Files in this item

FilesDescriptionFormat

application/pdf

application/pdfShilton229.pdf (192kB)
(no description provided)PDF

application/octet-stream

application/octet-streamShilton229.epub (23kB)
(no description provided)Unknown

Description

Title:Because privacy: defining and legitimating privacy in ios development
Author(s):Shilton, Katie; Greene, Daniel
Subject(s):Privacy
mobile development
discourse analysis
values in design
Abstract:Privacy is a critical challenge for the mobile application ecosystem. US policy approaches to mobile data protection rely on privacy by design: approaches that encourage developers to proactively implement privacy features to protect sensitive data. But we know little about how application developers define privacy, how they decide to implement privacy features, and what might motivate them to consider privacy as a primary design value. This project identifies these factors by investigating the discussion of privacy as a professional practice within a community of mobile application developers. Analyzing posts on an iOS forum reveals that privacy is a frequent topic of conversation in this community. This paper describes how iOS developers define and legitimate privacy, and reveals a challenge: iOS developers rely heavily on a definition of privacy provided by Apple which does not reflect current empirical or theoretical understandings of how users understand privacy. Understanding this challenge can help us shape better guidelines for privacy by design, and broach challenges to the widespread adoption of privacy by design principles.
Issue Date:2016-03-15
Publisher:iSchools
Citation Info:NA
Series/Report:IConference 2016 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/89316
DOI:10.9776/16229
Rights Information:Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2016-03-08


This item appears in the following Collection(s)

Item Statistics