Study Finds Recommender Algorithms Favor Shallow Content, Ignoring Cognitive Depth
_reachsumit · x · 2026-08-17
Problem: Driven by the attention economy, short-video recommenders optimize for immediate engagement, inherently favoring "shallow content" that may negatively affect users' cognitive engagement and mental well-being.
New Metric: The paper introduces the "Content Depth Score (CDS)," a 7-level scale grounded in cognitive psychology to quantify how much a video stimulates higher-order cognitive processes.
Findings: Evaluations on SCOPE-Bench (150K annotated videos) reveal that 13 representative recommender systems consistently prefer shallow-content videos. Algorithms require specific optimization to prioritize cognitive depth.
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