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      Algorithmic Democracy : A Critical Perspective Based on Deliberative Democracy 

      Hyperethics: The Automation of Morality

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      Springer International Publishing

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          Learning representations by back-propagating errors

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            The Moral Machine experiment

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              Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology

              Metadata and data have become a regular currency for citizens to pay for their communication services and security—a trade-off that has nestled into the comfort zone of most people. This article deconstructs the ideological grounds of datafication. Datafication is rooted in problematic ontological and epistemological claims. As part of a larger social media logic, it shows characteristics of a widespread secular belief. Dataism, as this conviction is called, is so successful because masses of people — naively or unwittingly — trust their personal information to corporate platforms. The notion of trust becomes more problematic because people’s faith is extended to other public institutions (e.g. academic research and law enforcement) that handle their (meta)data. The interlocking of government, business, and academia in the adaptation of this ideology makes us want to look more critically at the entire ecosystem of connective media.
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                Book Chapter
                2024
                February 21 2024
                : 147-166
                10.1007/978-3-031-53015-9_8
                054f8cb6-bd99-42ba-b00f-68e0a17d99eb
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