in Digital Democracies» Sina Blassnig1, Edina Strikovic2, Eliza Mitova1, Aleksandra Urman3, Anikó Hannák3, Frank Esser1, & Claes de Vreese2, 1 Department of Communication and Media Research, University of Zürich 2 Amsterdam School of Communication Research, University of Amsterdam 3 Department of Informatics, University of Zürich Contact: [email protected] 25.11.2022 Page 1
make automated and/or personalized recommendations based on metadata, past behavior, ratings of similar users, popularity, and/or content-specific features (Ricci et al., 2011) – NRS can be used on the frontpage of news media websites, below articles, in special sections, for newsletters, etc. 25.11.2022 Page 3
gets left behind if we focus on popularity-based recommenders? what categories, e.g., topics, regions, actors, formats etc. are over- or underrepresented 2) Provide a solution: – What would need to be pushed in a diversity-maximizing recommender? what categories, e.g., topics, regions, actors, formats etc. – Can this be done in a transparent way? E.g., by showing why something is recommended 25.11.2022 Page 5