Structures Of the Webmentioning
confidence: 99%
“…However since any two Websites are expected to have some amount of audience overlap, I considered a tie to exist only when the duplication was above what one would expect by random chance (see Taneja and Wu, 2014). For instance, if in a given time period, a certain Website, say 'A' has a unique user reach of 10% of all Internet users and Website 'B' has a reach of 50%, then assuming the consumption of both are independent events, 5% would be the expected number of users to visited both A and B.…”
This paper argues that maps of the Web's structure based solely on technical infrastructure such as hyperlinks may bear little resemblance to maps based on Web usage, as cultural factors drive the latter to a larger extent. To test this thesis, the study constructs two network maps of 1000 globally most popular Web Domains, one based on hyperlinks and the other using an "audience centric" approach with ties based on shared audience traffic between these domains. Analyses of the two networks reveal that unlike the centralized structure of the hyperlinks network with few dominant "core" websites, the audience network is more decentralized and clustered to a larger extent along geo-linguistic lines
“…In other cases, most notably in China, it has been argued conversely that the government and its censorship regime ringfence the web, making it into a cultural resource whose reach is circumscribed by the state. Both ideas are misleading, as Taneja and Wu (2014) have shown: first, in a certain sense, access to the web in China is no less densely bounded off from the global web than is the case for other nonEnglish speaking large clusters on the web. The way that Taneja and Wu arrive at this finding is by examining traffic to the top 1000 websites (which together receive more than 99% share of attention globally), and then grouping these into sites that receive shared attention.…”
A CIP catalogue record for this book is available from The British Library.This book is published under a Creative Common 4.0 International license (CC BY 4.0). This license allows you to share, copy, distribute and transmit the work; to adapt the work and to make commercial use of the work providing attribution is made to the authors (but not in any way that suggests that they endorse you or your use of the work). Attribution should include the following information: Niels Brügger and Ralph Schroeder (eds. Table 5.2 Linear regression model explaining amount of country news mentions on BBC online 113 Table 5.3 Linear regression model explaining amount of country outlinks on BBC online 115 Table 6.1)Evaluation of the navigation and user interface of state websites 128 Table 7.1 Topics in three selected GeoCities neighbourhoods 149 Table 8.1 Direction and manifestation of ties in online networks 163 Table 8.2 Composition of sites (abortion stance) 167 Table 8.3 Composition of sites (site type) 167 Table 8.4 Top-20 sites ranked by Google, 2005 and 2015 169 Table 8.5 Network statistics 172 Table 8.6 Top-20 sites by indegree (full network) 176 Table 8.7 Top-20 sites by indegree (participant subnetwork) 178 Table 8.8 Top-20 sites by outdegree (full network) 179 Grant Blank is the Survey Research Fellow at the Oxford Internet Institute, University of Oxford. He is a sociologist specializing in the political and social impact of computers and the internet, the digital divide, statistical and qualitative methods, and cultural sociology. He is currently working on a project asking how cultural hierarchies are constructed in online reviews of cultural attractions. His other project links sample survey data with census data to generate small area estimates of Internet use in Great Britain. He holds a PhD from the University of Chicago.
L iS t o f Co N t Ri B u to R S xivJonathan Bright is a Research Fellow at the Oxford Internet Institute, University of Oxford. He is a political scientist specialising in political communication and computational social science (especially 'big data' approaches to the social sciences). His research concerns how people get information about politics, and how this process is changing in the internet era.
“…The best example is China, which is often said to be cut off from the global web. Yet this is misleading in some respects: even in this restrictive environment, savvy internet users who wish to get access to information from within and outside the country can for the most part do so, except where online information has been removed altogether (Taneja and Wu 2014). A different way to gauge the global web is to ask: how many companies dominate online attention?…”
A CIP catalogue record for this book is available from The British Library. This book is published under a Creative Commons 4.0 International license (CC BY 4.0). This license allows you to share, copy, distribute and transmit the work; to adapt the work and to make commercial use of the work providing attribution is made to the authors (but not in any way that suggests that they endorse you or your use of the work). Attribution should include the following information:
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