The ubiquity of smartphones has led to the emergence of mobile crowdsourcing tasks such as the detection of spatial events when smartphone users move around in their daily lives. However, the credibility of those detected events can be negatively impacted by unreliable participants with lowquality data. Consequently, a major challenge in quality control is to discover true events from diverse and noisy participants’ reports.

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