The funder had no role in the review of or decision to publish the manuscript. Rowan M, Dehlinger J. We included unique apps published by individual developers, which requested 58 different permissions mean 7. A German privacy regulator recently ordered Facebook to stop collecting and storing the data of WhatsApp users, a social messaging app it had acquired [ 27 ]. Two apps each requested 32 different permissions: We conducted a descriptive analysis of app, developer, and user data collection characteristics. Within the connected component, any 2 app families were connected by a maximum of 6 steps, and with an average of 3.
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The market of mobile health and fitness apps displays a remarkable dichotomy: We reached a sample of 50 on January 21, We extracted data between December 12, and April 1, from app store descriptions, websites linked from the app store description and Google searches, with Google Play as a default content source when apps were distributed in both app stores.
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User perception of facebook app data access: Facebook is currently appealing this order [ 27 ].
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|We sought to describe how consumer data generated from mobile health apps might be distributed and reused.
We obtained data on permissions requested for the apps that were available in Google Play, as iTunes does not report this data. The Black Box Society: These findings validate privacy and security concerns in mobile health due to the sensitivity of health-related data as well as the collection of more kinds of personally identifiable data [ 89 ]. Both the initially sampled and these secondary apps were included as nodes in the network analysis.
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MobilePatrol connects you to important safety information, news, and critical alerts for places you care about. We partner with public safety and law enforcement. Health apps are regulated in order to minimise their potential for harm Donna Gillies,; Barbara Mintzes,; Melissa Raven and; Quinn Grundy.
We grouped different instances of the same app through a two-stage process, first identifying similar names of apps automatically using approximate string matching, with a second author cross checking results [ 15 ].
The New York Times. However, health apps also routinely pose risks related to information leaks, information manipulation, and loss of information [ 10 ].
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We reached a sample of 50 on January 21, We highlight the 15 highest scoring app families in Figure 2.
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|Though Google Play allows developers to disclose the permissions requested, these disclosures are not accompanied by non-technical, lay descriptions of a given permission, nor what the likely and possible implications of granting such permission entails.
Methods Study Design We conducted a structured content analysis of a purposive sample of prominent health and fitness apps available in the United States, Canada, and Australia.
We reached a sample of 50 on January 21, In fact, regulators are beginning to take note of the way that user data travels within app networks.
Abstract Background A great deal of consumer data, collected actively through consumer reporting or passively through sensors, is shared among apps.