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In a quiet data science lab nestled within a southeastern US university campus, an interdisciplinary research team traced the contours of algorithmic bias in recommendation systems through ethnographic observation of a corpus of subreddit comments. Their findings revealed qualitative themes around trust and hesitation, a fragile signal shimmering through digital noise—suggesting that design itself must learn to listen before it decides.