2020 IEEE Symposium on Visualization for Cyber Security (VizSec) 2020
DOI: 10.1109/vizsec51108.2020.00007
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A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet

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Cited by 5 publications
(4 citation statements)
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“…Focusing primarily on privacy and data protection goals, softcoding methods aim at the provision of information, thus enabling users to have control over their privacy. The most common examples of softcoding include visual presentation interfaces that enhance user choice (Schufrin et al, 2020;Vasylkovskyi et al, 2021), consent-based frameworks (Agbo & Mahmoud, 2020; Khalid et al, 2023), and privacy self-management (Lobner et al, 2021).…”
Section: Methods Of Regulation By Designmentioning
confidence: 99%
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“…Focusing primarily on privacy and data protection goals, softcoding methods aim at the provision of information, thus enabling users to have control over their privacy. The most common examples of softcoding include visual presentation interfaces that enhance user choice (Schufrin et al, 2020;Vasylkovskyi et al, 2021), consent-based frameworks (Agbo & Mahmoud, 2020; Khalid et al, 2023), and privacy self-management (Lobner et al, 2021).…”
Section: Methods Of Regulation By Designmentioning
confidence: 99%
“…The CS literature typically focuses on low-level goals. Scholars have formulated methodologies for embedding privacy by design (Karim & Rawat, 2022;Thapa & Camtepe, 2021;Zalloum & Alamleh, 2020), for transparency by design (Schufrin et al, 2020), and for security by design (Tareke et al, 2018). Privacy by design often involves data protection and security because the solutions entail minimising data use (Conte et al, 2022) and making data more secure (Toli & Preneel, 2018), less accessible and less widely distributed (Zalloum & Alamleh, 2020).…”
Section: Loyaltymentioning
confidence: 99%
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“…Research on usable privacy that addresses issues under contemporary privacy law has focused almost exclusively on the needs of data subjects outside the employment context, including: (1) Examining the effectiveness and behavioral impact of transparency enhancing tools [163,206,207,208] or provide the ability to intervene and consent [209,210,211]; (2) examining the compliance of such tools with the GDPR's demand to provide information on processing to data subjects "in a concise, transparent, intelligible and easily accessible form, using clear and plain language" [108,198,212]; (3) examining users' perceptions of their (new) rights introduced by the GDPR [213,214]; and (4) designing new tools that comply with both legal and user requirements [19,208,209,215,216]. The few exceptions in the employment context are presented later in Chapter 3.…”
Section: Usable Privacymentioning
confidence: 99%