| Benefits of Diverse News Recommendations for Democracy: A User Study L Heitz, JA Lischka, A Birrer, B Paudel, S Tolmeijer, L Laugwitz, ... Digital Journalism 10 (10), 1710-1730, 2022 | 120 | 2022 |
| Diversity in News Recommendation A Bernstein, C De Vreese, N Helberger, W Schulz, K Zweig, C Baden, ... Dagstuhl Manifestos 9 (1), 43-61, 2021 | 72 | 2021 |
| Exploring Graph-Querying Approaches in LifeGraph L Rossetto, M Baumgartner, R Gasser, L Heitz, R Wang, A Bernstein Proceedings of the 4th Annual Lifelog Search Challenge, 7-10, 2021 | 30 | 2021 |
| Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study L Heitz, JA Lischka, R Abdullah, L Laugwitz, H Meyer, A Bernstein Proceedings of the 17th ACM Conference on Recommender Systems, 813-819, 2023 | 16 | 2023 |
| An Empirical Exploration of Perceived Similarity Between News Article Texts and Images L Heitz, A Bernstein, L Rossetto Working Notes Proceedings of the 14th Annual MediaEval Workshop, 2024 | 15 | 2024 |
| VideoGraph – Towards Using Knowledge Graphs for Interactive Video Retrieval L Rossetto, M Baumgartner, N Ashena, F Ruosch, R Pernisch, L Heitz, ... International Conference on Multimedia Modeling, 417-422, 2021 | 15 | 2021 |
| NewsImages in MediaEval 2025 – Comparing Image Retrieval and Generation for News Articles L Heitz, L Rossetto, B Kille, A Lommatzsch, M Elahi, DT Dang-Nguyen | 12 | 2025 |
| Informfully – Research Platform for Reproducible User Studies L Heitz, JA Croci, M Sachdeva, A Bernstein Proceedings of the 18th ACM Conference on Recommender Systems, 660-669, 2024 | 11 | 2024 |
| Spotlight on Artificial Intelligence and Freedom of Expression: A Policy Manual H Sargeant, E Pirkova, MC Kettemann, M Wisniak, M Scheinin, ... Organization for Security and Co-operation in Europe (OSCE), 2022 | 11 | 2022 |
| Prompt-Based Alignment of Headlines and Images Using OpenCLIP L Heitz, YK Chan, H Li, K Zeng, A Bernstein, L Rossetto Working Notes Proceedings of the 14th Annual MediaEval Workshop, 2024 | 9 | 2024 |
| Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge L Heitz, O Inel, S Vrijenhoek Proceedings of the Recommender Systems Challenge 2024, 2024 | 8 | 2024 |
| IDEA – Informfully Dataset with Enhanced Attributes L Heitz, N Mattis, O Inel, W van Atteveldt Proceedings of the Second Workshop on the Normative Design and Evaluation of …, 2024 | 5 | 2024 |
| Classification of Normative Recommender Systems L Heitz Proceedings of the First Workshop on the Normative Design and Evaluation of …, 2023 | 5 | 2023 |
| AI in Content Curation and Media Pluralism L Heitz, K Rozgonyi, B Kostic, D Wagner, J Haas Organization for Security and Co-operation in Europe (OSCE), 56-70, 2021 | 3 | 2021 |
| D-RDW: Diversity-Driven Random Walks for News Recommender Systems R Li, L Heitz, O Inel, A Bernstein Proceedings of the 19th ACM Conference on Recommender Systems, 558-563, 2025 | 2 | 2025 |
| Informfully Recommenders – Reproducibility Framework for Diversity-aware Intra-session Recommendations L Heitz, R Li, O Inel, A Bernstein Proceedings of the 19th ACM Conference on Recommender Systems, 792-801, 2025 | 2 | 2025 |
| Nudges for News Recommenders: Prominent Article Positioning Increases Selection, Engagement, and Recall of Environmental News, but Reducing Complexity Does Not N Mattis, L Heitz, PK Masur, J Moeller, W van Atteveldt Journal of Communication, jqaf019, 2025 | 1 | 2025 |
| Adaptive Political Surveys and GPT-4: Tackling the Cold Start Problem with Simulated User Interactions F Bachmann, D van der Weijden, L Heitz, C Sarasua, A Bernstein PLoS One 20 (5), 2025 | 1 | 2025 |
Abraham BernsteinProfessor of Computer Science, University of ZurichVerified email at ifi.uzh.ch
