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The origin of the Social Credit System can be traced back to the early 1990s as part of attempts to develop personal banking and financial credit rating systems in China, and was inspired by Western commercial credit systems like FICO, Equifax, and TransUnion. [17]
The system is powered by "data from more than 300 million real-name registered users and 37 million small businesses that buy and sell on Alibaba Group marketplaces". Due to Zhima Credit's close collaboration with the government, it also has access to all public documents, such as official identity and financial records.
This data is not pre-processed List of GitHub repositories of the project: Red Hat partner This data is not pre-processed List of GitHub repositories of the project: IBM Repositories This data is not pre-processed List of GitHub repositories for the project: Build Lab Team This data is not pre-processed List of GitHub repositories for the project
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]
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]
Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...
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.
Financial data vendors have been in existence as long as financial data has been available. The first technology that allowed data vendors to disseminate was the ticker tape starting in the 1870s. Financial data includes "pre-trade" such as bid-ask data necessary to price a financial instrument and post-trade data such as the last trade price ...