Fake texts and multimedia content have become commonplace and seem more and more realistic. This increases the danger in society of becoming a victim of targeted disinformation. Therefore, it is all the more important to reliably detect manipulated content.
The ATHENE research area Reliable and Verifiable Information through Secure Media approaches this in many ways: On the one hand, innovative algorithms for reverse content search are designed to detect forms of text or recordings misuse. On the other hand, automated methods for recognizing synthetically created content make it possible to recognize deepfakes, for example. In addition, content from disinformation campaigns as can be observed in the context of crises and conflicts is being collected and evaluated. From this, patterns are to be derived to develop effective methods for the early detection of corresponding campaigns.
The results will also help with legal questions because there is still a deep gap between the legal regulations, their interpretation and the technical solutions.
Prof. Martin Steinebach