Fake candidate profiles are frustrating, and the creation and distribution of disingenuous profiles is unfortunately an all-too-common issue that has long plagued the tech hiring process. Regardless of the reasons or intent of those responsible for creating them, nothing good can come from a situation where a person or company misrepresents themselves. It’s potentially an even larger issue for career-related sites like Dice, where engendering and maintaining trust with candidates, recruiters and hiring organizations is one of the most critical components for success.
The constant threat of individuals creating fraudulent profiles on Dice and on other career-related sites across the industry causes more than just annoyance, as these profiles also slows down the time necessary for recruiters to sift through candidates and make it harder for real candidates to stand out and take the next steps in their careers.
Throughout the industry, these fake profiles take a variety of forms. In some cases, they might be the result of a recruiter generating attention for other candidates they represent. In others, it could be an individual creating a profile that misrepresents their location or true identity to get their foot in the door.
As job boards and hiring solutions have evolved and digitized, so have the methods for creating fraudulent profiles. For Dice, this means that in order to offer the highest quality database of employers, we need to ensure they have access to confirmed, skilled and unique tech candidates. In 2020, we launched a foundational revamp of our fraud detection strategy, incorporating Artificial Intelligence and machine learning into the new system, which reduces the need for human intervention to remove fake profiles and other negative behavior.
Here’s what you can expect when using Dice for your hiring needs:
- Unmatched tech industry expertise enables Dice to uniquely determine the correct skills and classifications in candidate profiles.
- Our state-of-the-art fraud detection uses Artificial Intelligence to identify which candidate search results and applications are fake and recruiter-represented candidates.
- 97% confirmed self-represented candidates, as determined by a third-party evaluation of the Dice candidate database.
- Real-time evaluation leverages Machine Learning to improve our model and catch fake profiles before our clients waste time on them.
- Our dedicated compliance team provides a human touch with manual profile reviews and uses client feedback to improve our model.
Fake candidate profiles are frustrating, but that doesn’t mean they’re a necessary evil. To learn more about how Dice maintains a database of 97% validated technologist candidates, and how recruiters and hiring organizations can most effectively connect with this trove of top tech talent, contact us today.