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Quantifying spatial under-reporting disparities in resident crowdsourcing - Nature Computational Science

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Quantifying spatial under-reporting disparities in resident crowdsourcing - Nature Computational Science

Modern city governance relies heavily on crowdsourcing to identify problems such as downed trees and power lines. A major concern is that residents do not report problems at the same rates, with heterogeneous reporting delays directly translating to downstream disparities in how quickly incidents can be addressed. Here we develop a method to identify reporting delays without using external ground-truth data.

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Quantifying spatial under-reporting disparities in resident crowdsourcing - Nature Computational Science

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Quantifying spatial under-reporting disparities in resident crowdsourcing - Nature Computational Science

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