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Identifier 000416937
Title CAPPA : a collective awareness platform for privacy policy annotation
Alternative Title CAPPA: μία πλατφόρμα συλλογικής επίγνωσης για επισημειώσεις πολιτικών απορρήτου
Author Χόμπης, Γεώργιος Α.
Thesis advisor Πλεξουσάκης, Δημήτρης
Reviewer Μαρκάτος, Ευάγγελος
Φλουρής, Γεώργιος
Abstract The huge expansion of digital products and the corresponding user generated and gathered data have raised the importance of users privacy and privacy concerns. Currently, businesses and organizations around the world are enforced by law (e.g. the EU General Data Protection Regulation - GDPR) to provide information about how customers' data is being treated, usually in the form of privacy policy documents. Despite the fact that such regulations try primarily to give control back to citizens over their personal data, it's a common case that users are not engaged in this process. Since such documents are usually long and hard to read, users are not willing to spend a lot of time to read and understand them. A current direction for addressing this problem is towards enriching privacy policy documents with annotations either through expert users or machine learning algorithms. In this thesis, we designed and implemented an online crowdsourcing platform that allows users to explore, annotate and review privacy policies of any kind of digital product (e.g. mobile applications, websites, appliances, etc.) in a friendly way. The platform is part of the tools designed for the CAPrice community, a collective awareness platform for privacy concerns and expectations. Privacy policies are being annotated using a predefined set of tags, designed to address user concerns about what data are being collected and processed, by whom, for how long they are retained, how they are secured, and other privacy concerns. Users can contribute by adding entities like digital products, privacy policies, and annotations to documents or by reviewing entities added by other users. The platform helps and engages users towards this quest through various engagement tools (e.g. user scores) and document analysis tools (e.g. readability scores of privacy policies). An annotation can be considered as a valid or invalid one, based on the votes of the users and their aggregated score obtained using the Wilson score interval. The aim is to provide a collaborative crowdsourcing platform that will be considered the reference for user annotated privacy policy documents, for users, developers, researchers and policy makers. Towards this direction we have designed a ReST API that provides access to the database of digital products and their annotated privacy policies. As a result, this information can be exploited for the development of third party tools and algorithms. We conducted a user-based evaluation of our platform, where users were split in two groups. Each group was asked to annotate a specific set of privacy policies obtained from the OPP-115 dataset, which is an expert-based annotated collection of privacy policies. Then each group had to review/vote the annotations of the other group and fill in the corresponding questionnaire. The analysis of the results shows the user friendliness of our platform and that the gathered crowd-sourced privacy policy annotations are of high importance and quality, comparable to annotations created by expert users.
Language English
Subject Caprice
Πολιτική απορρήτου
Issue date 2018-07-20
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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