Evaluating the effectiveness of a new system that identifies and bans accounts posting ads for prohibited content is crucial to ensure the system's success and to address potential issues. To measure its effectiveness, several data points and metrics can be considered:
1. Accuracy and False Positives/Negatives: Measure the system's accuracy in correctly identifying ads for prohibited content. A low false positive rate is essential to avoid mistakenly banning legitimate ads, while a low false negative rate is crucial for catching all prohibited content.
2. Banning Rate: Track the number of accounts that have been banned due to the new system. This will help understand the scale of the issue and how effectively the system is taking action.
3. User Complaints and Appeals: Monitor the volume of user complaints and appeals related to banned accounts and ads. High levels of appeals might indicate false positives or other issues with the system.
4. Prohibited Content Removal Rate: Measure how quickly the system identifies and removes prohibited content after it has been posted. A high removal rate indicates swift action against violations.
5. Recidivism Rate: Determine the percentage of banned accounts that attempt to rejoin the platform and post prohibited content again. This metric helps assess the deterrent effect of the system.
6. Geographic Impact: Analyze the system's effectiveness in different regions or countries to ensure it is not disproportionately affecting certain regions or missing specific problem areas.
7. Ad Engagement Metrics: Monitor metrics related to ad engagement, such as click-through rates, conversion rates, and user feedback, to understand if the quality of ads has improved after implementing the system.
8. Revenue Impact: Assess the impact of the system on advertising revenue. A decrease in revenue might indicate that some legitimate advertisers are getting caught in the system's net.
9. Compliance with Policies: Evaluate how well the system aligns with the company's policies and guidelines. Ensure that the system is consistent with legal and ethical standards.
10. Response Time: Measure the time it takes for the system to detect and take action against prohibited content. Reducing response time is crucial for enhancing user safety.
11. Comparative Analysis: Compare the system's performance with previous systems or industry benchmarks to gauge its relative effectiveness.
Regularly collecting and analyzing these metrics will provide insights into the system's performance and help identify areas for improvement. It's important to continuously refine the system based on the data and feedback to ensure it remains effective against evolving threats and meets user expectations.