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In a 7-day auction, they sold their data as commodities and earn money. We first designed a total of 49 commodities with 8 attributes, covering 14 common types of personal data on smartphones. Then, through a large-scale reverse second price auction (N=181), we examined students' valuation of 15 representative commodities. The average bid-price was 62.8 CNY (8.68 USD) and a regression model with 14 independent variables found the most influential factors for bid-price to be privacy risk, ethnic and gender. When validating our results on non-students (N=34), we found that despite they gave significantly higher prices (M=109.8 CNY, 15.17 USD), \"privacy risk\" was still one of the most influential factors among the 17 independent variables in the regression model. 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