In this article, we draw on theories of biopolitical marketing to explore claims that personal data markets are contextualised by what Shoshana Zuboff calls " surveillance capitalism " and Jodi Dean calls " communicative capitalism ". Aftonbladet 14 January, at:, accessed 14 January 2020 (Dr K Johansson Blight is not an author of this article but recommend its reading). Övervakningskapitalismen är ett hot mot demokratin och den mänskliga naturen. Stoppa nätjättarnas plundring av våra liv. With reference to Zuboff's book, read also media reporting in Swedish: Djurberg, C. (Dr K Johansson Blight is not an author of this article but recommend its reading). The Guardian 20 January, at: accessed 20 January 2019. (2019) in: “'The goal is to automate us': welcome to the age of surveillance capitalism”. … surveillance capitalism depends upon undermining individual self-determination, autonomy and decision rights for the sake of an unobstructed flow of behavioural data to feed markets that are about us but not for us.” From Shoshana Zuboff’s new book, quote from the review by Naughton, J. It is no longer enough to automate information flows about us the goal now is to automate us. Eventually it became the cornerstone of a new kind of commerce that depended upon online surveillance at scale. As click-through rates skyrocketed, advertising quickly became as important as search. Here was the origin of surveillance capitalism in an unprecedented and lucrative brew: behavioural surplus, data science, material infrastructure, computational power, algorithmic systems, and automated platforms. The surplus data became the basis for new predictions markets called targeted advertising. And this surplus would then be analysed for hidden meanings that could predict click-through behaviour. The company developed new methods of secret surplus capture that could uncover data that users intentionally opted to keep private, as well as to infer extensive personal information that users did not or would not provide. “Surveillance capitalism was invented around 2001… … Google’s leaders… … decided to boost ad revenue by using their exclusive access to user data logs to generate predictions of user click-through rates, taken as a signal of an ad’s relevance.
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