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dc.contributor.authorKolt, Noam
dc.date2021-11-25T13:36:32.000
dc.date.accessioned2021-11-26T12:30:31Z
dc.date.available2021-11-26T12:30:31Z
dc.date.issued2020-05-19T12:07:48-07:00
dc.identifierylpr/vol38/iss1/2
dc.identifier.contextkey17796966
dc.identifier.urihttp://hdl.handle.net/20.500.13051/17290
dc.description.abstractConsumers routinely supply personal data to technology companies in exchange for services. Yet, the relationship between the utility (U) consumers gain and the data (D) they supply — “return on data” (ROD) — remains largely unexplored. Expressed as a ratio, ROD = U / D. While lawmakers strongly advocate protecting consumer privacy, they tend to overlook ROD. Are the benefits of the services enjoyed by consumers, such as social networking and predictive search, commensurate with the value of the data extracted from them? How can consumers compare competing data-for-services deals? Currently, the legal frameworks regulating these transactions, including privacy law, aim primarily to protect personal data.
dc.titleReturn on Data: Personalizing Consumer Guidance in Data Exchanges
dc.source.journaltitleYale Law & Policy Review
refterms.dateFOA2021-11-26T12:30:31Z
dc.identifier.legacycoverpagehttps://digitalcommons.law.yale.edu/ylpr/vol38/iss1/2
dc.identifier.legacyfulltexthttps://digitalcommons.law.yale.edu/cgi/viewcontent.cgi?article=1738&context=ylpr&unstamped=1


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