Trust Over Time

Summary

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.

Keywords :
artificial intelligence, deep learning, media, trust, interaction design, user perception
Duration

12 months

People involved

Principal investigators

Nicolas Henchoz (EPFL)

Prof. Daniel Gatica-Perez (Idiap Research Institute)

 

Researchers

Delphine Ribes (EPFL)

Lara Défayes (EPFL)

Hélène Portier (EPFL)

Lazar Stojkovic (EPFL)

Thanh-Trung Phan (Idiap Research Institute)

 

Media partners

Vincent Seriot (RTS)

Pietro Rezzonico (RTS)

Academic institutions

EPFL+ECAL Lab (EPFL)

Social Computing Group (Idiap Research Institute)

Media partners

RTS – Radio Télévision Suisse (SRG) – Data and Archives (D+A)

Status

This project started in October 2019 and is ongoing