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Titlebook: Algorithmic Marketing and EU Law on Unfair Commercial Practices; Federico Galli Book 2022 The Editor(s) (if applicable) and The Author(s),

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樓主: legerdemain
31#
發(fā)表于 2025-3-26 22:08:10 | 只看該作者
Some Preliminary Remarks,ite. Over the next few days, she is frequently exposed to ads about that e-reader while web-surfing. After receiving a coupon by email, she follows the link and places an order. Happy about the product, she describes her user experience on Facebook and posts a few pictures on Instagram. Her friends comment on the posts with interest.
32#
發(fā)表于 2025-3-27 01:34:37 | 只看該作者
33#
發(fā)表于 2025-3-27 07:57:08 | 只看該作者
34#
發(fā)表于 2025-3-27 12:36:31 | 只看該作者
EU Law on Unfair Commercial Practicesse debate among consumer lawyers and policy-makers. Its general scope and technology-neutral approach make it especially suitable for developing a discussion on commercial fairness in algorithmic marketing.
35#
發(fā)表于 2025-3-27 17:14:53 | 只看該作者
36#
發(fā)表于 2025-3-27 19:49:51 | 只看該作者
37#
發(fā)表于 2025-3-27 22:01:54 | 只看該作者
https://doi.org/10.1007/978-3-8349-8104-2ating a sense of social attachment in consumers while auctioning-o intimate spaces of their lives. This development drives consumers’ surveillance and predictive personalisation into the depths of human emotions and affective lives, which trigger new dynamics of hidden persuasion and social affection in algorithmic marketing.
38#
發(fā)表于 2025-3-28 04:25:40 | 只看該作者
39#
發(fā)表于 2025-3-28 07:11:57 | 只看該作者
2352-1902 strating the evolution of business practices with ArtificialArtificial Intelligence (AI) systems are increasingly being deployed by marketing entities in connection with consumers’ interactions. Thanks to machine learning (ML) and cognitive computing technologies, businesses can now analyse vast amo
40#
發(fā)表于 2025-3-28 10:48:42 | 只看該作者
Das Leistungs- und Produktportfolioxperience and more straightforward choice, these developments fundamentally change business-to-consumer relations in that by adopting a radical behaviourist approach, they subject consumers’ decision-making to an opaque, subtle, and potentially exploitative modulation of digital choice architecture.
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