This project anticipates the growing risk for media outlets to publish erroneous information as they rely more and more on algorithms to produce and distribute their content. In particular, it aims to develop and evaluate a content aggregator based on artificial intelligence that combines news stories, archives and social network content, using a design approach that allows users to see in a transparent way the source of journalistic content, as well as the decisions made by the algorithms, in order to increase their perception of trust.

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

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