Informfully @
RecSys '23

More information

Diversity for News Recommenders

Thank you very much for visiting our poster at RecSys '23. On this site, you find all 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.

RecSys '23 Flyer

We prepared a small flyer to complement our poster. Download it here to get a more detailed look at our user study:

RecSys '23 Paper

Click here to download our RecSys '23 paper submission on 'Deliberative Diversity for News Recommenders':

Related Studies

Read our previous journal article on the impact of diviersity-optimized recommenders for participatory diversity:

Research Manifesto

Informfully is part of a research endeavor of investigating the normative aspects of news recommendations. Click here to download our manifesto:

OSCE Policy Manual

We 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:

RecSys '23 NORMalize Workshop Paper

Download the NORMalize paper on stage-based classfication of recommender systems:

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Thank you for your visit!

App Screenshots