CAP-A : a suite of tools for data privacy evaluation of mobile applications

The utilisation of personal data by mobile apps is often hidden behind vague Privacy Policy documents, which are typically lengthy, difficult to read (containing legal terms and definitions) and frequently changing. This paper discusses a suite of tools developed in the context of the CAP-A project, aiming to harness the collective power of users to improve their privacy awareness and to promote privacy-friendly behaviour by mobile apps. Through crowdsourcing techniques, users can evaluate the privacy friendliness of apps, annotate and understand Privacy Policy documents, and help other users become aware of privacy-related aspects of mobile apps and their implications, whereas developers and policy makers can identify trends and the general stance of the public in privacy-related matters. The tools are available for public use in: https://cap-a.eu/tools/

Evaluating the data privacy of mobile applications through crowdsourcing

Consumers are largely unaware regarding the use being made to the data that they generate through smart devices, or their GDPR-compliance, since such information is typically hidden behind vague privacy policy documents, which are often lengthy, difficult to read (containing legal terms and definitions) and frequently changing. This paper describes the activities of the CAP-A project, whose aim is to apply crowdsourcing techniques to evaluate the privacy friendliness of apps, and to allow users to better understand the content of Privacy Policy documents and, consequently, the privacy implications of using any given mobile app. To achieve this, we developed a set of tools that aim at assisting users to express their own privacy concerns and expectations and assess the mobile apps’ privacy properties through collective intelligence

A Rewarding Framework for Crowdsourcing to Increase Privacy Awareness

Part 5: Potpourri IInternational audienceDigital applications typically describe their privacy policy in lengthy and vague documents (called PrPs), but these are rarely read by users, who remain unaware of privacy risks associated with the use of these digital applications. Thus, users need to become more aware of digital applications’ policies and, thus, more confident about their choices. To raise privacy awareness, we implemented the CAP-A portal, a crowdsourcing platform which aggregates knowledge as extracted from PrP documents and motivates users in performing privacy-related tasks. The Rewarding Framework is one of the most critical components of the platform. It enhances user motivation and engagement by combining features from existing successful rewarding theories. In this work, we describe this Rewarding Framework, and show how it supports users to increase their privacy knowledge level by engaging them to perform privacy-related tasks, such as annotating PrP documents in a crowdsourcing environment. The proposed Rewarding Framework was validated by pilots ran in the frame of the European project CAP-A and by a user evaluation focused on its impact in terms of engagement and raising privacy awareness. The results show that the Rewarding Framework improves engagement and motivation, and increases users’ privacy awareness

NatLibFi/Skosmos: Skosmos 2.17

<p>This is a minor version release (2.17) of Skosmos which contains numerous bug fixes, miscellancelous enchancements, and improvements for running Skosmos under Docker. There is also an update to the UI translation in French, Spanish, English and Northern Sámi. Special thanks for active community contributions for this release!</p> <p>This will most likely be the final release in the Skosmos 2 series, unless serious bugs are discovered. Current Skosmos development is focused on Skosmos 3.</p> <h3>Enhancements</h3> <ul> <li>#1380 Autocomplete to support distinguisher labels in case of shared preferred labels (credit: @kouralex)</li> <li>#1377/#1383 Avoid slow HTML parsing in hierarchy sort function</li> <li>#1385 Add support for PHP 8.1 (credit: @kouralex)</li> <li>#1415 Update Fuseki Docker (credit: @nichtich)</li> <li>#1419 Enhance the feature request template with additional instructions</li> <li>#1477 Use Apache Jena Fuseki docker image (credit: @kinow)</li> <li>#1512 Top-level docker-compose.yml (credit: @namedgraph)</li> <li>#1557 Implement max length for input fields on the feedback page (credit: @rvdwxl)</li> </ul> <h3>Bug fixes</h3> <ul> <li>#1343/#1568 Avoid showing vocabulary modified timestamp on concept page when the concept doesn't have a specific modification date</li> <li>#1408/#1409 Skosmos crashes silently on missing void:uriSpace (credit: @nichtich)</li> <li>#1423 fix conversion of DateTime to string in getContainsHtml</li> <li>#1453/#1455 UI language negotiation fix (credit: @namedgraph)</li> <li>#1457 Fixes and unit tests for UI language detection</li> <li>#1529 Show deprecated concepts without replacement in change list</li> <li>#1559 fix guessVocabularyFromURI when some vocabulary has no URI space</li> <li>#1389/#1424 SKOSXL labels displayed multiple times (credit: @henriyli)</li> <li>#1567 Fix feedback form limit php81 deprecation warning</li> </ul> <h3>Code quality and tests</h3> <ul> <li>#1394 CI builds are failing due to dubious ownership in repository at '/app' (credit: @kouralex)</li> <li>#1397 Fix running git commands in CI tests under GitHub Actions</li> <li>#1553 Harden JSONP callback filter</li> </ul> <h3>Translation updates</h3> <ul> <li>#1424 update German & Northern Sámi translations + English language template</li> <li>#1536/#1569 update Spanish UI translations (credit: Meron Ewketu)</li> <li>#1569 update French UI translations (credit: plecor)</li> </ul> <p>See the <a href="https://github.com/NatLibFi/Skosmos/wiki/Upgrading">upgrade instructions</a> in the wiki for information about upgrading from earlier versions.</p&gt