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Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities.

, , , and . NordiCHI, page 95:1-95:7. ACM, (2020)

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'Transparency is Meant for Control' and Vice Versa: Learning from Co-designing and Evaluating Algorithmic News Recommenders., , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW2): 1-24 (2022)Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms., , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW2): 1-30 (2022)Meaningful interactions lab (Mintlab)., , , , , , , , , and 6 other author(s). Interactions, 26 (5): 16-19 (2019)Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube., , , , and . CoRR, (2020)Exploring Tangible Algorithmic Imaginaries in Movie Recommendations., , , , and . TEI, page 12:1-12:12. ACM, (2021)Agent-Based Simulation for Border Crossing Modeling., , , , , and . Cybern. Syst., 45 (8): 650-670 (2014)Breaking the Fourth Wall: Embodied Interfaces for a Better Algorithmic Experience with Recommender Algorithms.. TEI, page 711-714. ACM, (2019)ARGOS: simulating migration processes (demonstration)., , , , , , and . AAMAS, page 1493-1494. IFAAMAS, (2012)"I Really Don't Know What 'Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms., , , and . INTERACT (3), volume 11748 of Lecture Notes in Computer Science, page 521-541. Springer, (2019)Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities., , , and . NordiCHI, page 95:1-95:7. ACM, (2020)