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T.A. Draws (2023), Understanding Viewpoint Biases in Web Search Results, PhD Thesis Delft University of Technology.

Royal Pathak, Francesca Spezzano, Maria Soledad Pera (2023), Understanding the Contribution of Recommendation Algorithms on Misinformation Recommendation and Misinformation Dissemination on Social Networks, In ACM Transactions on the Web Volume 17.

S. Najafian (2023), User Modeling for Privacy-preserving Explanations in Group Recommendations, PhD Thesis Delft University of Technology.

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati (2023), Value- Aware Active Learning, Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi (Eds.), In HHAI 2023 p.215-223, IOS Press.

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati (2023), Value-Based Hybrid Intelligence, Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi (Eds.), In HHAI 2023 p.366-370, IOS Press.

Vivian Van Der Werf, Min Yi Zhang, Efthimia Aivaloglou, Felienne Hermans, Marcus Specht (2023), Variables in Practice. An Observation of Teaching Variables in Introductory Programming MOOCs, In ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education p.208-214, ACM.

Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev (2023), Viewpoint Diversity in Search Results, Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Annalina Caputo, Udo Kruschwitz (Eds.), In Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings p.279-297, Springer.

Nesse van der Meer, Vivian van der Werf, Willem-Paul Brinkman, Marcus Specht (2023), Virtual reality and collaborative learning: A systematic literature review, In Frontiers in Virtual Reality.

Yoon Lee, Gosia Migut, Marcus Specht (2023), What Attention Regulation Behaviors Tell Us About Learners in E-Reading?: Adaptive Data-Driven Persona Development and Application Based on Unsupervised Learning, In IEEE Access Volume 11 p.118890-118906.