Vera Schmitt from the XplaiNLP Group at TU Berlin presented the news-polygraph project at the Falling Walls Science Summit in Berlin, in collaboration with the German Research Center for Artificial Intelligence (DFKI), as part of the AI Night during Berlin Science Week. Event details
Advancing Multimodal Disinformation Detection
As Germany’s largest research initiative focused on addressing multimodal misinformation and disinformation, news-polygraph tackles one of today’s most pressing challenges. By integrating state-of-the-art deep learning methods with a strong emphasis on explainability and transparency, the platform empowers users to identify and understand false and misleading content.
In collaboration with Tim Polzehl and his team from the DFKI, as well as other partners, the XplaiNLP Group at TU Berlin is developing innovative solutions to enhance multimodal disinformation detection.
Insights from the Summit
The summit provided an opportunity for valuable discussions with leading experts, including Richard Socher from You.com, Jack Thoms from BIFOLD – Berlin Institute for the Foundations of Learning and Data, Matthias Bethge from the Tübingen AI Center, and Susanne C. from Technische Universität Berlin, among others.
Engaging with the research community at this event was an enriching experience, and news-polygraph looks forward to participating again next year to continue driving advancements in disinformation detection.
