In the digital age, news consumers experience increasing difficulty in distinguishing genuine from false information and, as a result, their trust in the media is being severely undermined. This project aims to develop a web platform to explore the Swiss and global news landscape in order to better understand its structure and the dynamics at play. The platform, called News-Teller, captures, processes and references over 1.5 million news articles per month in 4 languages with improved context. Computational methods have been developed to enrich data in several dimensions, including reaction signals extracted from social media and news channel characteristics. These characteristics are intended to help the public distinguish between the myriad of existing channels, which can vary greatly in quality and credibility. In addition, reaction of online audiences can enable journalists to identify and address controversial or polarizing issues more effectively.

Furthermore, the close partnership with Le Temps has led to the emergence of new forms of interaction between journalists and scientists, resulting in the publication of a data-supported article on the mediatization of Covid-19. Two international workshops and an interest group have also been set up on topics addressed by the project in order to develop international academic collaborations.

A follow-up to this project started in 2020.

Presentation of the project results at the IMI Annual Event (24.09.2020)

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This project has been co-sponsored by OFCOM.