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001449175 001__ 1449175
001449175 003__ OCoLC
001449175 005__ 20230310004346.0
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001449175 008__ 220903s2022\\\\sz\a\\\\ob\\\\000\0\eng\d
001449175 019__ $$a1343247543
001449175 020__ $$a9783031136030$$q(electronic bk.)
001449175 020__ $$a3031136039$$q(electronic bk.)
001449175 020__ $$z9783031136023
001449175 020__ $$z3031136020
001449175 0247_ $$a10.1007/978-3-031-13603-0$$2doi
001449175 035__ $$aSP(OCoLC)1343197205
001449175 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001449175 043__ $$ae------
001449175 049__ $$aISEA
001449175 050_4 $$aKJE6577
001449175 08204 $$a343.24071$$223/eng/20220912
001449175 1001_ $$aGalli, Federico,$$eauthor.
001449175 24510 $$aAlgorithmic marketing and EU law on unfair commercial practices /$$cFederico Galli.
001449175 264_1 $$aCham :$$bSpringer,$$c[2022]
001449175 264_4 $$c©2022
001449175 300__ $$a1 online resource (xv, 274 pages) :$$billustrations.
001449175 336__ $$atext$$btxt$$2rdacontent
001449175 337__ $$acomputer$$bc$$2rdamedia
001449175 338__ $$aonline resource$$bcr$$2rdacarrier
001449175 4901_ $$aLaw, governance and technology series ;$$vvolume 50
001449175 504__ $$aIncludes bibliographical references.
001449175 506__ $$aAccess limited to authorized users.
001449175 520__ $$aArtificial 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 amounts of data on consumers, generate new knowledge, use it to optimize certain processes, and undertake tasks that were previously impossible. Against this background, this book analyses new algorithmic commercial practices, discusses their challenges for consumers, and measures such developments against the current EU legislative framework on consumer protection. The book adopts an interdisciplinary approach, building on empirical findings from AI applications in marketing and theoretical insights from marketing studies, and combining them with normative analysis of privacy and consumer protection in the EU. The content is divided into three parts. The first part analyses the phenomenon of algorithmic marketing practices and reviews the main AI and AI-related technologies used in marketing, e.g. Big data, ML and NLP. The second part describes new commercial practices, including the massive monitoring and profiling of consumers, the personalization of advertising and offers, the exploitation of psychological and emotional insights, and the use of human-like interfaces to trigger emotional responses. The third part provides a comprehensive analysis of current EU consumer protection laws and policies in the field of commercial practices. It focuses on two main legal concepts, their shortcomings, and potential refinements: vulnerability, understood as the conceptual benchmark for protecting consumers from unfair algorithmic practices; manipulation, the substantive legal measure for drawing the line between fair and unfair practices.
001449175 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 12, 2022).
001449175 650_0 $$aConsumer protection$$zEuropean Union countries.
001449175 650_0 $$aConsumer protection$$xLaw and legislation$$zEuropean Union countries.
001449175 650_0 $$aMarketing$$zEuropean Union countries.
001449175 655_0 $$aElectronic books.
001449175 77608 $$iPrint version:$$aGALLI, FEDERICO.$$tALGORITHMIC MARKETING AND EU LAW ON UNFAIR COMMERCIAL PRACTICES.$$d[S.l.] : SPRINGER INTERNATIONAL PU, 2022$$z3031136020$$w(OCoLC)1334719296
001449175 830_0 $$aLaw, governance and technology series ;$$vv. 50.
001449175 852__ $$bebk
001449175 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-13603-0$$zOnline Access$$91397441.1
001449175 909CO $$ooai:library.usi.edu:1449175$$pGLOBAL_SET
001449175 980__ $$aBIB
001449175 980__ $$aEBOOK
001449175 982__ $$aEbook
001449175 983__ $$aOnline
001449175 994__ $$a92$$bISE