Abstract:This study investigates the role of both cultural and technological factors in determining audience formation on a global scale. It integrates theories of media choice with theories of global cultural consumption and tests them by analyzing shared audience traffic between the world's 1,000 most popular websites. We find that language and geographic similarities are more powerful predictors of audience overlap than hyperlinks and genre similarity, highlighting the role of cultural structures in shaping global m… Show more
“…The eigenvector centrality of language [6] indicates that countries using more global languages (e.g., English) have greater cultural openness, consistent with the findings in previous studies ( b = .173, p < .05 for cultural betweenness; b = .190, p < .01 for cultural closeness) [7,8]. However, this effect largely disappears when cultural values are included in the model ( b = .092, p = .29 for cultural betweenness; b = .075, p = .18 for cultural closeness), indicating that cultural values are stronger predictors of cultural openness and capture most of the linguistic effect.…”
Section: Resultssupporting
confidence: 84%
“…As a consequence, English as a lingua franca allows greater access to cultural diversity [6,8], compared to local languages such as Korean or Japanese. Following Ronen et al’s [6] algorithm, we computed eigenvector centrality of a country’s language.…”
Video-sharing social media like YouTube provide access to diverse cultural products from all over the world, making it possible to test theories that the Web facilitates global cultural convergence. Drawing on a daily listing of YouTube’s most popular videos across 58 countries, we investigate the consumption of popular videos in countries that differ in cultural values, language, gross domestic product, and Internet penetration rate. Although online social media facilitate global access to cultural products, we find this technological capability does not result in universal cultural convergence. Instead, consumption of popular videos in culturally different countries appears to be constrained by cultural values. Cross-cultural convergence is more advanced in cosmopolitan countries with cultural values that favor individualism and power inequality.
“…The eigenvector centrality of language [6] indicates that countries using more global languages (e.g., English) have greater cultural openness, consistent with the findings in previous studies ( b = .173, p < .05 for cultural betweenness; b = .190, p < .01 for cultural closeness) [7,8]. However, this effect largely disappears when cultural values are included in the model ( b = .092, p = .29 for cultural betweenness; b = .075, p = .18 for cultural closeness), indicating that cultural values are stronger predictors of cultural openness and capture most of the linguistic effect.…”
Section: Resultssupporting
confidence: 84%
“…As a consequence, English as a lingua franca allows greater access to cultural diversity [6,8], compared to local languages such as Korean or Japanese. Following Ronen et al’s [6] algorithm, we computed eigenvector centrality of a country’s language.…”
Video-sharing social media like YouTube provide access to diverse cultural products from all over the world, making it possible to test theories that the Web facilitates global cultural convergence. Drawing on a daily listing of YouTube’s most popular videos across 58 countries, we investigate the consumption of popular videos in countries that differ in cultural values, language, gross domestic product, and Internet penetration rate. Although online social media facilitate global access to cultural products, we find this technological capability does not result in universal cultural convergence. Instead, consumption of popular videos in culturally different countries appears to be constrained by cultural values. Cross-cultural convergence is more advanced in cosmopolitan countries with cultural values that favor individualism and power inequality.
“…One way of approaching the question of audience fragmentation versus audience duplication across media platforms and across different media systems is through the audience‐centric approach developed by James Webster and his collaborators (Taneja, ; Taneja & Webster, ; Webster, ; Webster & Ksiazek, ; Weeks et al, ; Yuan & Ksiazek, ). According to this stream of work, audiences within media environments can be characterized by placing them on a spectrum that ranges from “fragmented” to “duplicated.” One determines this characterization by measuring the degree of audience “overlap” between each pair of outlets within the environment, which is simply the proportion of the population who use both.…”
The move to high‐choice media environments has sparked fears over audience fragmentation. We analyze news audiences across media platforms (print, television, and online) in 6 countries, going beyond platform‐specific, single‐country studies. We find surprisingly high levels of news audience duplication, but also that cross‐platform audiences vary from country to country, with fragmentation higher in Denmark and the United Kingdom than in Spain and the United States. We find no support for the idea that online audiences are more fragmented than offline audiences, countering fears associated with audience segmentation and filter bubbles. Because all communication exists in the context of its audience, our analysis has implications across the field, underlining the importance of research into how trends play out in different contexts.
“…Other methods include shared website use for the most frequently visited websites, globally or nationally, using Alexa.com (http:// www.alexa.com/ ) rankings (Barnett and Park 2014;Taneja and Webster 2016).…”
Section: Is the Web Global?mentioning
confidence: 99%
“…This method (using data from comScore) was used by Taneja and Webster (2016). Based on 2 million panellists from more than 170 countries, it is measured once per month, and includes the top 1,000 Web domains and subdomains that together account for 99 per cent of Web user visits.…”
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