Creating Target Publics for Welfare Policies by Lorenzo Barrault-Stella & Pierre-Edouard Weill

Author:Lorenzo Barrault-Stella & Pierre-Edouard Weill
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

5.4 Towards Increased Monitoring of the Most Vulnerable Populations

The application of data mining is, in theory, based on identifying the risk factors of undue welfare payments and not of at-risk populations. Furthermore, risk prediction models focus on the characteristics of the beneficiary’s situation rather than on benefits received or how their files are managed. However, the multiplication of certain risk factors for vulnerable or isolated households results in them being mechanically flagged as prime monitoring targets. In this way, the progressive generalization of data mining in this domain leads to the underprivileged being overexposed to checks.

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