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Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Short-form video platforms use recommender systems to maximize engagement through highly efficient personalized recommendations. However, the impact of these recommendations on users with ADHD compared to users without ADHD remains underexplored. Through this study, we introduce and operationalize the Engagement Trap, illustrating how recommender systems, while successfully optimizing for engagement, disproportionately disadvantage users with ADHD. This stratified study of 302 participants, recruited via the online platform Prolific, compares experiences between participants with and without A

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