Recommendation algorithms assume people are reducible to neighborhood-defined types, reinforcing redlining logics.

Evidence

Chun argues that recommendation engines and risk-prediction tools assume people are reducible to neighborhood-defined types, reinforcing redlining-era logics. The pillars synthesize in the correlation as communication object. A canonical cross-pillar text. — , The Braided Reading EPUB, 747

Categorization

  • XREF: Connects to Roberts’s algorithmic risk-prediction work in child welfare and Browne’s surveillance theory in this same curriculum. — connects to: Individuality emerges from the layering and clash of overlapping social types — Janet Burroway; Elizabeth Stuckey-French; Ned Stuckey-French, Writing Fiction, Tenth Edition: A Guide…, 284; Classification systems function like surrealist art in revealing new relationships — Schafer, Murray R, The Soundscape- Our Sonic Environment…, 458; Strangers are perceived by type rather than as individuals — Georg Simmel, on individuality and social forms_…, 401 (+3 more)

Broader Connections