Natural language texts are still a relatively unexplored data source in the quest for digital privacy. Leveraging this, we present an automatic labelling of texts related to Android apps. This framework relies on state-of-the-art Natural Language Processing (NLP) and deep learning techniques and will be accessible from a user-friendly dashboard.

What can we do when a technology created to promote commercial products is used to influence people’s political opinions?

In Android, most apps include functionality from third-party libraries (SDKs) in an attempt by developers to reduce the cost of building an app. However, it is important to understand the privacy risks that these SDKs can pose to the users of the app. In this blog post, we discuss these risks, as well as why it is important that developers understand the type of content that third-party libraries are including in their app.

By providing tools for key Protecting privacy and digital security are becoming increasingly important in everyday life. A lack of trust in software and how it deals with or exposes personal information could negatively impact consumers and the wider EU digital market. Privacy, security and trust in software are promoted by the TRUST aWARE project. They are also, in themselves, philosophical and ethical concepts, but what do they mean in the context of TRUST aWARE?

By providing tools for key stakeholders along the whole cycle, and supporting cooperation and intelligence sharing, TRUST aWARE will minimise the impact of cyberthreats, empowering users, promoting collective awareness, and encouraging trustworthy S&P-preserving digital products in compliance with regulation.