2020/09/07 by Marija Schufrin, Steven Lamarr Reynolds, Schufrin, Marija +5
Computer Science · Decision Sciences · Social Sciences · #Data Quality and Management #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
paper · pdf · doi:10.48550/arxiv.2009.02998
openalex publication_date 2020/09/07 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Online services are used for all kinds of activities, like news,\nentertainment, publishing content or connecting with others. But information\ntechnology enables new threats to privacy by means of global mass surveillance,\nvast databases and fast distribution networks. Current news are full of misuses\nand data leakages. In most cases, users are powerless in such situations and\ndevelop an attitude of neglect for their online behaviour. On the other hand,\nthe GDPR (General Data Protection Regulation) gives users the right to request\na copy of all their personal data stored by a particular service, but the\nreceived data is hard to understand or analyze by the common internet user.\nThis paper presents TransparencyVis - a web-based interface to support the\nvisual and interactive exploration of data exports from different online\nservices. With this approach, we aim at increasing the awareness of personal\ndata stored by such online services and the effects of online behaviour. This\ndesign study provides an online accessible prototype and a best practice to\nunify data exports from different sources.\n