A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet

Schufrin, Marija; Reynolds, Steven Lamarr; Kuijper, Arjan; Kohlhammer, Jörn

doi:10.1109/tvcg.2020.3028946

Cited by 13 publications

(9 citation statements)

References 17 publications

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“…With regard to web tracking, the most common transparency tools provide information about: 1) which trackers are present in a website, (e.g., ad blockers like Ghostery [25]), and 2) why specific ads are shown to a user (e.g., the AdChoices icon [37]). Furthermore, there is extensive work on privacy or transparency dashboards to allow online service users exploring and managing data collected about them [34,49,57,62,65]. Research so far has shown that these tools are limited, often incomplete or imprecise, and sometimes misleading [3,70].…”

Section: Transparency Toolsmentioning

confidence: 99%

'Surprised, Shocked, Worried'}: User Reactions to Facebook Data Collection from Third Parties

Arias-Cabarcos

Khalili

Strufe³

2023

PoPETs

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Data collection and aggregation by online services happens to an extent that is often beyond awareness and comprehension of its users. Transparency tools become crucial to inform people, though it is unclear how well they work. To investigate this matter, we conducted a user study focusing on Facebook, which has recently released the 'Off-Facebook Activity' transparency dashboard that informs about personal data collection from third parties. We exposed a group of n = 100 participants to the dashboard and surveyed their level of awareness and reactions to understand how transparency impacts users' privacy attitudes and intended behavior. Our participants were surprised about the massive amount of collected data, became significantly less comfortable with data collection, and more likely to take protective measures. Collaterally, we observed that current consent schemes are inadequate. Based on the survey findings, we make recommendations for more usable transparency and highlight the need to raise awareness about transparency tools and to provide easily actionable privacy controls.

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Section: Transparency Toolsmentioning

confidence: 99%

'Surprised, Shocked, Worried'}: User Reactions to Facebook Data Collection from Third Parties

Arias-Cabarcos

Khalili

Strufe³

2023

PoPETs

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“…PrivOnto [117] employs a semantic framework to express data practices in privacy policies and visualise them using a web interface. In addition, Schufrin et al [140] proposed a web-based tool that allows users to interactively explore the temporal aspect of data collected from various online services.…”

Section: User-centered Privacy Management In the Web And Mobile Eramentioning

confidence: 99%

“…Privacy Bird [41] PrivacyCheck [161] Privee [169] CPPs [119] Nutrition Label for privacy [83] PrimeLife [54] Send data [11] VIPP [130] PPO [108] SweetDroid [31] Prihook [152] PPVM [62] Data Track [10] Poli-see [70] Privacy Wheel [153] TransparencyVis [140] Privacy Facts [84] Habib et al [72] Privacy Booklets [125] PEOPLEFINDER [136] Scipioni and Langheinrich [ PILOT [122] IoT Refine [154] Transparency app [50] Data type (What?) Defines collected data type.…”

Section: Web and Mobile Iotmentioning

confidence: 99%

“…Figure 9 (ii) demonstrates the use of text from the presentation step in a coloured wheel framing to visually assist users in understating the usage of their data. Furthermore, Schufrin et al [140] proposed a web-based tool called TransparencyVis that allows users to visually and interactively explore the collected data. Ghazinour et al [62] presented a model for privacy policy visualisation PPVM using a house symbol and multiple nodes.…”

Section: 12mentioning

confidence: 99%

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Interactive Privacy Management: Toward Enhancing Privacy Awareness and Control in the Internet of Things

Muhander

Wiese

Rana

et al. 2023

ACM Trans. Internet Things

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The balance between protecting user privacy while providing cost-effective devices that are functional and usable is a key challenge in the burgeoning Internet of Things (IoT). While in traditional desktop and mobile contexts, the primary user interface is a screen, in IoT devices, screens are rare or very small, invalidating many existing approaches to protecting user privacy. Privacy visualisations are a common approach for assisting users in understanding the privacy implications of web and mobile services. To gain a thorough understanding of IoT privacy, we examine existing web, mobile, and IoT visualisation approaches. Following that, we define five major privacy factors in the IoT context: (i) type, (ii) usage, (iii) storage, (iv) retention period, and (v) access. We then describe notification methods used in various contexts as reported in the literature. We aim to highlight key approaches that developers and researchers can use for creating effective IoT privacy notices that improve user privacy management (awareness and control). Using a toolkit, a use case scenario, and two examples from the literature, we demonstrate how privacy visualisation approaches can be supported in practice.

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“…With regard to web tracking, the most common transparency tools provide information about: 1) which trackers are present in a website, (e.g., ad blockers like Ghostery [25]), and 2) why specific ads are shown to a user (e.g., the AdChoices icon [38]). Furthermore, there is extensive work on privacy or transparency dashboards to allow online service users exploring and managing data collected about them [35,50,58,63,66]. Research so far has shown that these tools are limited, often incomplete or imprecise, and sometimes misleading [3,72].…”

Section: Transparency Toolsmentioning

confidence: 99%

'Surprised, Shocked, Worried': User Reactions to Facebook Data Collection from Third Parties

Arias-Cabarcos¹,

Khalili²,

Strufe³

2022

Preprint

View full text Add to dashboard Cite

Data collection and aggregation by online services happens to an extent that is often beyond awareness and comprehension of its users. Transparency tools become crucial to inform people, though it is unclear how well they work. To investigate this matter, we conducted a user study focusing on Facebook, which has recently released the "Off-Facebook Activity" transparency dashboard that informs about personal data collection from third parties. We exposed a group of n = 100 participants to the dashboard and surveyed their level of awareness and reactions to understand how transparency impacts users' privacy attitudes and intended behavior. Our participants were surprised about the massive amount of collected data, became significantly less comfortable with data collection, and more likely to take protective measures. Collaterally, we observed that current consent schemes are inadequate. Based on the survey findings, we make recommendations for more usable transparency and highlight the need to raise awareness about transparency tools and to provide easily actionable privacy controls.

show abstract

A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet

Cited by 13 publications

References 17 publications

'Surprised, Shocked, Worried'}: User Reactions to Facebook Data Collection from Third Parties

'Surprised, Shocked, Worried'}: User Reactions to Facebook Data Collection from Third Parties

Interactive Privacy Management: Toward Enhancing Privacy Awareness and Control in the Internet of Things

'Surprised, Shocked, Worried': User Reactions to Facebook Data Collection from Third Parties

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