The aggregation of editorial content with other media resources contributes to the enhancement of media production. This project combines several deep learning techniques to reduce the risk of generating false aggregations, and translates the resulting credibility boost into added value that can be perceived by users.
artificial intelligence, deep learning, media, trust, interaction design, user perception
Nicolas Henchoz (EPFL)
Prof. Daniel Gatica-Perez (Idiap Research Institute)
EPFL+ECAL Lab (EPFL)
Social Computing Group (Idiap Research Institute)
RTS – Radio Télévision Suisse (SRG) – Data and Archives
This project is expected to start in October 2019