No (Big) Data, no fiction? Thinking surveillance with/against Netflix
| Autor: | Bellanova, R., González Fuster, G., Rudinow Sætnan, A., Schneider, I., Green, N. |
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| Přispěvatelé: | Transnational Configurations, Conflict and Governance (AISSR, FMG) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | The Politics and Policies of Big Data: Big Data Big Brother?, 227-246 STARTPAGE=227;ENDPAGE=246;TITLE=The Politics and Policies of Big Data |
| Popis: | Surveillance Studies often look at cultural products as pedagogical or heuristic devices, as if they were windows into the popular representation of surveillance practices. However, artworks may also be the (by-)products of consumers' surveillance. Online platforms like Netflix harvest vast amounts of data about clients' behaviour, so to predict their interests and produce more successful, profitable creations. In this chapter, we discuss how to think about surveillance with and against Netflix, focusing on the tensions between databases and narratives, and between politics and data-driven fiction. We explore how surveillance practices are both presented and performed when Big Data gleaned from viewers is used to tailor-script a series questioning mass surveillance, such as House of Cards. We argue that surveillance then displays itself as an embodied and transformative experience. While viewers can figure its inner workings in a more concrete manner, they are, at the same time, turned into data-breeding publics. |
| Databáze: | OpenAIRE |
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