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

Schufrin, Marija and Reynolds, Steven Lamarr and Kuijper, Arjan and Kohlhammer, Jorn (2020):
A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet.
IEEE, 2020 IEEE Symposium on Visualization for Cyber Security (VizSec), virtual Conference, 28.Oct. 2020, ISBN 978-1-7281-8262-9,
DOI: 10.1109/VizSec51108.2020.00007,
[Conference or Workshop Item]

Abstract

Online services are used for all kinds of activities, like news, entertainment, publishing content or connecting with others. But information technology enables new threats to privacy by means of global mass surveillance, vast databases and fast distribution networks. Current news are full of misuses and data leakages. In most cases, users are powerless in such situations and develop an attitude of neglect for their online behaviour. On the other hand, the GDPR (General Data Protection Regulation) gives users the right to request a copy of all their personal data stored by a particular service, but the received data is hard to understand or analyze by the common internet user. This paper presents TransparencyVis - a web-based interface to support the visual and interactive exploration of data exports from different online services. With this approach, we aim at increasing the awareness of personal data stored by such online services and the effects of online behaviour. This design study provides an online accessible prototype and a best practice to unify data exports from different sources.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Schufrin, Marija and Reynolds, Steven Lamarr and Kuijper, Arjan and Kohlhammer, Jorn
Title: A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet
Language: English
Abstract:

Online services are used for all kinds of activities, like news, entertainment, publishing content or connecting with others. But information technology enables new threats to privacy by means of global mass surveillance, vast databases and fast distribution networks. Current news are full of misuses and data leakages. In most cases, users are powerless in such situations and develop an attitude of neglect for their online behaviour. On the other hand, the GDPR (General Data Protection Regulation) gives users the right to request a copy of all their personal data stored by a particular service, but the received data is hard to understand or analyze by the common internet user. This paper presents TransparencyVis - a web-based interface to support the visual and interactive exploration of data exports from different online services. With this approach, we aim at increasing the awareness of personal data stored by such online services and the effects of online behaviour. This design study provides an online accessible prototype and a best practice to unify data exports from different sources.

Publisher: IEEE
ISBN: 978-1-7281-8262-9
Uncontrolled Keywords: Information visualization, Interactive web applications, Usability, Data visualization, Visual analytics
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: 2020 IEEE Symposium on Visualization for Cyber Security (VizSec)
Event Location: virtual Conference
Event Dates: 28.Oct. 2020
Date Deposited: 22 Feb 2021 07:34
DOI: 10.1109/VizSec51108.2020.00007
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