In today’s media environment, it is becoming increasingly difficult to distinguish between journalistic content and other types of content that do not share the same quality standards. This project aims to develop and evaluate a comprehensive labelling system to identify and certify content originally produced by journalists, in order to promote it and differentiate it from non-journalistic content, especially misinformation. Furthermore, to encourage a broad adoption by the media, the project considers the perception and impact that such a label would have on the readership, and seeks an architecture that leverages existing solutions and integrates seamlessly with the publishing workflows of partner media outlets.
The proof of concept of the system that was designed and developed as part of this project allows content to be labeled automatically (through third-party online services) and manually (through a self-assessment by the journalist or the editor), and demonstrates how a labeled article can be verified and traced by the readers after publication. The source code of the system is available to allow any media organization to evaluate it within their workflow and with their readership.
Presentation of the project results at the IMI Annual Event (24.09.2020)
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