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Since June 2016, colleges have seen a rise in cyber criminal activity and an increase of fake applications The purpose of the Spam Filter Web Service is to assist colleges in making accurate and informed decisions on whether an application coming in through CCCApply . The is fraudulent or not. At the heart of the web service is built for the CCCApply Standard application, with a back-end user interface that will be accessible in the new CCCApply Administrator (deploying in June). Both the spam filter service and the admin interface are under-development now - with an expected release date of June 2018. This is a huge project and will require the cooperation and participation of all colleges - not just the colleges being targeted with spam - in order to "train" the algorithm with accurate data - both good, legitimate applications as well as the bad, fraudulent applications.  

A comprehensive communication plan is mapped out, beginning with the announcement about the Spam Filter as part of the new CCCApply Administrator release- going out the week of March 19. Training webinars and user guides are being developed to accompany the new system.

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a machine learning model that does NOT make decisions, it just predicts whether an application meets specific "identifiers" that have been collected and analyzed by the model based on thousands of confirmed spam applications submitted by the colleges. 

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The User Interface tool gives the colleges the ability to review each application flagged as fraud and then make the final decision on whether they should be confirmed as fraud or not. The continuous learning and retraining of the model is based on the final confirmation by the college.


The links below provide an overview of the spam filter web service and user interface:


Note

Message to Colleges

Even if your college is not having a problem with fraud today, there's a chance you may have a problem in the future. The spam filter web service will give you the tools and knowledge to address fraud now and in the future.