The Cost of Losing Serendipity in Algorithmic Discovery
Host Leslie Poston discusses how algorithmic recommendation systems have replaced everyday accidental discovery, reducing serendipity and narrowing what people encounter. The episode explains psychological and neuroscience research showing novelty’s role in motivation, attention, learning, and memory (including locus coeruleus activation), the inverted-U relationship between complexity and curiosity, and how habituation can flatten engagement when stimuli stay too familiar. Poston contrasts this with the mere exposure effect (Zajonc) and processing fluency, arguing platforms reinforce and shape preferences through repeated exposure, producing “adjacent novelty” rather than true surprise. She links personalization to self-concept via the looking-glass self and self-perception theory, describing identity-shaping pipelines, and argues personalization reduces shared cultural overlap, contributing to epistemological fragmentation. Practical suggestions include turning off autoplay, browsing physical spaces, reading outside one’s interests, and holding preferences lightly to preserve room for the unexpected.
00:00 Welcome and Setup 01:16 What Serendipity Means 02:03 From Browsing to Algorithms 03:10 Novelty and Learning Science 05:12 Mere Exposure and Reinforced Taste 07:48 Adjacent Novelty Trap 09:29 Algorithms and Identity Mirrors 11:55 Shared Culture and Fragmentation 13:33 Agency and Slow Effects 16:37 Reclaiming the Unexpected 18:34 Closing Thoughts 19:19 Outro and Subscribe
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Dr. Leslie Poston, Research Psychologist: Applied Psychology, Media Psychology, Organizational Psychology. Innehållet i podden är skapat av Dr. Leslie Poston, Research Psychologist: Applied Psychology, Media Psychology, Organizational Psychology och inte av,
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