📊 Real-time monitoring
Look at how your users rate and engage with the recommended content. All interactions can be monitored online and exported.


Thank you very much for visiting our poster at RecSys '23. On this site, you will find all the information and documents related to our RecSys submission. You can also take a look at our Informfully news app. The app is part of ongoing research in the domain of media consumption and AI. You can get more information here.
We prepared a small flyer to complement our poster. Download it here to get a more detailed look at our user study:
Download FlyerClick here to download our RecSys '23 paper submission on 'Deliberative Diversity for News Recommenders':
Download RecSys PaperRead our previous journal article on the impact of diversity-optimized recommenders for participatory diversity:
Download Research PaperInformfully is part of a research endeavor of investigating the normative aspects of news recommendations. Click here to download our manifesto:
Download ManifestoWe take part in the discussion of the impact of algorithmic content curation and AI at the OSCE level. Click here to get the most recent policy manual:
OSCE Policy ManualDownload the NORMalize paper on stage-based classification of recommender systems:
Download NORMalize Workshop Paper