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Mathematical and Statistical Analysis of Gig Work in the Platform Economy

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Mixed-methods analysis identifies income volatility and algorithmic dispatch issues in gig workers, suggesting regulatory reforms.

High income volatility negatively impacts gig workers' financial stability and well-being.
Opaque algorithmic dispatch systems contribute to biased work allocation and worker dissatisfaction.
A lack of social protections like insurance and paid leave exposes gig workers to significant risks.
Integrated solutions such as fairness-aware machine learning can improve gig work conditions.

Yiming Sun (2025) studied this question.

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