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Alternative credit scoring systems can use data such as rental payments, utility payments, subprime credit, and cell phone bills. [25] Other sources are social media activities, internet browsing history, employment history, student history, past loan application dates and locations, or the method one uses when purchasing gasoline. [26]
[9] [43] [111] [44] [119] Examples of such popular misconceptions include a widespread misassumption that Chinese citizens are rewarded and punished based on a numerical score (social credit score) assigned by the system, that its decisions are taken by AI and that it constantly monitors Chinese citizens. [10] [111] [39] [120] [7] [8]
The scoring system has also been studied as a form of classification to shape an individual's life-chances—a form of economic inequality. [62] The classification scheme is necessitated by the loss of collective social services and risk. [63] The credit scoring system in the United States is similar to the Social Credit System in China. [64]
It assigns scores to individuals based on risk factors; a higher score reflects higher risk. The score reflects the level of risk in the presence of some risk factors (e.g. risk of mortality or disease in the presence of symptoms or genetic profile, risk financial loss considering credit and financial history, etc.).
Credit scores usually range from 300 to 850 showing the customer's creditworthiness. A customer with a high credit score shows that they are creditworthy and banks will have no problem giving them a loan. If a customer has a low credit score then banks would be hesitant to give out a loan and if they do it might be with a higher interest rate. [7]
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Connect (financial services company) Credit bureau; Credit bureaus in the Philippines; Credit Karma; Credit scorecards; CRIF High Mark Credit Information Services; Criticism of credit scoring systems in the United States
A social scoring function maps each candidate to a number representing their quality. For example, the standard social scoring function for first-preference plurality is the total number of voters who rank a candidate first. Every social ordering can be made into a choice function by considering only the highest-ranked outcome.