Runner-ups
summary
Classifies gig workers into 4 worker types and maps the decision points where platform algorithms shape earnings and behavior, arguing for a humans and algorithms model that is partly cooperative and partly extractive. Reports field research with roughly 230 interviews and 300+ observed shifts, builds simple prototypes (onboarding tweaks, peer-network nudges) and finds they raise belonging and short‑term retention but do not close structural income volatility, leaving policy and business-model fixes still necessary.
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chapters (6)
- 0:00Start
- 2:35Gig workers: the 4 Types.
- 9:52Humans and Algorithms.
- 15:28Symbiotic Relationship.
- 17:25Designing for Belonging and Trust
- 26:39Perspectives, Stories, Experiences
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