Going with the flow: Nudging attention online
| Autor: | James G. Webster, Harsh Taneja, Angela Xiao Wu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Sociology and Political Science
Nudge theory business.industry Computer science Communication 05 social sciences Distribution (economics) 050801 communication & media studies Swing Data science Digital media 0508 media and communications Flow (mathematics) 0502 economics and business Web usage 050207 economics business |
| Zdroj: | New Media & Society. 23:2979-2998 |
| ISSN: | 1461-7315 1461-4448 |
| DOI: | 10.1177/1461444820941183 |
| Popis: | Theories explaining the impacts of online media often swing between the actions of empowered individuals and the distribution structures put in place by powerful corporations. To explicate how these factors interact, we adapt the concept of audience flow to highlight the temporal dimension of web use and demonstrate how digital architectures subtly nudge masses of people into online attention flows. We identify sequential usage patterns through a network analysis of passively measured clickstreams, combined with data on website ownership and website architectures. Our sample, based on a panel of 1 million users, includes 1761 websites that reached at least 1% of Internet users in the United States. Our findings reveal previously unseen patterns of online audience formation, which have implications for studying media effects and understanding institutional power on the Internet. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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