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Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study.

, , and . UMAP, page 183-191. ACM, (2020)

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Order of Control and Perceived Control over Personal Information., , and . CoRR, (2020)An empirical investigation on user understanding of algorithms.. University of Duisburg-Essen, Germany, (2022)Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile Perceptions., , , and . CHI, page 160:1-160:11. ACM, (2021)Exploring folk theories of algorithmic news curation for explainable design., and . Behav. Inf. Technol., 41 (15): 3346-3359 (2022)Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System., , , , , , and . CoRR, (2023)Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study., , , , , , and . UMAP (Adjunct Publication), page 175-183. ACM, (2022)Order of Control and Perceived Control over Personal Information., , and . Privacy and Identity Management, volume 576 of IFIP Advances in Information and Communication Technology, page 359-375. Springer, (2019)Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study., , and . UMAP, page 183-191. ACM, (2020)Spot the bot: Investigating user's detection cues for social bots and their willingness to verify Twitter profiles., , , , and . Comput. Hum. Behav., (September 2023)Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System., , , , , , and . UMAP, page 254-264. ACM, (2022)