When users understand the data sources and transparency measures behind filters, their trust in the filter’s accuracy grows. Higher trust leads to broader adoption and feedback, which in turn helps refine filter accuracy through iterative improvements.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.