While advances in automated fact-checking are critical in the fight against the spread of misinformation in social media, we argue that more attention is needed in the domain of unfalsifiable claims. In this talk, we outline some promising directions for identifying the prevailing narratives in shared content (image & text) and explore how the associated learned representations can be used to identify misinformation campaigns and sources of polarization.
Serge Belongie is a professor of Computer Science at the University of Copenhagen, where he also serves as the head of the Pioneer Centre for Artificial Intelligence. His research interests include Computer Vision, Machine Learning, Augmented Reality, and Human-in-the-Loop Computing.