Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success: Android and iOS privacy labels confuse developers and end users.
The article analyzes the attempt of the Android and iOS mobile operating systems to format mobile app privacy notices in a simple format resembling nutrition labels, in order to provide consumers with the information they need to make informed decisions. Topics include confusing language, and the ch...
| Publicado en: | Communications of the ACM Vol. 65; no. 11; pp. 26 - 29 |
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| Formato: | Artículo |
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Association for Computing Machinery
Nov2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159802844&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159802844 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2022 vid: 65 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 159802844 10.1145/3563967 ppf: 26 ppct: 3 formats: tig: atl: Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success: Android and iOS privacy labels confuse developers and end users. aug: au: Cranor, Lorrie Faith affil: Director and Bosch Distinguished Professor in Security and Privacy Technologies, CyLab Security. Privacy Institute and FORE Systems Professor, Computer Science and Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA. su: Right of privacy Mobile apps Consumer education Android (Operating system) iOS (Operating system) Technical language Nutrition tables sug: subj: Right of privacy Mobile apps Consumer education Android (Operating system) iOS (Operating system) Technical language Nutrition tables ab: The article analyzes the attempt of the Android and iOS mobile operating systems to format mobile app privacy notices in a simple format resembling nutrition labels, in order to provide consumers with the information they need to make informed decisions. Topics include confusing language, and the challenge for app developers to accurately represent their data practices. The author offers recommendations for improvement, including automating systems, standardizing terminology, and increasing ease of access. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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