frictional
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AI detection
Bayesian inference
HEP framework
Spotify audit
algorithmic accountability
assessment
bot detection
cognitive load
coordinated removal score
desirable difficulties
follower conversion rate
formative assessment
friction traces
generative AI
genre entropy
genuine learning
ghost artists
learning analytics
music platform economics
process evidence
recommendation graph contamination
streaming fraud
Frictional — Measuring the Struggle
A formally specified probabilistic framework for measuring process friction traces as independent evidence of genuine learning in the age of generative AI. Introduces the Genuine Learning Probability (GLP) methodology for educators assessing authentic cognitive engagement.
assessment
generative AI
learning analytics
+7 moreMeasuring Musical Friction: A Probabilistic Framework for Detecting Graph Contamination in Music Streaming Platforms
The Human Engagement Probability (HEP) framework — a probabilistic methodology for detecting recommendation graph contamination in music streaming platforms using only public API signals. Defines seven observable friction components and combines them into a Bayesian posterior. Validated against 40 confirmed ghost artists. Achieves 0.97 AUC composite. Designed as an independent audit tool requiring no platform cooperation.
HEP framework
streaming fraud
recommendation graph contamination
+9 more